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librarian-bots
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2025-06-07 04:14:30
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mdhasnainali/job-html-to-json
mdhasnainali
2025-06-04T09:26:09Z
210
0
[ "license:mit", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-05-25T11:26:53Z
null
--- license: mit configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: html dtype: string - name: json struct: - name: application_info struct: - name: apply_url dtype: string - name: contact_email dtype: string - name: deadline dtype: string - name: benefits sequence: string - name: cloud_providers sequence: string - name: databases sequence: string - name: department dtype: string - name: employment_type dtype: string - name: experience_level dtype: string - name: job_id dtype: string - name: language_requirements sequence: string - name: location struct: - name: city dtype: string - name: country dtype: string - name: hybrid dtype: bool - name: remote dtype: bool - name: state dtype: string - name: nice_to_have sequence: string - name: posted_date dtype: string - name: programming_languages sequence: string - name: qualifications struct: - name: certifications sequence: string - name: education_level dtype: string - name: fields_of_study dtype: string - name: recruitment_process sequence: string - name: requirements sequence: string - name: responsibilities sequence: string - name: salary struct: - name: currency dtype: string - name: max dtype: float64 - name: min dtype: float64 - name: period dtype: string - name: title dtype: string - name: tools sequence: string - name: work_schedule dtype: string - name: years_of_experience struct: - name: max dtype: float64 - name: min dtype: float64 - name: filename dtype: string splits: - name: train num_bytes: 53805084.25297892 num_examples: 5400 - name: test num_bytes: 548014.7470210816 num_examples: 55 download_size: 28261588 dataset_size: 54353099.0 ---
ChavyvAkvar/synthetic-trades-ADA-batch-30
ChavyvAkvar
2025-06-04T09:12:36Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T09:11:28Z
null
--- dataset_info: features: - name: scenario_id dtype: string - name: final_pnl_ratio dtype: float64 - name: max_drawdown dtype: float64 - name: total_trades dtype: int64 - name: synthetic_ohlc_open sequence: float64 - name: synthetic_ohlc_high sequence: float64 - name: synthetic_ohlc_low sequence: float64 - name: synthetic_ohlc_close sequence: float64 - name: garch_params_used_for_sim_str dtype: string - name: strategy_params_str dtype: string - name: strategy_exit_rules_str dtype: string splits: - name: train num_bytes: 923453990 num_examples: 1000 download_size: 924469330 dataset_size: 923453990 configs: - config_name: default data_files: - split: train path: data/train-* ---
AnhMinhLe/repoexec_functioncalling_test
AnhMinhLe
2025-06-04T09:10:44Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T09:10:17Z
null
--- dataset_info: features: - name: id dtype: int64 - name: project dtype: string - name: module dtype: string - name: entry_point dtype: string - name: solution dtype: string - name: target_function_prompt dtype: string - name: function_signature dtype: string - name: docstring dtype: string - name: original_docstring dtype: string - name: docstring_tokens sequence: string - name: cross_context dtype: bool - name: isContained dtype: bool - name: raw_solution dtype: string - name: check dtype: string - name: test_list sequence: string - name: coverage dtype: float64 - name: prompt dtype: string - name: anchor_name dtype: string - name: anchor_text struct: - name: description dtype: string - name: file_path dtype: string - name: name dtype: string - name: signature dtype: string - name: dependencies struct: - name: negative struct: - name: apimd/loader.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: apimd/logger.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: apimd/parser.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: apimd/pep585.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: 'null' - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: cookiecutter/config.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: cookiecutter/environment.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: cookiecutter/exceptions.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: 'null' - name: variable sequence: 'null' - name: cookiecutter/prompt.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: cookiecutter/repository.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: cookiecutter/vcs.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: cookiecutter/zipfile.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: dataclasses_json/api.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: 'null' - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: dataclasses_json/cfg.py struct: - name: classes list: - name: base_classes sequence: 'null' - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: dataclasses_json/core.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: dataclasses_json/mm.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: dataclasses_json/utils.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: docstring_parser/common.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: docstring_parser/google.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods sequence: 'null' - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: docstring_parser/numpydoc.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: examples/terasort.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: fastapi/datastructures.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: fastapi/openapi/constants.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: 'null' - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: fastapi/utils.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: flutes/iterator.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: flutes/math.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: 'null' - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: flutes/structure.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: flutils/codecs/b64.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: flutils/codecs/raw_utf8_escape.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: flutils/moduleutils.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: flutils/namedtupleutils.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: 'null' - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: flutils/objutils.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: flutils/packages.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods sequence: 'null' - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: flutils/pathutils.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: flutils/strutils.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: flutils/txtutils.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: flutils/validators.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: httpie/__init__.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: 'null' - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: httpie/config.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: httpie/utils.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: luigi/cmdline_parser.py struct: - name: classes list: - name: base_classes sequence: 'null' - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: luigi/configuration/__init__.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: luigi/configuration/cfg_parser.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: luigi/configuration/core.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: luigi/configuration/toml_parser.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: luigi/contrib/dataproc.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: luigi/contrib/hdfs/clients.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: 'null' - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: luigi/contrib/hdfs/config.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods sequence: 'null' - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: luigi/contrib/hdfs/hadoopcli_clients.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: luigi/contrib/hdfs/webhdfs_client.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods sequence: 'null' - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: luigi/contrib/postgres.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: luigi/contrib/s3.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: luigi/contrib/salesforce.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: luigi/contrib/ssh.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: luigi/execution_summary.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - 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name: sanic/headers.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: sanic/helpers.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: sanic/http.py struct: - name: classes list: - name: base_classes sequence: 'null' - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: sanic/log.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: sanic/request.py struct: - name: classes list: - name: base_classes sequence: 'null' - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: sanic/response.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: sanic/utils.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/core/downloader/webclient.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/crawler.py struct: - name: classes list: - name: base_classes sequence: 'null' - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: scrapy/downloadermiddlewares/ajaxcrawl.py struct: - name: classes list: - name: base_classes sequence: 'null' - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - 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name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/http/response/__init__.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - 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name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods sequence: 'null' - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/pqueues.py struct: - name: classes list: - name: base_classes sequence: 'null' - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/responsetypes.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - 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name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: scrapy/utils/url.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/utils/versions.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: 'null' - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: semantic_release/ci_checks.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: src/blib2to3/pgen2/grammar.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: src/blib2to3/pgen2/token.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: 'null' - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: src/blib2to3/pgen2/tokenize.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: string_utils/_regex.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: string_utils/errors.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: string_utils/generation.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: string_utils/manipulation.py struct: - name: classes list: - name: base_classes sequence: 'null' - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: string_utils/validation.py struct: - name: classes list: - name: base_classes sequence: 'null' - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tests/test_router_events.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods sequence: 'null' - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: tests/unit/mocks/pathlib.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: thonny/ast_utils.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: thonny/token_utils.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/_locale_data.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: 'null' - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/auth.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: tornado/concurrent.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/escape.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/gen.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/httpclient.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: 'null' - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/httpserver.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: tornado/httputil.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/ioloop.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/locale.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: 'null' - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/log.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/netutil.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/platform/asyncio.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/process.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: tornado/routing.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/template.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/testing.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/util.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/web.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: typesystem/base.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: typesystem/composites.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: typesystem/fields.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: typesystem/json_schema.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: typesystem/schemas.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: typesystem/tokenize/tokenize_json.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: typesystem/tokenize/tokenize_yaml.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: typesystem/tokenize/tokens.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: youtube_dl/aes.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: youtube_dl/compat.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: youtube_dl/downloader/f4m.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: youtube_dl/downloader/fragment.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: youtube_dl/utils.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: positive struct: - name: apimd/parser.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: apimd/pep585.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: 'null' - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: cookiecutter/config.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: cookiecutter/repository.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: dataclasses_json/api.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: dataclasses_json/core.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - 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name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: sanic/log.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: sanic/request.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: sanic/response.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: scrapy/core/downloader/webclient.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/crawler.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: scrapy/downloadermiddlewares/ajaxcrawl.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: scrapy/exceptions.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods sequence: 'null' - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: 'null' - name: variable sequence: 'null' - name: scrapy/http/request/__init__.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/http/response/__init__.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/http/response/text.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/settings/__init__.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/spidermiddlewares/referer.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: scrapy/utils/curl.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: scrapy/utils/defer.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/utils/deprecate.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: scrapy/utils/gz.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/utils/httpobj.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/utils/iterators.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/utils/misc.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: scrapy/utils/python.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: scrapy/utils/reactor.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: 'null' - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/utils/reqser.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/utils/request.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: scrapy/utils/template.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: scrapy/utils/test.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: 'null' - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: scrapy/utils/trackref.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: scrapy/utils/url.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: semantic_release/errors.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods sequence: 'null' - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: 'null' - name: variable sequence: 'null' - name: src/blib2to3/pgen2/tokenize.py struct: - name: classes list: - name: base_classes sequence: 'null' - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: string_utils/_regex.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: string_utils/errors.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: string_utils/manipulation.py struct: - name: classes list: - name: base_classes sequence: 'null' - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: string_utils/validation.py struct: - name: classes list: - name: base_classes sequence: 'null' - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: tornado/auth.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: tornado/concurrent.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/escape.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/gen.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/httputil.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods sequence: 'null' - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/ioloop.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: tornado/locale.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/log.py struct: - name: classes sequence: 'null' - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/netutil.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: tornado/testing.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: 'null' - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: tornado/util.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods sequence: 'null' - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: typesystem/composites.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: typesystem/fields.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: typesystem/json_schema.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: typesystem/schemas.py struct: - name: classes list: - name: base_classes sequence: string - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: methods list: - name: code dtype: string - name: description dtype: string - name: name dtype: string - name: name dtype: string - name: test_sample dtype: string - name: text dtype: string - name: functions sequence: 'null' - name: import_statements sequence: string - name: variable sequence: 'null' - name: typesystem/tokenize/positional_validation.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: 'null' - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: typesystem/tokenize/tokenize_json.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: typesystem/tokenize/tokenize_yaml.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: youtube_dl/aes.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable list: - name: test_sample dtype: string - name: text dtype: string - name: youtube_dl/utils.py struct: - name: classes sequence: 'null' - name: functions list: - name: code dtype: string - name: description dtype: string - name: file_path dtype: string - name: incoming_calls sequence: string - name: name dtype: string - name: parameters sequence: string - name: signature dtype: string - name: test_sample dtype: string - name: text dtype: string - name: import_statements sequence: string - name: variable sequence: 'null' - name: import_statements sequence: string splits: - name: custom_1_example num_bytes: 75334502 num_examples: 355 - name: custom_no_example num_bytes: 75059614 num_examples: 355 - name: custom_bm25_no_example num_bytes: 76262525 num_examples: 355 download_size: 55160311 dataset_size: 226656641 configs: - config_name: default data_files: - split: custom_1_example path: data/custom_1_example-* - split: custom_no_example path: data/custom_no_example-* - split: custom_bm25_no_example path: data/custom_bm25_no_example-* ---
ssktora/fiqa-train-bm25-pyserini
ssktora
2025-06-04T09:03:42Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T09:03:29Z
null
--- dataset_info: features: - name: query_id dtype: string - name: query dtype: string - name: positive_passages list: - name: docid dtype: string - name: title dtype: string - name: text dtype: string - name: negative_passages list: - name: docid dtype: string - name: title dtype: string - name: text dtype: string splits: - name: train num_bytes: 305661794 num_examples: 5500 download_size: 174033728 dataset_size: 305661794 configs: - config_name: default data_files: - split: train path: data/train-* ---
ChavyvAkvar/synthetic-trades-BTC-batch-43
ChavyvAkvar
2025-06-04T09:03:39Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T09:02:47Z
null
--- dataset_info: features: - name: scenario_id dtype: string - name: final_pnl_ratio dtype: float64 - name: max_drawdown dtype: float64 - name: total_trades dtype: int64 - name: synthetic_ohlc_open sequence: float64 - name: synthetic_ohlc_high sequence: float64 - name: synthetic_ohlc_low sequence: float64 - name: synthetic_ohlc_close sequence: float64 - name: garch_params_used_for_sim_str dtype: string - name: strategy_params_str dtype: string - name: strategy_exit_rules_str dtype: string splits: - name: train num_bytes: 923450305 num_examples: 1000 download_size: 924485558 dataset_size: 923450305 configs: - config_name: default data_files: - split: train path: data/train-* ---
A113NW3I/TIIF-Bench-Data
A113NW3I
2025-06-04T08:58:58Z
293
4
[ "license:mit", "size_categories:1K<n<10K", "format:imagefolder", "modality:image", "library:datasets", "library:mlcroissant", "arxiv:2506.02161", "region:us" ]
[]
2025-05-22T10:57:35Z
null
--- license: mit paperswithcode: - arxiv:2506.02161 --- We release the images generated by the proprietary models evaluated in [“🔍TIIF-Bench: How Does Your T2I Model Follow Your Instructions?”](https://arxiv.org/abs/2506.02161). Produced under carefully crafted, high-quality prompts, these images form a valuable asset that can benefit the open-source community in a variety of applications🔥.
lyan62/hanfu-bench
lyan62
2025-06-04T08:56:37Z
0
0
[ "task_categories:visual-question-answering", "task_categories:image-to-image", "language:en", "language:zh", "license:cc-by-nc-2.0", "size_categories:1K<n<10K", "format:imagefolder", "modality:image", "library:datasets", "library:mlcroissant", "arxiv:2506.01565", "region:us", "culture", "hanfu" ]
[ "visual-question-answering", "image-to-image" ]
2025-06-04T08:35:30Z
null
--- license: cc-by-nc-2.0 task_categories: - visual-question-answering - image-to-image language: - en - zh tags: - culture - hanfu size_categories: - 1K<n<10K --- # Dataset Card for Dataset Name <!-- Provide a quick summary of the dataset. --> Official Dataset for [Hanfu-Bench: A Multimodal Benchmark on Cross-Temporal Cultural Understanding and Transcreation](https://arxiv.org/abs/2506.01565) ## Dataset Description We introduce Hanfu-Bench, a novel, expert-curated multimodal dataset. Hanfu, a traditional garment spanning ancient Chinese dynasties, serves as a representative cultural heritage that reflects the profound temporal aspects of Chinese culture while remaining highly popular in Chinese contemporary society. Hanfu-Bench comprises two core tasks: cultural visual understanding and cultural image transcreation. The former task examines temporal-cultural feature recognition based on single- or multi-image inputs through multiple-choice visual question answering, while the latter focuses on transforming traditional attire into modern designs through cultural element inheritance and modern context adaptation. Our evaluation shows that closed VLMs perform comparably to non-experts on visual cutural understanding but fall short by 10% to human experts, while open VLMs lags further behind non-experts. For the transcreation task, multi-faceted human evaluation indicates that the best-performing model achieves a success rate of only 42%. Our benchmark provides an essential testbed, revealing significant challenges in this new direction of temporal cultural understanding and creative adaptation. ![image/png](https://cdn-uploads.huggingface.co/production/uploads/619b506f70d03780cbec5806/O2uJf3nA2UN4Ebq9qrRq2.png) ## Usage This dataset contains two json files containing the single-image VQA task, and multi-image VQA task, accompanied by the corresponding images. ## Citation <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> ``` @misc{zhou2025hanfubenchmultimodalbenchmarkcrosstemporal, title={Hanfu-Bench: A Multimodal Benchmark on Cross-Temporal Cultural Understanding and Transcreation}, author={Li Zhou and Lutong Yu and Dongchu Xie and Shaohuan Cheng and Wenyan Li and Haizhou Li}, year={2025}, eprint={2506.01565}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2506.01565}, } ``` ## Dataset Card Authors Li Zhou, Lutong Yu, Dongchu Xie, Shaohuan Cheng, Wenyan Li, Haizhou Li ## Dataset Card Contact If you have any questions regarding the dataset, please reach out to: lizhou21@cuhk.edu.cn
Chenmien/UltraFeedback
Chenmien
2025-06-04T08:56:27Z
0
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T08:56:08Z
null
--- dataset_info: features: - name: messages list: - name: content dtype: string - name: role dtype: string - name: chosen dtype: string - name: rejected dtype: string splits: - name: train num_bytes: 191594009 num_examples: 61135 download_size: 109189629 dataset_size: 191594009 configs: - config_name: default data_files: - split: train path: data/train-* ---
YuZeng260/puzzle_no_rotate_RL
YuZeng260
2025-06-04T08:55:59Z
0
0
[ "license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T08:46:59Z
null
--- license: apache-2.0 ---
ChavyvAkvar/synthetic-trades-ADA-batch-28
ChavyvAkvar
2025-06-04T08:46:31Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T08:45:21Z
null
--- dataset_info: features: - name: scenario_id dtype: string - name: final_pnl_ratio dtype: float64 - name: max_drawdown dtype: float64 - name: total_trades dtype: int64 - name: synthetic_ohlc_open sequence: float64 - name: synthetic_ohlc_high sequence: float64 - name: synthetic_ohlc_low sequence: float64 - name: synthetic_ohlc_close sequence: float64 - name: garch_params_used_for_sim_str dtype: string - name: strategy_params_str dtype: string - name: strategy_exit_rules_str dtype: string splits: - name: train num_bytes: 923454323 num_examples: 1000 download_size: 924469643 dataset_size: 923454323 configs: - config_name: default data_files: - split: train path: data/train-* ---
svjack/Xiang_Lookalike_Videos_Omni_Captioned
svjack
2025-06-04T08:41:35Z
0
0
[ "size_categories:n<1K", "modality:text", "modality:video", "library:datasets", "library:mlcroissant", "region:us" ]
[]
2025-06-04T08:41:27Z
null
--- configs: - config_name: default data_files: - split: train path: - "*.mp4" - "metadata.csv" ---
nqzfaizal77ai/nqzanime-female-512
nqzfaizal77ai
2025-06-04T08:41:02Z
125
0
[ "license:cc-by-nc-4.0", "size_categories:n<1K", "format:imagefolder", "modality:image", "library:datasets", "library:mlcroissant", "region:us" ]
[]
2025-05-24T01:35:58Z
null
--- license: cc-by-nc-4.0 --- this is collection dataset from extracting anime : * angel beats (available only reach episode 2) * argevollen (available only reach episode 2) * asterisk war * azur lane * baby steps * black bullet * break blade * btooom * chrome shelled regios (available only reach episode 2) * clannad * classroom crisis * classroom of the elite * code geass lelouch rebellion * darling in the franxx * date a live * death note * devil survivor 2 * diamond no ace * egao no daika * full metal panic * gargantia * guilty crown * hanebado * heavy object * highscool dxd * highschool of the dead * hinomaruzumou * hyouka * kantai collection * knight in area * k-on * kyoukai no kanata * legend of the galactic heroes * little buster * magical girl spec ops asuka * majestic prince (available only reach episode 2) * mahouka koukou no rettousei * mobile suit gundam 00 * mobile suit gundam: iron-blooded orphans * oregairu * oreshura * oresuki * phantasy star * rakudai kishi no cavalry * sakurasau no pet na kanojo * steins gate * strike the blood * suzumiya haruhi * taboo tattoo * toaru kagaku no accelerator * toaru kagaku no magical index * toaru kagaku no railgun * unbreakable machine doll * upotte * valvrave the liberator * zenonzard * zetsuen no tempest * z/x ignition and some is from hunting anime image related to work,school,law,modern military,scientist,sport,martial-art,and sci-fi
pepijn223/lekiwi1749025613
pepijn223
2025-06-04T08:27:28Z
0
0
[ "task_categories:robotics", "license:apache-2.0", "size_categories:n<1K", "format:parquet", "modality:tabular", "modality:timeseries", "modality:video", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us", "LeRobot" ]
[ "robotics" ]
2025-06-04T08:27:25Z
null
--- license: apache-2.0 task_categories: - robotics tags: - LeRobot configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.1", "robot_type": "lekiwi_client", "total_episodes": 1, "total_frames": 250, "total_tasks": 1, "total_videos": 2, "total_chunks": 1, "chunks_size": 1000, "fps": 10, "splits": { "train": "0:1" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 9 ], "names": [ "arm_shoulder_pan.pos", "arm_shoulder_lift.pos", "arm_elbow_flex.pos", "arm_wrist_flex.pos", "arm_wrist_roll.pos", "arm_gripper.pos", "x.vel", "y.vel", "theta.vel" ] }, "observation.state": { "dtype": "float32", "shape": [ 9 ], "names": [ "arm_shoulder_pan.pos", "arm_shoulder_lift.pos", "arm_elbow_flex.pos", "arm_wrist_flex.pos", "arm_wrist_roll.pos", "arm_gripper.pos", "x.vel", "y.vel", "theta.vel" ] }, "observation.images.front": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 10, "video.channels": 3, "has_audio": false } }, "observation.images.wrist": { "dtype": "video", "shape": [ 640, 480, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 640, "video.width": 480, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 10, "video.channels": 3, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```
if001/bunpo_phi4_ctx_ac
if001
2025-06-04T08:09:27Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T08:09:23Z
null
--- dataset_info: features: - name: text dtype: string - name: pattern dtype: int64 - name: base_text dtype: int64 splits: - name: train num_bytes: 790242 num_examples: 2359 download_size: 403010 dataset_size: 790242 configs: - config_name: default data_files: - split: train path: data/train-* ---
Treza12/Reccurence_Energy
Treza12
2025-06-04T08:08:17Z
0
0
[ "size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T08:08:14Z
null
--- dataset_info: features: - name: prompt dtype: string - name: image dtype: image - name: label dtype: string splits: - name: train num_bytes: 7318952.0 num_examples: 21 download_size: 5068400 dataset_size: 7318952.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "Reccurence_Energy" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
speechbrain/LoquaciousSet
speechbrain
2025-06-04T08:08:07Z
6,943
45
[ "task_categories:automatic-speech-recognition", "annotations_creators:crowdsourced", "annotations_creators:machine-generated", "language_creators:crowdsourced", "language_creators:machine-generated", "multilinguality:monolingual", "language:en", "license:cc-by-3.0", "license:cc-by-4.0", "size_categories:10M<n<100M", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "arxiv:2101.00390", "arxiv:2406.00899", "region:us", "robust-speech-recognition", "noisy-speech-recognition", "speech-recognition" ]
[ "automatic-speech-recognition" ]
2025-01-22T15:23:15Z
null
--- annotations_creators: - crowdsourced - machine-generated language_creators: - crowdsourced - machine-generated language: - en license: - cc-by-3.0 - cc-by-4.0 multilinguality: - monolingual size_categories: - 1T<n task_categories: - automatic-speech-recognition task_ids: [] pretty_name: LargeScaleASR tags: - robust-speech-recognition - noisy-speech-recognition - speech-recognition configs: - config_name: large features: - name: ID dtype: string - name: duration dtype: float32 - name: wav dtype: audio: sample_rate: 16000 decode: False - name: spk_id dtype: string - name: sex dtype: string - name: text dtype: string data_files: - split: train path: large/train* - split: dev path: dev/dev* - split: test path: test/test* - config_name: clean features: - name: ID dtype: string - name: duration dtype: float32 - name: wav dtype: audio: sample_rate: 16000 decode: False - name: spk_id dtype: string - name: sex dtype: string - name: text dtype: string data_files: - split: train path: clean/train* - split: dev path: dev/dev* - split: test path: test/test* - config_name: small features: - name: ID dtype: string - name: duration dtype: float32 - name: wav dtype: audio: sample_rate: 16000 decode: False - name: spk_id dtype: string - name: sex dtype: string - name: text dtype: string data_files: - split: train path: small/train* - split: dev path: dev/dev* - split: test path: test/test* - config_name: medium features: - name: ID dtype: string - name: duration dtype: float32 - name: wav dtype: audio: sample_rate: 16000 decode: False - name: spk_id dtype: string - name: sex dtype: string - name: text dtype: string data_files: - split: train path: medium/train* - split: dev path: dev/dev* - split: test path: test/test* --- # LargeScaleASR: 25,000 hours of transcribed and heterogeneous English speech recognition data for research and commercial use. Made of 6 subsets: 1. **large** contains 25,000 hours of read / spontaneous and clean / noisy transcribed speech. 2. **medium** contains 2,500 hours of read / spontaneous and clean / noisy transcribed speech. 3. **small** contains 250 hours of read / spontaneous and clean / noisy transcribed speech. 4. **clean** contains 13,000 hours of read / spontaneous transcribed speech. YODA and People's Speech data are excluded from this subset as, despite data curation, some errors remain in the transcriptions. 5. **dev** contains 15 hours (more details in the next section). 6. **test** contains 21 hours (more details in the next section). The large split requires 4TB of storage (including HuggingFace extraction). The shards only are 2TB. Example: ```python from datasets import load_dataset ds = load_dataset('speechbrain/LargeScaleASR', {'small'||'medium'||'large'}, num_proc={nb_of_cpu_cores_you_want}) print(ds['train']) from io import BytesIO import torchaudio wav_tensor = torchaudio.load(BytesIO(ds["train"][0]["wav"][bytes])) ``` ## Training recipe A full conformer ASR training recipe is available [here](https://github.com/speechbrain/speechbrain/pull/2806). ## Data description (Following information are directly copy-pasted from the SpeechBrain data preparation README) TLS is a mix of 5 existing dataset with permissive licences. The way it is mixed is described in the following table: | Dataset | Amount Taken (large/medium/small/dev/test) | License | | ------------- | ------------- | ------------- | | VoxPopuli | 550/500/50/5/7 | CC0 | | LibriHeavy | 11,000/500/50/0/0 | CC BY 4.0 | | Librispeech (dev-/test-other) | 0/0/0/5/7 | CC BY 4.0 | | yodas | 6,100/500/50/1.5/1.5 | CC BY 3.0 | | people's speech | 5,900/500/50/1.5/1.5 | CC-BY 4.0 | | CommonVoice 18.0 | 1660/500/50/5/7 | CC0 | *For dev and tests splits, only data from the corresponding dev and test sets of the considered dataset is used (i.e. not extracted from the train except for YODAS). For YODAS we extract data from the en003 split and verify the audio/transcription manually to form the dev/test partitions* More information relative to each dataset is given as: - [**voxpopuli**](https://arxiv.org/abs/2101.00390): we follow the standard SpeechBrain data preparation. - [**LibriHeavy**](https://arxiv.org/html/2309.08105v2): samples are randomly selected, but we follow the standard data preparation. - [**Librispeech**](https://www.danielpovey.com/files/2015_icassp_librispeech.pdf): Librispeech is only used for the validation and test sets of LargeScaleASR. More precisely, we extract samples from *dev-others* and *test-others* as they are the most challenging subsets. - [**YODAS**](https://arxiv.org/abs/2406.00899): The YODAS dataset is unfortunately unreliable. Indeed, audio are crawled from YouTube, and a lot of them (almost half) do not have the correct language. We used a [SpeechBrain language ID model](https://huggingface.co/speechbrain/lang-id-voxlingua107-ecapa) to make sure that we only integrate samples where people speak in English. Transcriptions have also been heavily normalised (see next section). We decided arbitrarily to use the *en000* and *en001* subsets of Yodas. Transcriptions may be a bit noisy. This is why this dataset is excluded from the dev and test sets of LargeScaleASR. - [**People's Speech**](https://huggingface.co/datasets/MLCommons/peoples_speech): Only the *clean* subset of this dataset is used in LargeScaleASR as the transcriptions there already have errors. This is why this dataset is excluded from the dev and test sets of LargeScaleASR. - [**CommonVoice 18.0**](https://commonvoice.mozilla.org/en): We removed a few speakers that had too many samples (above 9000 samples) to avoid any bias. Aside from this, we used only samples coming from the *validated* csv to ensure an optimal level of transcriptions. Text was also heavily normalised (see next section). ### Text and audio normalisation Some of the above datasets, in particular People's Speech, Yodas and CommonVoice have very little normalisation. This is an important issue as the pronunciation is then either incorrect or uncertain. We normalised all the sentences to ensure a set of characters containing only the standard 26 letter of the European alphabet plus the "'". Numerical values were converted to text using the [Nemo text processing WFST tool](https://github.com/NVIDIA/NeMo-text-processing). The rest of the text was properly filtered to remove symbols, youtube annotations like "applause" or many others elements. When sentences were too noisy, we simply decided to remove them (e.g. too many symbols). The text normalisation can be found in *speechbrain.utils.text_normalisation*. Audios are embedded as raw bytes (can be decoded by soundfile). We chunked and created smaller audio files from long ones based on start and stop supervision from the different manifests of the datasets (this is necessary for HuggingFace). Language ID with a [SpeechBrain language ID model](https://huggingface.co/speechbrain/lang-id-voxlingua107-ecapa) was performed on Yodas. #### Referencing the Loquacious Set and SpeechBrain ``` @inproceedings{Loquacious, title = {Loquacious Set: 25,000 Hours of Transcribed and Diverse English Speech Recognition Data for Research and Commercial Use}, author = {Titouan Parcollet and Yuan Tseng and Shucong Zhang and Rogier van Dalen}, year = {2025}, booktitle = {Interspeech 2025}, } @article{speechbrainV1, author = {Mirco Ravanelli and Titouan Parcollet and Adel Moumen and Sylvain de Langen and Cem Subakan and Peter Plantinga and Yingzhi Wang and Pooneh Mousavi and Luca Della Libera and Artem Ploujnikov and Francesco Paissan and Davide Borra and Salah Zaiem and Zeyu Zhao and Shucong Zhang and Georgios Karakasidis and Sung-Lin Yeh and Pierre Champion and Aku Rouhe and Rudolf Braun and Florian Mai and Juan Zuluaga-Gomez and Seyed Mahed Mousavi and Andreas Nautsch and Ha Nguyen and Xuechen Liu and Sangeet Sagar and Jarod Duret and Salima Mdhaffar and Ga{{\"e}}lle Laperri{{\`e}}re and Mickael Rouvier and Renato De Mori and Yannick Est{{\`e}}ve}, title = {Open-Source Conversational AI with SpeechBrain 1.0}, journal = {Journal of Machine Learning Research}, year = {2024}, volume = {25}, number = {333}, pages = {1--11}, url = {http://jmlr.org/papers/v25/24-0991.html} } ``` #### About SpeechBrain SpeechBrain is an open-source and all-in-one speech toolkit. It is designed to be simple, extremely flexible, and user-friendly. Competitive or state-of-the-art performance is obtained in various domains. Website: https://speechbrain.github.io/ GitHub: https://github.com/speechbrain/speechbrain
pepijn223/lekiwi1749024087
pepijn223
2025-06-04T08:01:45Z
0
0
[ "task_categories:robotics", "license:apache-2.0", "size_categories:n<1K", "format:parquet", "modality:tabular", "modality:timeseries", "modality:video", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us", "LeRobot" ]
[ "robotics" ]
2025-06-04T08:01:41Z
null
--- license: apache-2.0 task_categories: - robotics tags: - LeRobot configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.1", "robot_type": "lekiwi_client", "total_episodes": 1, "total_frames": 250, "total_tasks": 1, "total_videos": 2, "total_chunks": 1, "chunks_size": 1000, "fps": 10, "splits": { "train": "0:1" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 9 ], "names": [ "arm_shoulder_pan.pos", "arm_shoulder_lift.pos", "arm_elbow_flex.pos", "arm_wrist_flex.pos", "arm_wrist_roll.pos", "arm_gripper.pos", "x.vel", "y.vel", "theta.vel" ] }, "observation.state": { "dtype": "float32", "shape": [ 9 ], "names": [ "arm_shoulder_pan.pos", "arm_shoulder_lift.pos", "arm_elbow_flex.pos", "arm_wrist_flex.pos", "arm_wrist_roll.pos", "arm_gripper.pos", "x.vel", "y.vel", "theta.vel" ] }, "observation.images.front": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 10, "video.channels": 3, "has_audio": false } }, "observation.images.wrist": { "dtype": "video", "shape": [ 640, 480, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 640, "video.width": 480, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 10, "video.channels": 3, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```
Baiming123/MeSHDS
Baiming123
2025-06-04T07:56:25Z
18
3
[ "size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us", "biology" ]
[]
2024-06-23T16:56:29Z
null
--- tags: - biology size_categories: - 100M<n<1B --- License: cc-by-nc-4.0 Description: In this dataset, the lowest common ancestor (LCA) method was used to calculate the similarity between diseases in the MeSH (Medical Subject Headings) Tree Category C (disease) from NCBI. This dataset can be used to fine-tuning the SBERT model. The calculation process can be referred to the following article: ``` @article {Chen2024.05.17.594604, author = {Chen, Baiming}, title = {Refining Protein-Level MicroRNA Target Interactions in Disease from Prediction Databases Using Sentence-BERT}, elocation-id = {2024.05.17.594604}, year = {2024}, doi = {10.1101/2024.05.17.594604}, publisher = {Cold Spring Harbor Laboratory}, abstract = {miRNAs (MicroRNAs) regulate gene expression by binding to mRNAs, inhibiting translation, or promoting mRNA degradation. miRNAs are of great importance in the development of diseases. Currently, a variety of miRNA target prediction tools are available, which analyze sequence complementarity, thermodynamic stability, and evolutionary conservation to predict miRNA-target interactions (MTIs) within the 3{\textquoteright} untranslated region (3{\textquoteright}UTR). We propose a concept for further screening sequence-based predicted MTIs by considering the disease similarity between miRNA and gene to establish a prediction database of disease-specific MTIs. We fine-tuned a Sentence-BERT model to calculate disease semantic similarity. The method achieved an F1 score of 88\% in accurately distinguishing protein-level experimentally validated MTIs and predicted MTIs. Moreover, the method exhibits exceptional generalizability across different databases. The proposed method was utilized to calculate the similarity of disease in 1,220,904 MTIs from miRTarbase, miRDB, and miRWalk, involving 6,085 genes and 1,261 pre-miRNAs. The study holds the potential to offer valuable insights into comprehending miRNA-gene regulatory networks and advancing progress in disease diagnosis, treatment, and drug development.Competing Interest StatementThe authors have declared no competing interest.}, URL = {https://www.biorxiv.org/content/early/2024/09/18/2024.05.17.594604}, eprint = {https://www.biorxiv.org/content/early/2024/09/18/2024.05.17.594604.full.pdf}, journal = {bioRxiv} ```
Hcompany/WebClick
Hcompany
2025-06-04T07:54:53Z
31
13
[ "task_categories:text-generation", "task_categories:image-to-text", "language:en", "license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "arxiv:2401.13919", "arxiv:2506.02865", "arxiv:2410.23218", "arxiv:2502.13923", "arxiv:2501.12326", "region:us" ]
[ "text-generation", "image-to-text" ]
2025-04-30T19:44:42Z
null
--- language: - en license: apache-2.0 task_categories: - text-generation - image-to-text dataset_info: features: - name: image dtype: image - name: instruction dtype: string - name: bbox sequence: float64 - name: bucket dtype: string splits: - name: test num_bytes: 334903619 num_examples: 1639 download_size: 334903619 dataset_size: 334903619 configs: - config_name: default data_files: - split: test path: test* --- # WebClick: A Multimodal Localization Benchmark for Web-Navigation Models We introduce WebClick, a high-quality benchmark dataset for evaluating navigation and localization capabilities of multimodal models and agents in Web environments. WebClick features 1,639 English-language web screenshots from over 100 websites paired with precisely annotated natural-language instructions and pixel-level click targets, in the same format as the widely-used screenspot benchmark. ## Design Goals and Use Case WebClick is designed to measure and advance the ability of AI systems to understand web interfaces, interpret user instructions, and take accurate actions within digital environments. The dataset contains three distinct groups of web screenshots that capture a range of real-world navigation scenarios, from agent-based web retrieval to human tasks like online shopping and calendar management. On a more technical level, this benchmark is intended for assessing multimodal models on their ability to navigate web interfaces, evaluating AI agents' understanding of UI elements and their functions, and testing models' abilities to ground natural language instructions to specific interactive elements. ## Dataset Structure The dataset contains 1,639 samples divided into three key groups: 1. **`agentbrowse` (36%)**: Pages encountered by the SurferH agent while solving web retrieval tasks from [WebVoyager](https://arxiv.org/abs/2401.13919) 2. **`humanbrowse` (31.8%)**: Pages and elements interacted with by humans performing everyday tasks (e-shopping, trip planning, personal organization) 3. **`calendars` (32.2%)**: A specialized subset focusing on calendar interfaces, a known challenge for UI understanding models Each sample consists of: - **`image`**: A screenshot of a web page - **`instruction`**: A natural language instruction describing the desired action - **`bbox`**: Coordinates of the bounding box (relative to the image dimensions) that identify the correct click target, such as an input field or a button - **`bucket`**: One of `agentbrowse`, `humanbrowse`, `calendars`: group this row belongs to The dataset includes several challenging scenarios: - Disambiguation between similar elements (e.g., "the login button in the middle", “the login button in the top-right”) - Cases where OCR is insufficient because the visible text isn't the interactive element - Navigation requiring understanding of relative spatial relationships between information and interaction points ## Dataset Creation: High Quality Annotations and NLP Instructions A key strength of this benchmark is its meticulous annotation: all bounding boxes correspond precisely to HTML element boundaries, ensuring rigorous evaluation of model performance. Each screenshot is paired with natural language instructions that simulate realistic navigation requests, requiring models to not only understand UI elements but also interpret contextual relationships between visual elements. ### Curation Rationale WebClick focuses on realism by capturing authentic interactions: actions taken by humans and agents. The records of WebClick are English-language, desktop-size screenshots of 100+ websites. Each record points to an element outlined by a rectangular bounding box and an intent corresponding to it. In particular, the dataset focuses on providing bounding boxes and intents that are not ambiguous, thus increasing the trustworthiness of the evaluation of a VLM on this data. ### Challenging Examples for UI Element Selection With this new benchmark, H Company aims to unlock new capabilities in VLMs, and stimulate the progress of web agents. [comment]: # (Link to presentation with images https://docs.google.com/presentation/d/1NQGq75Ao_r-4GF8WCyK0BRPCdvkjzxIE2xP9ttV5UcM/edit#slide=id.g358e1dac3df_0_60) Our dataset includes examples that go beyond standard object detection or OCR, requiring genuine **UI understanding** and **instruction-based visual reasoning**. These examples highlight failure points in current models and test capabilities critical for real-world interaction with user interfaces, demonstrating H Company's commitment to creating targeted benchmarks around challenging areas. ### Key Challenges Captured in the Benchmark - **UI Understanding** Tasks require comprehension of common UI conventions (e.g., icons, labels, layout). For instance, identifying the correct user settings button may involve recognizing a gear icon, or adding a specific product to a cart might require interpreting both imagery and adjacent labels. State-of-the-art models often fail at such tasks due to lack of contextual or semantic UI awareness. - **Instruction-Based Disambiguation** Some instructions describe objects based on spatial position, appearance, or intent (e.g., "middle of the page", "green button"). These tasks require combining textual instruction with visual reasoning in order to solve them — a challange most models do not yet handle robustly. - **Calendar Navigation** Even frontier models struggle to interact with calendar widgets. Understanding which dates are available (e.g., not grayed out or marked unavailable) is a frequent failure case, demonstrating gaps in dynamic UI interpretation. - **Format and Location Sensitivity** Instructions that rely on regional formats—like time (“18:45”) or date representations—test the model’s resilience to location-specific variations. Models trained on culturally homogeneous data often perform poorly here. ### Example Tasks | **Category** | **Instruction** | **Image** | |------------------------|------------------------------------------------|-----------| | UI Understanding | Access user account settings | ![Access user account settings](./examples/Access%20user%20account%20settings.png) | | UI Understanding | Add Insignia cable to cart | ![Add Insignia cable to cart](./examples/Add%20Insignia%20cable%20to%20cart.png) | | UI Understanding | Pick the first available date | ![Pick the first available date](./examples/Pick%20the%20first%20available%20date.png) | | Format Understanding | Choose 18:45 | ![Choose 18:45](./examples/Choose%2018_45.png) | | UI Disambiguation | Green button to create a travel alert | ![Green Button to create a travel alert](./examples/Green%20Button%20to%20create%20a%20travel%20alert.png) | | UI Disambiguation | Log in button (middle of the page) | ![log in button (middle of the page)](./examples/log%20in%20button%20(middle%20of%20the%20page).png) | | UI Disambiguation | Select fifth image in gallery | ![Select fifth image in gallery](./examples/Select%20fifth%20image%20in%20gallery.png) | | Calendar Understanding | Select Aug 7th | ![Select aug 7th](./examples/Select%20aug%207th.png) | # Results of Popular Models To put our benchmark into context, we evaluate our benchmark alongside the popular Screenspot [1] and ScreenspotV2 [2] benchmarks using a set of popular pre-trained models. From the table we can observe that the models mostly underperform on WebClick compared to both Screenspot benchmarks, making it a more challenging task. We also find that WebClick provides better signal for downstream performance for agentic applications of the model. | **Model** | **WebClick (ours)** | Screenspot | Screenspot V2 | |-------------------------------|----------------------------|------------|---------------| | osunlp/UGround-V1-2B [3] | 71.69% | 77.12% | 79.31% | | osunlp/UGround-V1-7B [3] | 82.37% | 85.69% | 84.26% | | Qwen/Qwen2.5-VL-3B-Instruct [4] | 71.15% | 82.78% | 84.34% | | Qwen/Qwen2.5-VL-7B-Instruct [4] | 74.37% | 85.53% | 88.04% | | ByteDance-Seed/UI-TARS-2B-SFT [5] | 64.23% | 66.82% | 69.39% | | ByteDance-Seed/UI-TARS-7B-DPO [5] | 80.67% | 84.20% | 86.70% | | Holo1-3B | 81.50% | 86.01% | 87.33% | | Holo1-7B | 84.03% | 87.42% | 89.85% | ### Annotations Annotations were created by UI experts with specialized knowledge of web interfaces. Each screenshot was paired with a natural language instruction describing an intended action, and a bounding box precisely matching HTML element boundaries. All labels were hand-written or hand-reviewed. Instructions were rewritten when needed to only contain non-ambiguous intents rather than visual descriptions. Screenshots were manually reviewed to avoid any personal information, with any identifiable data removed or anonymized. ### Licence - **Curated by:** H Company - **Language:** English - **License:** Apache 2.0 ### Dataset Sources - **Paper:** https://arxiv.org/abs/2506.02865 ## Citation [1] SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents Kanzhi Cheng, Qiushi Sun, Yougang Chu, Fangzhi Xu, Yantao Li, Jianbing Zhang, Zhiyong Wu Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Aug. 2024 [2] OS-ATLAS: A Foundation Action Model for Generalist GUI Agents Zhiyong Wu, Zhenyu Wu, Fangzhi Xu, Yian Wang, Qiushi Sun, Chengyou Jia, Kanzhi Cheng, Zichen Ding, Liheng Chen, Paul Pu Liang, Yu Qiao arXiv preprint arXiv:2410.23218 (2024) [3] Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents Boyu Gou and Ruohan Wang and Boyuan Zheng and Yanan Xie and Cheng Chang and Yiheng Shu and Huan Sun and Yu Su The Thirteenth International Conference on Learning Representations (2025) [4] Qwen2.5-VL Technical Report Qwen Team arXiv preprint arXiv:2502.13923 (2025) [5] UI-TARS: Pioneering Automated GUI Interaction with Native Agents Yujia Qin, Yining Ye, Junjie Fang, Haoming Wang, Shihao Liang, Shizuo Tian, Junda Zhang, Jiahao Li, Yunxin Li, Shijue Huang, Wanjun Zhong, Kuanye Li, Jiale Yang, Yu Miao, Woyu Lin, Longxiang Liu, Xu Jiang, Qianli Ma, Jingyu Li, Xiaojun Xiao, Kai Cai, Chuang Li, Yaowei Zheng, Chaolin Jin, Chen Li, Xiao Zhou, Minchao Wang, Haoli Chen, Zhaojian Li, Haihua Yang, Haifeng Liu, Feng Lin, Tao Peng, Xin Liu, Guang Shi arXiv:2501.12326 (2025) **BibTeX:** ``` @dataset{hcompany2025uinavigate, author = {H Company Research Team}, title = {WebClick: A Multimodal Localization Benchmark for Web-Navigation Models}, year = {2025}, publisher = {H Company}, } @misc{andreux2025surferhmeetsholo1costefficient, title={Surfer-H Meets Holo1: Cost-Efficient Web Agent Powered by Open Weights}, author={Mathieu Andreux and Breno Baldas Skuk and Hamza Benchekroun and Emilien Biré and Antoine Bonnet and Riaz Bordie and Matthias Brunel and Pierre-Louis Cedoz and Antoine Chassang and Mickaël Chen and Alexandra D. Constantinou and Antoine d'Andigné and Hubert de La Jonquière and Aurélien Delfosse and Ludovic Denoyer and Alexis Deprez and Augustin Derupti and Michael Eickenberg and Mathïs Federico and Charles Kantor and Xavier Koegler and Yann Labbé and Matthew C. H. Lee and Erwan Le Jumeau de Kergaradec and Amir Mahla and Avshalom Manevich and Adrien Maret and Charles Masson and Rafaël Maurin and Arturo Mena and Philippe Modard and Axel Moyal and Axel Nguyen Kerbel and Julien Revelle and Mats L. Richter and María Santos and Laurent Sifre and Maxime Theillard and Marc Thibault and Louis Thiry and Léo Tronchon and Nicolas Usunier and Tony Wu}, year={2025}, eprint={2506.02865}, archivePrefix={arXiv}, primaryClass={cs.AI}, url={https://arxiv.org/abs/2506.02865}, } ``` ## Dataset Card Contact research@hcompany.ai
linagora/MinecraftStructuredDialogueCorpus
linagora
2025-06-04T07:42:51Z
34
0
[ "language:en", "license:cc0-1.0", "size_categories:n<1K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-04-22T10:06:55Z
null
--- license: cc0-1.0 language: - en configs: - config_name: default data_files: - split: train path: "TRAIN_307.json" - split: test path: "TEST_101.json" - split: dev path: "DEV_32.json" - split: val path: "VAL_100.json" --- # Minecraft Structured Dialogue Corpus The Minecraft Structured Dialogue Corpus (MSDC) is a discourse-annotated version of the [Minecraft Dialogue Corpus (MDC)](https://juliahmr.cs.illinois.edu/Minecraft/ACL2019.html), first created by Julia Hockenmaier's lab in 2019. The MSDC features complete, situated discourse structures for each dialogue in the style of Situated Discourse Representation Theory (Asher and Lascarides, 2003). **Dataset Description** The MSDC is a collection of natural language dialogues between pairs of human participants who meet in a simulated 3D Minecraft grid and communicate through a chat window. One assumes the role of Architect, and the other the role of Builder. At the beginning of each dialogue, the Architect is shown an image of a structure made from colored blocks, and the goal of the interaction is to help the Builder recreate the structure on the grid via typed Architect instructions. The chat interaction between the Architect and Builder produces linguistic speaker turns, while the Builder actions (the placement and removal of blocks) are represented textually, e.g. *place orange 2 1 -1*, and attributed to Builder as speaker. A small group of discourse experts and students annotated the corpus. First they hand-segmented the linguistic turns into elementary discourse units (EDUs). Each Builder action turn was considered a single elementary event unit (EEU). All but *7* of the dialogues in the MDC were annotated, and the original MDC splits were preserved, except for a small Development set culled from Test for the purpose of developing the [Llamipa discourse parser](https://huggingface.co/linagora/Llamipa). | | Train | Val | Test | Dev | Total | |----------------|-------|--------|------|------|------| |No. Dialogues | 307| 100 | 101 | 32 | 540| |No. EDUs | 9616 | 3297 | 3009 | 1128 | 17050 | |No. EEUs |6669 | 2240 | 2006 | 732 | 11647| |No. Relation instances |19598 | 6681 | 6018 | 2232 |34529| For more corpus stats and an in-depth description of the corpus creation, please see the paper below. **Citations** Please cite the paper below if using the MSDC in your work. Kate Thompson, Julie Hunter and Nicholas Asher, 2024. [Discourse Structure for the Minecraft Corpus](https://aclanthology.org/2024.lrec-main.444/). In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 4957–4967, Torino, Italia. ELRA and ICCL. ```bibtex @inproceedings{thompson-etal-2024-discourse, title = "Discourse Structure for the {M}inecraft Corpus", author = "Thompson, Kate and Hunter, Julie and Asher, Nicholas", editor = "Calzolari, Nicoletta and Kan, Min-Yen and Hoste, Veronique and Lenci, Alessandro and Sakti, Sakriani and Xue, Nianwen", booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)", month = may, year = "2024", address = "Torino, Italia", publisher = "ELRA and ICCL", url = "https://aclanthology.org/2024.lrec-main.444/", pages = "4957--4967" } ``` **Acknowledgements** We acknowledge support from the National Interdisciplinary Artificial Intelligence Institute, ANITI (Artificial and Natural Intelligence Toulouse Institute), funded by the French ‘Investing for the Future–PIA3’ program under the Grant agreement ANR-19-PI3A-000. We also thank the ANR project COCOBOTS (ANR-21-FAI2-0005), the ANR/DGA project DISCUTER (ANR21-ASIA-0005), and the COCOPIL “Graine” project funded by the Région Occitanie of France.
ChavyvAkvar/synthetic-trades-BNB-batch-39
ChavyvAkvar
2025-06-04T07:36:23Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T07:35:24Z
null
--- dataset_info: features: - name: scenario_id dtype: string - name: final_pnl_ratio dtype: float64 - name: max_drawdown dtype: float64 - name: total_trades dtype: int64 - name: synthetic_ohlc_open sequence: float64 - name: synthetic_ohlc_high sequence: float64 - name: synthetic_ohlc_low sequence: float64 - name: synthetic_ohlc_close sequence: float64 - name: garch_params_used_for_sim_str dtype: string - name: strategy_params_str dtype: string - name: strategy_exit_rules_str dtype: string splits: - name: train num_bytes: 923450716 num_examples: 1000 download_size: 924491400 dataset_size: 923450716 configs: - config_name: default data_files: - split: train path: data/train-* ---
koreankiwi99/mnlp_aggregate
koreankiwi99
2025-06-04T07:32:51Z
0
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T07:32:28Z
null
--- dataset_info: features: - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: dataset dtype: string splits: - name: train num_bytes: 465490366.0 num_examples: 134916 download_size: 250716899 dataset_size: 465490366.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
taiobot/so101_test5
taiobot
2025-06-04T07:17:56Z
61
0
[ "task_categories:robotics", "license:apache-2.0", "size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:timeseries", "modality:video", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us", "LeRobot", "so101", "tutorial" ]
[ "robotics" ]
2025-06-02T21:09:16Z
null
--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - so101 - tutorial configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.1", "robot_type": "so101", "total_episodes": 1, "total_frames": 892, "total_tasks": 1, "total_videos": 1, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:1" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.images.wrist": { "dtype": "video", "shape": [ 360, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 360, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```
Jax-dan/Lite-Thinking
Jax-dan
2025-06-04T07:05:08Z
0
0
[ "task_categories:text-generation", "language:zh", "language:en", "license:apache-2.0", "size_categories:100K<n<1M", "format:json", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[ "text-generation" ]
2025-06-04T06:30:04Z
null
--- license: apache-2.0 task_categories: - text-generation language: - zh - en pretty_name: lite-thinking size_categories: - 100K<n<1M --- ## Lite-Thinking: A Large-Scale Math Dataset with Moderate Reasoning Steps ![Lite-Thinking](cover.jpeg) ### Motivation With the rapid popularization of large reasoning models, like GPT-4o, Deepseek-R1, and Qwen3, there are increasing researchers seeking to build their own reasoning models. Typically, small foundation models are chosen; following the mature technology of Deepseek-R1, mathematical datasets are mainly adopted to build training corpora. Despite existing available datasets, represented by GSM8K, these datasets were originally published without annotating the reasoning steps that led to the final answers. This costs a lot of time and effort for researchers when training their models. On the other hand, generating the reasoning steps using a powerful model, such as Deepseek-R1, may result in an overthinking risk. To address the above two problems, this project re-annotates several frequently used mathematical datasets by prompting a moderately powerful LLM - Qwen2.5:32b. Compared with the other state-of-the-art LLMs, Qwen2.5:32b is naturally unable to perform reasoning. Therefore, it tends to generate short reasoning steps while solving relatively easy problems. We believe this makes Qwen2.5:32b a more effective distilled model that teaches small LLMs to think before responding. The major goal of this project is to facilitate researchers in building their own reasoning models without reproducing the annotation of reasoning steps. Also, through these efforts, we aim to reduce the tedious and inefficient overthinking on foundational problems to improve the LLM's thinking. ### Data Collection Four well-known mathematical datasets are considered in our project: - gsm8k：GSM8K is a dataset of 8.5K high quality linguistically diverse grade school math word problems created by human problem writers. [[download]](https://huggingface.co/datasets/openai/gsm8k) - gsm8k-zh：the Chinese version of GSM8K. [[download]](https://huggingface.co/datasets/meta-math/GSM8K_zh) - ape210k：a large-scale and template-rich dataset of mathematical word problems, containing 210K Chinese elementary school-level mathematical problems. Each question contains the best answer and the equation required to obtain the answer. [[download]](https://hyper.ai/cn/datasets/28445) - math23k：a dataset created to solve mathematical word problems, including 23,162 Chinese questions crawled from the Internet. [[download]](https://opendatalab.com/OpenDataLab/Math23K/explore/main) ### Annotator Models We hire [[Qwen2.5:32b]](https://huggingface.co/Qwen/Qwen-2.5-32B/tree/main/llm/llama2-7b-chat) as our annotator model for two main reasons: - The Qwen2.5 model itself does not have thinking ability, and its thinking process is more closely aligned with the target model. - The Qwen2.5 model itself does not have formatted outputs'<think>...</think>\ n<answer>...</answer>', so the samples it can correctly label (including format and calculation result correctness) are also more suitable for learning the target model. To facilitate our implementation, we use [[Ollama]](https://ollama.com/) to run the model on the local machine. ### Annotation The annotation process is divided into two steps: the thinking process generation and answer validation. 1. **Thinking Process Generation**: During this step, we prompt the annotator model to generate the reasoning steps before answering the question. The prompt we used is blow: ```text You are a helpful assistant. The user asks a question, and you solve it. You should first think about the reasoning process step by step and then provide the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think>\n<answer> answer here </answer>. ``` 2. **Answer validation**: During this step, we prompt the annotator model to check the truth of the final answer within `<answer> ... </answer>` tags. This can be recognized into two circumstances: - For the numerical answers, like 3.98 or 2.12, we can use a universal regular expression to check the correctness of the answer. - For the symbolic answers, such as 1e-5, 1/10, 2*(3/5), etc., we resort to prompting another model to check whether model-annotated answers are equal to the ground truth. For example, on the gsm8k-zh dataset, we use the following prompt: ```text 你是一名数学老师，给你一道数学题和两个答案，不考虑格式上的差异，请判断这两个答案是否相同。你无需关注答案的正确性，并且只能回答`是`或`否`。 问题：{question} 答案1：{ans1} 答案2：{ans2} 请在思考后回答`是`或`否`。 ``` ### Data Statistics Notably, only the samples with the correct answer are used for training. Besides, only the training samples of each dataset are re-annotated with thinking steps. Finally, we get a dataset with the following statistics: | Data Split | Sample Number | Thinking Length (Max.) | Thinking Length (Avg.) | Thinking Length (Min.) | |------------|---------------|------------------------|------------------------|------------------------| | Train | 232,279 | 1,989.00 | 212.66 | 8.00 | | Test | 13,464 | -- | -- | -- | ### Source Code The main codes of this project are written in Python and on our GitHub gits list: - Source code: https://gist.github.com/Lafitte1573/71ce46d890a29eb0b5a3a388ff7a4d73 Readers are welcome to use and check it!
talzoomanzoo/gpqa_diamond
talzoomanzoo
2025-06-04T06:58:44Z
11
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-03T02:30:26Z
null
--- dataset_info: features: - name: id dtype: int64 - name: Subdomain dtype: string - name: High-level domain dtype: string - name: Question dtype: string - name: Choices struct: - name: A dtype: string - name: B dtype: string - name: C dtype: string - name: D dtype: string - name: Correct Choice dtype: string splits: - name: train num_bytes: 174101 num_examples: 198 download_size: 106325 dataset_size: 174101 configs: - config_name: default data_files: - split: train path: data/train-* ---
talzoomanzoo/gpqa_diamond_raw
talzoomanzoo
2025-06-04T06:53:48Z
0
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T06:30:43Z
null
--- dataset_info: features: - name: id dtype: int64 - name: Subdomain dtype: string - name: High-level domain dtype: string - name: Question dtype: string - name: Choices dtype: 'null' - name: Correct Choice dtype: string splits: - name: train num_bytes: 104104 num_examples: 198 download_size: 63951 dataset_size: 104104 configs: - config_name: default data_files: - split: train path: data/train-* ---
akira-sasaki/so100_somlvla
akira-sasaki
2025-06-04T06:40:10Z
0
0
[ "task_categories:robotics", "license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:timeseries", "modality:video", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us", "LeRobot", "so100", "tutorial" ]
[ "robotics" ]
2025-06-04T06:39:51Z
null
--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - so100 - tutorial configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.1", "robot_type": "so100", "total_episodes": 30, "total_frames": 8970, "total_tasks": 1, "total_videos": 60, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:30" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.images.laptop": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "observation.images.phone": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```
ChavyvAkvar/synthetic-trades-XRP-cleaned
ChavyvAkvar
2025-06-04T06:36:52Z
0
0
[ "region:us" ]
[]
2025-06-04T06:26:38Z
null
--- dataset_info: features: - name: scenario_id dtype: string - name: final_pnl_ratio dtype: float64 - name: max_drawdown dtype: float64 - name: total_trades dtype: int64 - name: synthetic_ohlc_open sequence: float64 - name: synthetic_ohlc_high sequence: float64 - name: synthetic_ohlc_low sequence: float64 - name: synthetic_ohlc_close sequence: float64 - name: garch_params_used_for_sim_str dtype: string - name: strategy_params_str dtype: string - name: strategy_exit_rules_str dtype: string splits: - name: train num_bytes: 15332009053.345 num_examples: 16603 download_size: 15348779611 dataset_size: 15332009053.345 configs: - config_name: default data_files: - split: train path: data/train-* ---
bigai-nlco/ReflectionEvo
bigai-nlco
2025-06-04T06:30:41Z
518
7
[ "task_categories:question-answering", "task_categories:text-generation", "language:en", "license:mit", "size_categories:100K<n<1M", "format:json", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "arxiv:2505.16475", "region:us" ]
[ "question-answering", "text-generation" ]
2025-05-06T06:18:17Z
null
--- language: - en license: mit task_categories: - question-answering - text-generation size_categories: - 10K<n<100K configs: - config_name: Dpref data_files: - split: train path: - Dpref/Meta-Llama-3-8B-Instruct_bigbench.jsonl - Dpref/Meta-Llama-3-8B-Instruct_logiqa.jsonl - Dpref/Meta-Llama-3-8B-Instruct_math.jsonl - Dpref/Meta-Llama-3-8B-Instruct_mbpp.jsonl - Dpref/Mistral-7B-Instruct-v0.2_bigbench.jsonl - Dpref/Mistral-7B-Instruct-v0.2_logiqa.jsonl - Dpref/Mistral-7B-Instruct-v0.2_mbpp.jsonl - Dpref/gemma-2-9b-it_bigbench.jsonl - Dpref/gemma-2-9b-it_logiqa.jsonl - Dpref/gemma-2-9b-it_math.jsonl - Dpref/gemma-2-9b-it_mbpp.jsonl - config_name: D+- data_files: - split: train path: - D+-/Meta-Llama-3-8B-Instruct_bigbench.jsonl - D+-/Meta-Llama-3-8B-Instruct_logiqa.jsonl - D+-/Meta-Llama-3-8B-Instruct_math.jsonl - D+-/Meta-Llama-3-8B-Instruct_mbpp.jsonl - D+-/Mistral-7B-Instruct-v0.2_bigbench.jsonl - D+-/Mistral-7B-Instruct-v0.2_logiqa.jsonl - D+-/Mistral-7B-Instruct-v0.2_mbpp.jsonl - D+-/gemma-2-9b-it_bigbench.jsonl - D+-/gemma-2-9b-it_logiqa.jsonl - D+-/gemma-2-9b-it_math.jsonl - D+-/gemma-2-9b-it_mbpp.jsonl - config_name: D+ data_files: - split: train path: - D+/Meta-Llama-3-8B-Instruct_bigbench.jsonl - D+/Meta-Llama-3-8B-Instruct_logiqa.jsonl - D+/Meta-Llama-3-8B-Instruct_math.jsonl - D+/Meta-Llama-3-8B-Instruct_mbpp.jsonl - D+/Mistral-7B-Instruct-v0.2_bigbench.jsonl - D+/Mistral-7B-Instruct-v0.2_logiqa.jsonl - D+/Mistral-7B-Instruct-v0.2_mbpp.jsonl - D+/gemma-2-9b-it_bigbench.jsonl - D+/gemma-2-9b-it_logiqa.jsonl - D+/gemma-2-9b-it_math.jsonl - D+/gemma-2-9b-it_mbpp.jsonl --- Github Repo for ReflectEvo: https://github.com/bigai-nlco/ReflectEvo Arxiv Paper for ReflectEvo: https://arxiv.org/abs/2505.16475
ChavyvAkvar/synthetic-trades-BTC-batch-38
ChavyvAkvar
2025-06-04T06:28:12Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T06:26:42Z
null
--- dataset_info: features: - name: scenario_id dtype: string - name: final_pnl_ratio dtype: float64 - name: max_drawdown dtype: float64 - name: total_trades dtype: int64 - name: synthetic_ohlc_open sequence: float64 - name: synthetic_ohlc_high sequence: float64 - name: synthetic_ohlc_low sequence: float64 - name: synthetic_ohlc_close sequence: float64 - name: garch_params_used_for_sim_str dtype: string - name: strategy_params_str dtype: string - name: strategy_exit_rules_str dtype: string splits: - name: train num_bytes: 923450572 num_examples: 1000 download_size: 924490461 dataset_size: 923450572 configs: - config_name: default data_files: - split: train path: data/train-* ---
zy113/ChronoQA
zy113
2025-06-04T06:26:16Z
0
0
[ "license:cc-by-nc-sa-4.0", "size_categories:n<1K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T05:48:28Z
null
--- license: cc-by-nc-sa-4.0 --- # ChronoQA ChronoQA is a **passage-grounded** benchmark that tests whether retrieval-augmented generation (RAG) systems can keep **temporal** and **causal** facts straight when reading long-form narratives (novels, scripts, etc.). Instead of giving the entire book to the model, ChronoQA forces a RAG pipeline to *retrieve the right snippets* and reason about evolving characters and event sequences. | | | |-------------------------------|------------------------------------| | **Instances** | 497 question–answer pairs | | **Narratives** | 9 public-domain stories | | **Reasoning facets** | 8 (causal, character, setting, …) | | **Evidence** | Exact byte-offsets for each answer | | **Language** | English | | **Intended use** | Evaluate/train RAG systems that need chronology & causality | | **License (annotations)** | CC-BY-NC-SA-4.0 | --- ## Dataset Description ### Motivation Standard RAG pipelines often lose chronological order and collapse every mention of an entity into a single node. ChronoQA highlights the failures that follow. Example: *“Who was jinxing Harry’s broom during his **first** Quidditch match?”* – a system that only retrieves early chapters may wrongly answer *Snape* instead of *Quirrell*. ### Source Stories All texts come from Project Gutenberg (public domain in the US). | ID | Title | # Q | |----|-------|----| | oz | *The Wonderful Wizard of Oz* | 82 | | baskervilles | *The Hound of the Baskervilles* | 72 | | phantom | *The Phantom of the Opera* | 70 | | study_scarlet | *A Study in Scarlet* | 67 | | sign_four | *The Sign of the Four* | 62 | | hp_chamber | *Harry Potter and the Chamber of Secrets* | 55 | | sherlock_holmes | *The Adventures of Sherlock Holmes* | 34 | | hp_sorcerer_stone | *Harry Potter and the Sorcerer’s Stone* | 30 | | les_miserables | *Les Misérables* | 25 | ### Reasoning Facets 1. **Causal Consistency** 2. **Character & Behavioural Consistency** 3. **Setting, Environment & Atmosphere** 4. **Symbolism, Imagery & Motifs** 5. **Thematic, Philosophical & Moral** 6. **Narrative & Plot Structure** 7. **Social, Cultural & Political** 8. **Emotional & Psychological** --- ## Dataset Structure | Field | Type | Description | |-------|------|-------------| | `story_id` | `string` | ID of the narrative | | `question_id` | `int32` | QA index within that story | | `category` | `string` | One of the 8 reasoning facets | | `query` | `string` | Natural-language question | | `ground_truth` | `string` | Gold answer | | `passages` | **`sequence` of objects** | Each object contains: <br> • `start_sentence` `string` <br> • `end_sentence` `string` <br> • `start_byte` `int32` <br> • `end_byte` `int32` <br> • `excerpt` `string` | | `story_title`* | `string` | Human-readable title (optional, present in processed splits) | \*The raw JSONL released with the paper does **not** include `story_title`; it is added automatically in the hosted HF dataset for convenience. There is a single **all** split (497 rows). Create your own train/validation/test splits if needed (e.g. by story or by reasoning facet). --- ## Usage Example ```python from datasets import load_dataset ds = load_dataset("your-org/chronoqa", split="all") example = ds[0] print("Question:", example["query"]) print("Answer :", example["ground_truth"]) print("Evidence:", example["passages"][0]["excerpt"][:300], "…")
1g0rrr/demo3_frames_grab2
1g0rrr
2025-06-04T06:21:26Z
0
0
[ "task_categories:robotics", "license:apache-2.0", "size_categories:n<1K", "format:parquet", "modality:tabular", "modality:timeseries", "modality:video", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us", "LeRobot" ]
[ "robotics" ]
2025-06-04T06:21:22Z
null
--- license: apache-2.0 task_categories: - robotics tags: - LeRobot configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.1", "robot_type": "sam_two", "total_episodes": 1, "total_frames": 451, "total_tasks": 1, "total_videos": 3, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:1" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 7 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_side", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 7 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_side", "main_wrist_roll", "main_gripper" ] }, "observation.images.laptop": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.side": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.phone": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```
ioveeagle/s1K-1.1_gemma_tokenized_alpaca_format
ioveeagle
2025-06-04T06:02:12Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T05:53:26Z
null
--- dataset_info: features: - name: solution dtype: string - name: question dtype: string - name: cot_type dtype: string - name: source_type dtype: string - name: metadata dtype: string - name: gemini_thinking_trajectory dtype: string - name: gemini_attempt dtype: string - name: deepseek_thinking_trajectory dtype: string - name: deepseek_attempt dtype: string - name: gemini_grade dtype: string - name: gemini_grade_reason dtype: string - name: deepseek_grade dtype: string - name: deepseek_grade_reason dtype: string - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 78150869 num_examples: 1000 download_size: 36693457 dataset_size: 78150869 configs: - config_name: default data_files: - split: train path: data/train-* ---
NJU-RLer/ImagineBench
NJU-RLer
2025-06-04T05:40:37Z
14
2
[ "language:en", "size_categories:10M<n<100M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "arxiv:2505.10010", "region:us" ]
[]
2025-05-14T08:07:59Z
null
--- language: - en size_categories: - 10M<n<100M --- ## Dataset Description - **Repository:** [ImagineBench](https://github.com/LAMDA-RL/ImagineBench) - **Paper:** [ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts](https://huggingface.co/papers/2505.10010), [ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts](https://arxiv.org/abs/2505.10010v1) # Dataset Card for ImagineBench A benchmark for evaluating reinforcement learning algorithms that train the policies using both **real data** and **imaginary rollouts from LLMs**. The concept of imaginary rollouts was proposed by [KALM](https://openreview.net/forum?id=tb1MlJCY5g) (NeurIPS 2024), which focuses on extracting knowledge from LLMs, in the form of environmental rollouts, to improve RL policies' performance on novel tasks. Please check [the paper for ImagineBench](https://arxiv.org/abs/2505.10010v1) for more details. **Core focus**: Measuring how well agents can learn effective policies through LLM's imaginary rollouts and generalize well on novel tasks. ## Dataset Status We have released initial datasets for diverse environments, with both real+LLM-generated rollouts. More environments and tasks are under active development. ### Available Environments | Environment | Training tasks | Novel tasks | |-------------|-----------------------------------------------------------------|----------------------------------------------------------------------------------------------------| | CLEVR-Robot | move A ball to one direction of B ball | unseen tasks such as "gather all the balls together" and "arrange the balls in a line" | | Meta-World | ten different tasks provided by Meta-world benchmark | manipulation under the assumption that the agent is facing a wall / combination of training skills | | BabyAI | 7x7 Grid world with task like "goto", "putnext" and "open the door" | novel combination and extension of the training skills | | LIBERO | robotic manipulation involving pick and place | sequential pick and place / manipulation under the assumption of unsafe factors | | MuJoCo | robotic locomotion involving running forward/backward | sequential run forward and backward / jump in place | We are actively preparing: - More environment domains - Real+LLM-imaginary rollouts - Varying task difficulty levels ## Data in ImagineBench In ImagineBench, real- and imaginary-datasets returned by `get_dataset()` function are in `dict` type with the same format, where **N** is the number of rollouts and **T** is max trajectory length. - `observations`: An **(N, T, D)** array, where *D* is dim of observation space concatenated with instruction encoding. - `actions`: An **(N, T, D)** array, where *D* is dim of action space. - `rewards`: An **(N, T, 1)** array. - `masks`: An **(N, T, 1)** array indicating whether each time step in a trajectory is valid(1) or padding(0). ## Uses Basic usage can be found in our github repository [ImagineBench](https://github.com/LAMDA-RL/ImagineBench). ## Citation Please cite ImagineBench if you find this benchmark useful in your research: ``` @article{pang2025imaginebench, title={ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts}, author={Jing-Cheng Pang and Kaiyuan Li and Yidi Wang and Si-Hang Yang and Shengyi Jiang and Yang Yu}, journal={arXiv preprint arXiv:2505.10010}, year={2025} } ```
mortis22/AudioSpectograms
mortis22
2025-06-04T05:24:07Z
0
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:image", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T05:02:02Z
null
--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': happy '1': neutral '2': sad '3': angry '4': fear '5': disgust splits: - name: train num_bytes: 472610494.25 num_examples: 11726 download_size: 472569532 dataset_size: 472610494.25 configs: - config_name: default data_files: - split: train path: data/train-* ---
jinkhye/v5_markdown_image
jinkhye
2025-06-04T05:23:51Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T05:22:48Z
null
--- dataset_info: features: - name: messages list: - name: role dtype: string - name: content dtype: string - name: images list: image splits: - name: train num_bytes: 622847987.591 num_examples: 1319 download_size: 462180996 dataset_size: 622847987.591 configs: - config_name: default data_files: - split: train path: data/train-* ---
somosnlp-hackathon-2025/gastronomia-hispana-qa
somosnlp-hackathon-2025
2025-06-04T05:16:32Z
20
0
[ "language:es", "license:mit", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-05-21T23:38:52Z
null
--- license: mit language: - es size_categories: - 1K<n<10K ---
ArlingtonCL2/Barkopedia_Individual_Dog_Recognition_Dataset
ArlingtonCL2
2025-06-04T05:11:27Z
2,409
0
[ "task_categories:audio-classification", "language:en", "license:mit", "size_categories:1K<n<10K", "format:audiofolder", "modality:audio", "library:datasets", "library:mlcroissant", "region:us", "biology", "dog" ]
[ "audio-classification" ]
2025-04-15T06:17:30Z
null
--- license: mit task_categories: - audio-classification language: - en tags: - biology - dog pretty_name: Barkopedia_Individual_Dog_Recognition_Dataset size_categories: - 1K<n<10K --- This dataset is for Barkopedia Challenge [https://uta-acl2.github.io/barkopedia.html](https://uta-acl2.github.io/barkopedia.html) ## 📦 Dataset Description Check Training Data here: [ArlingtonCL2/Barkopedia_Individual_Dog_Recognition_Dataset](https://huggingface.co/datasets/ArlingtonCL2/Barkopedia_Individual_Dog_Recognition_Dataset/) This challenge provides a dataset of labeled dog bark audio clips: 8924 - **Training set**: 7137 clips (~120 clips per 60 dog IDs). - **Test set**: 1787 clips (~30 clips per 60 dog IDs) with hidden labels: - **709 public (~40%)** for live leaderboard updates. - **1078 private (~60%)** for final evaluation. *You will have access to all 1787 clips in the Dataset, the result of the 709 public clips will show the evaluation result.* ### 🔖 Labels Each clip is annotated with: a dog id from index number 1-60. The labels were manually generated and verified by us. --- The `train_labels.csv` file provides the ground truth (correct labels) for the training set. It contains the following columns: * **audio_id**: The filename of the dog bark audio clip (e.g., "bark_752352"). * **pred_dog_id**: The ID of the dog that the bark belongs to (an integer between 1 and 60). For example, a row with `audio_id` as "bark_2408" and `pred_dog_id` as "17" indicates that the audio clip "bark_2408.wav" contains a bark from dog number 17. ---
ChavyvAkvar/synthetic-trades-BNB-batch-33
ChavyvAkvar
2025-06-04T05:08:02Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T05:07:05Z
null
--- dataset_info: features: - name: scenario_id dtype: string - name: final_pnl_ratio dtype: float64 - name: max_drawdown dtype: float64 - name: total_trades dtype: int64 - name: synthetic_ohlc_open sequence: float64 - name: synthetic_ohlc_high sequence: float64 - name: synthetic_ohlc_low sequence: float64 - name: synthetic_ohlc_close sequence: float64 - name: garch_params_used_for_sim_str dtype: string - name: strategy_params_str dtype: string - name: strategy_exit_rules_str dtype: string splits: - name: train num_bytes: 923450285 num_examples: 1000 download_size: 924509994 dataset_size: 923450285 configs: - config_name: default data_files: - split: train path: data/train-* ---
mesolitica/Classification-Speech-Adversarial-Instructions
mesolitica
2025-06-04T04:43:43Z
0
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T04:32:38Z
null
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: audio_filename dtype: string splits: - name: train num_bytes: 8194310 num_examples: 69947 download_size: 764720 dataset_size: 8194310 configs: - config_name: default data_files: - split: train path: data/train-* --- # Classification-Speech-Adversarial-Instructions Original dataset from [mesolitica/Classification-Speech-Instructions](https://huggingface.co/datasets/mesolitica/Classification-Speech-Instructions), we convert to audio boolean classifier speech instructions, randomly 50% chance for positive and other 50% chance for negative.
abhayesian/lw_questions_from_opus_lw_questions_1
abhayesian
2025-06-04T04:42:36Z
0
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T04:42:34Z
null
--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 18408986 num_examples: 11604 download_size: 8868653 dataset_size: 18408986 configs: - config_name: default data_files: - split: train path: data/train-* ---
gouthxm07/fertilizer-rec-disease-control_by_GP
gouthxm07
2025-06-04T04:40:45Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T04:37:54Z
null
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 438752 num_examples: 2738 download_size: 194135 dataset_size: 438752 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "fertilizer-rec-disease-control_by_GP" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ko-vlm/K-SEED
ko-vlm
2025-06-04T04:40:03Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T04:37:11Z
null
--- dataset_info: features: - name: images dtype: image - name: conversations list: - name: content dtype: string - name: role dtype: string splits: - name: test num_bytes: 512671276.625 num_examples: 2971 download_size: 505008645 dataset_size: 512671276.625 configs: - config_name: default data_files: - split: test path: data/test-* ---
abhayesian/lw_questions_from_opus_lw_questions_2
abhayesian
2025-06-04T04:38:38Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T04:38:36Z
null
--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 7975792 num_examples: 3282 download_size: 4031844 dataset_size: 7975792 configs: - config_name: default data_files: - split: train path: data/train-* ---
ChavyvAkvar/synthetic-trades-ADA-batch-8
ChavyvAkvar
2025-06-04T04:28:14Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T04:26:52Z
null
--- dataset_info: features: - name: scenario_id dtype: string - name: final_pnl_ratio dtype: float64 - name: max_drawdown dtype: float64 - name: total_trades dtype: int64 - name: synthetic_ohlc_open sequence: float64 - name: synthetic_ohlc_high sequence: float64 - name: synthetic_ohlc_low sequence: float64 - name: synthetic_ohlc_close sequence: float64 - name: garch_params_used_for_sim_str dtype: string - name: strategy_params_str dtype: string - name: strategy_exit_rules_str dtype: string splits: - name: train num_bytes: 923454321 num_examples: 1000 download_size: 924504984 dataset_size: 923454321 configs: - config_name: default data_files: - split: train path: data/train-* ---
Allen-UQ/cora_2_hop_nei_aug
Allen-UQ
2025-06-04T04:21:35Z
0
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T04:21:15Z
null
--- dataset_info: features: - name: problem dtype: string - name: solution dtype: string - name: dataset dtype: string - name: split dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 8067719 num_examples: 1133 - name: validation num_bytes: 26585828 num_examples: 3727 - name: test num_bytes: 109633444 num_examples: 15277 download_size: 71028871 dataset_size: 144286991 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---
Raiff1982/Codettesspecial
Raiff1982
2025-06-04T04:14:02Z
33
0
[ "task_categories:question-answering", "task_categories:text-classification", "task_categories:summarization", "task_categories:text-generation", "language:en", "license:other", "size_categories:n<1K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "doi:10.57967/hf/5196", "region:us", "music", "art", "legal", "chemistry" ]
[ "question-answering", "text-classification", "summarization", "text-generation" ]
2025-04-21T07:39:21Z
null
--- license: other license_name: other license_link: LICENSE task_categories: - question-answering - text-classification - summarization - text-generation language: - en tags: - music - art - legal - chemistry pretty_name: Codettes special size_categories: - n>1T ---
ChavyvAkvar/synthetic-trades-BTC-batch-32
ChavyvAkvar
2025-06-04T04:08:06Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T04:07:10Z
null
--- dataset_info: features: - name: scenario_id dtype: string - name: final_pnl_ratio dtype: float64 - name: max_drawdown dtype: float64 - name: total_trades dtype: int64 - name: synthetic_ohlc_open sequence: float64 - name: synthetic_ohlc_high sequence: float64 - name: synthetic_ohlc_low sequence: float64 - name: synthetic_ohlc_close sequence: float64 - name: garch_params_used_for_sim_str dtype: string - name: strategy_params_str dtype: string - name: strategy_exit_rules_str dtype: string splits: - name: train num_bytes: 923450708 num_examples: 1000 download_size: 924466159 dataset_size: 923450708 configs: - config_name: default data_files: - split: train path: data/train-* ---
clnine/sample-dataset-wikipedia-nikkei225
clnine
2025-06-04T04:07:08Z
0
0
[ "task_categories:text-generation", "language:ja", "license:cc-by-sa-3.0", "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[ "text-generation" ]
2025-06-04T04:05:35Z
null
--- dataset_info: features: - name: id dtype: int64 - name: url dtype: string - name: title dtype: string - name: text dtype: string splits: - name: train num_bytes: 2640073 num_examples: 223 download_size: 1495296 dataset_size: 2640073 configs: - config_name: default data_files: - split: train path: data/train-* license: cc-by-sa-3.0 task_categories: - text-generation language: - ja --- このデータセットは、Wikipediaデータセットの日本語データのみを抽出したparquetファイルである[range3/wikipedia-ja-20230101](https://huggingface.co/datasets/range3/wikipedia-ja-20230101)より、[「Category:日経平均株価」](https://ja.wikipedia.org/wiki/Category:%E6%97%A5%E7%B5%8C%E5%B9%B3%E5%9D%87%E6%A0%AA%E4%BE%A1)に含まれる記事に該当するレコードを抽出した作業用サンプルです。
clnine/sample-dataset-wikipedia-cs-terms
clnine
2025-06-04T04:05:54Z
0
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T04:05:50Z
null
--- dataset_info: features: - name: id dtype: int64 - name: url dtype: string - name: title dtype: string - name: text dtype: string splits: - name: train num_bytes: 2427827 num_examples: 158 download_size: 1135197 dataset_size: 2427827 configs: - config_name: default data_files: - split: train path: data/train-* ---
netager/finance_news_summarizer
netager
2025-06-04T04:02:44Z
0
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T04:02:41Z
null
--- dataset_info: features: - name: system_prompt dtype: string - name: user_prompt dtype: string - name: assistant struct: - name: is_stock_related dtype: bool - name: negative_impact_stocks sequence: string - name: negative_keywords sequence: string - name: positive_impact_stocks sequence: string - name: positive_keywords sequence: string - name: reason_for_negative_impact dtype: string - name: reason_for_positive_impact dtype: string - name: summary dtype: string splits: - name: train num_bytes: 58345 num_examples: 10 download_size: 45793 dataset_size: 58345 configs: - config_name: default data_files: - split: train path: data/train-* ---
g-ronimo/CC12M_IN21K-256px-splits_dc-ae-f32c32-sana-1.0
g-ronimo
2025-06-04T04:02:28Z
30
0
[ "size_categories:10M<n<100M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-03T15:00:36Z
null
--- dataset_info: features: - name: image_id dtype: string - name: label dtype: string - name: latent sequence: sequence: sequence: sequence: float32 - name: latent_shape sequence: int64 splits: - name: train num_bytes: 245559810664.12448 num_examples: 19780075 - name: test num_bytes: 620725175.8755325 num_examples: 50000 download_size: 85664290708 dataset_size: 246180535840.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
jesbu1/bridge_v2_lerobot
jesbu1
2025-06-04T03:43:27Z
0
0
[ "task_categories:robotics", "license:apache-2.0", "region:us", "LeRobot", "widowx", "bridge-v2" ]
[ "robotics" ]
2025-06-03T23:42:13Z
null
--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - widowx - bridge-v2 configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.0", "robot_type": "widowx", "total_episodes": 53192, "total_frames": 1999410, "total_tasks": 19974, "total_videos": 212768, "total_chunks": 54, "chunks_size": 1000, "fps": 5, "splits": { "train": "0:53192" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "observation.state": { "dtype": "float32", "shape": [ 7 ], "names": [ "x", "y", "z", "roll", "pitch", "yaw", "gripper" ] }, "action": { "dtype": "float32", "shape": [ 7 ], "names": [ "x", "y", "z", "roll", "pitch", "yaw", "gripper" ] }, "camera_present": { "dtype": "bool", "shape": [ 4 ], "names": [ "image_0", "image_1", "image_2", "image_3" ] }, "observation.images.image_0": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 5.0, "video.height": 256, "video.width": 256, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.image_1": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 5.0, "video.height": 256, "video.width": 256, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.image_2": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 5.0, "video.height": 256, "video.width": 256, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.image_3": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 5.0, "video.height": 256, "video.width": 256, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```
pranavsaroha/so100_medicine_0602
pranavsaroha
2025-06-04T03:38:56Z
2
0
[ "task_categories:robotics", "license:apache-2.0", "size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:timeseries", "modality:video", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us", "LeRobot", "so100", "sort_medicine" ]
[ "robotics" ]
2025-06-03T02:03:44Z
null
--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - so100 - sort_medicine configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.1", "robot_type": "so100", "total_episodes": 16, "total_frames": 85877, "total_tasks": 1, "total_videos": 48, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:16" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.images.left_wrist": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.overhead": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.side_camera": { "dtype": "video", "shape": [ 720, 1280, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 720, "video.width": 1280, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```
ChavyvAkvar/synthetic-trades-ADA-batch-4
ChavyvAkvar
2025-06-04T03:38:28Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T03:37:26Z
null
--- dataset_info: features: - name: scenario_id dtype: string - name: final_pnl_ratio dtype: float64 - name: max_drawdown dtype: float64 - name: total_trades dtype: int64 - name: synthetic_ohlc_open sequence: float64 - name: synthetic_ohlc_high sequence: float64 - name: synthetic_ohlc_low sequence: float64 - name: synthetic_ohlc_close sequence: float64 - name: garch_params_used_for_sim_str dtype: string - name: strategy_params_str dtype: string - name: strategy_exit_rules_str dtype: string splits: - name: train num_bytes: 923454447 num_examples: 1000 download_size: 924475211 dataset_size: 923454447 configs: - config_name: default data_files: - split: train path: data/train-* ---
DonJoey/extract_principle_parallel_16
DonJoey
2025-06-04T03:35:30Z
0
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T03:35:23Z
null
--- dataset_info: features: - name: id dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: source dtype: string splits: - name: train num_bytes: 171433461 num_examples: 31914 download_size: 78051916 dataset_size: 171433461 configs: - config_name: default data_files: - split: train path: data/train-* ---
DonJoey/extract_principle_direct
DonJoey
2025-06-04T03:35:10Z
0
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T03:35:00Z
null
--- dataset_info: features: - name: id dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: source dtype: string splits: - name: train num_bytes: 94044570 num_examples: 31914 download_size: 39633989 dataset_size: 94044570 configs: - config_name: default data_files: - split: train path: data/train-* ---
ljnlonoljpiljm/stockimage-1.5M-scored-high-similarity
ljnlonoljpiljm
2025-06-04T03:34:35Z
0
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T02:50:26Z
null
--- dataset_info: features: - name: id dtype: string - name: image dtype: image - name: text dtype: string - name: similarity dtype: float64 splits: - name: train num_bytes: 22490818813.355957 num_examples: 575394 download_size: 22354991127 dataset_size: 22490818813.355957 configs: - config_name: default data_files: - split: train path: data/train-* ---
CohenQu/RLAD-joint.00.00
CohenQu
2025-06-04T03:29:08Z
0
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T03:23:27Z
null
--- dataset_info: features: - name: messages list: - name: content dtype: string - name: role dtype: string - name: suffix dtype: string splits: - name: train num_bytes: 5032369426 num_examples: 102312 - name: test num_bytes: 560289342 num_examples: 11392 download_size: 1524300867 dataset_size: 5592658768 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
zhang0jhon/Aesthetic-Train-V2
zhang0jhon
2025-06-04T03:27:33Z
2
1
[ "license:mit", "size_categories:10K<n<100K", "format:webdataset", "modality:image", "modality:text", "library:datasets", "library:webdataset", "library:mlcroissant", "arxiv:2503.18352", "arxiv:2506.01331", "region:us" ]
[]
2025-06-03T05:23:20Z
null
--- license: mit --- # Aesthetic-Train-V2 Dataset We introduce Aesthetic-Train-V2, a high-quality traing set for ultra-high-resolution image generation. For more details, please refer to our paper: * [Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models](https://arxiv.org/abs/2503.18352) (CVPR 2025) * [Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation](https://arxiv.org/abs/2506.01331) * Source code is available at [https://github.com/zhang0jhon/diffusion-4k](https://github.com/zhang0jhon/diffusion-4k). ## Citation If you find our paper or dataset is helpful in your research or applications, generously cite with: ``` @inproceedings{zhang2025diffusion4k, title={Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models}, author={Zhang, Jinjin and Huang, Qiuyu and Liu, Junjie and Guo, Xiefan and Huang, Di}, year={2025}, booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, } @misc{zhang2025ultrahighresolutionimagesynthesis, title={Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation}, author={Zhang, Jinjin and Huang, Qiuyu and Liu, Junjie and Guo, Xiefan and Huang, Di}, year={2025}, note={arXiv:2506.01331}, } ```
gbennani/RAG_wiki_corpus
gbennani
2025-06-04T03:13:32Z
0
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T03:13:19Z
null
--- dataset_info: features: - name: text dtype: string - name: page_title dtype: string - name: source dtype: string splits: - name: train num_bytes: 251283752 num_examples: 118092 download_size: 123094150 dataset_size: 251283752 configs: - config_name: default data_files: - split: train path: data/train-* ---
yangfengzzz/so101_test50
yangfengzzz
2025-06-04T03:12:03Z
0
0
[ "task_categories:robotics", "license:apache-2.0", "size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:timeseries", "modality:video", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us", "LeRobot", "so101", "tutorial" ]
[ "robotics" ]
2025-06-04T03:04:41Z
null
--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - so101 - tutorial configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.1", "robot_type": "so101", "total_episodes": 50, "total_frames": 43427, "total_tasks": 1, "total_videos": 100, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:50" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.images.laptop": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "observation.images.phone": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```
anirudhb11/star-graph-deg-8-path-3-nodes-300
anirudhb11
2025-06-04T03:04:14Z
0
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T03:04:11Z
null
--- dataset_info: features: - name: graph dtype: string - name: source dtype: string - name: destination dtype: string - name: path dtype: string splits: - name: train num_bytes: 29282953 num_examples: 200000 - name: test num_bytes: 2928440 num_examples: 20000 download_size: 21122777 dataset_size: 32211393 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
smirki/postview-commons
smirki
2025-06-04T02:58:48Z
0
0
[ "license:fair-noncommercial-research-license", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T02:58:25Z
null
--- license: fair-noncommercial-research-license ---
ztony0712/motion_prediction
ztony0712
2025-06-04T02:52:29Z
54
0
[ "language:en", "license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-05-15T06:15:07Z
null
--- dataset_info: features: - name: Name dtype: string - name: Scenario dtype: image - name: Rating dtype: float64 - name: Deviation dtype: float64 - name: Percentile dtype: float64 splits: - name: val num_bytes: 647194235.422 num_examples: 4409 download_size: 707151942 dataset_size: 647194235.422 configs: - config_name: default data_files: - split: val path: data/train-* license: apache-2.0 language: - en pretty_name: Motion Prediction size_categories: - 1K<n<10K --- # Visualization of Motion Prediction Task Cases Samples Check dataset samples visualization by viewing Dataset Viewer. The sampling procedure is guided by the Elo distribution introduced in our method. Original dataset is validation split of Waymo Open Motion Dataset (WOMD). samples/origin: 4409/ 44097 # License This repository is licensed under the Apache License 2.0
ChavyvAkvar/synthetic-trades-BNB-batch-27
ChavyvAkvar
2025-06-04T02:30:04Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T02:28:46Z
null
--- dataset_info: features: - name: scenario_id dtype: string - name: final_pnl_ratio dtype: float64 - name: max_drawdown dtype: float64 - name: total_trades dtype: int64 - name: synthetic_ohlc_open sequence: float64 - name: synthetic_ohlc_high sequence: float64 - name: synthetic_ohlc_low sequence: float64 - name: synthetic_ohlc_close sequence: float64 - name: garch_params_used_for_sim_str dtype: string - name: strategy_params_str dtype: string - name: strategy_exit_rules_str dtype: string splits: - name: train num_bytes: 923450340 num_examples: 1000 download_size: 924490395 dataset_size: 923450340 configs: - config_name: default data_files: - split: train path: data/train-* ---
sysuyy/ImgEdit_recap_mask
sysuyy
2025-06-04T02:22:10Z
1,649
0
[ "license:mit", "arxiv:2505.20275", "region:us" ]
[]
2025-05-25T02:47:41Z
null
--- license: mit --- [ImgEdit: A Unified Image Editing Dataset and Benchmark](https://huggingface.co/papers/2505.20275) # 🌍 Introduction **ImgEdit** is a large-scale, high-quality image-editing dataset comprising 1.2 million carefully curated edit pairs, which contain both novel and complex single-turn edits, as well as challenging multi-turn tasks. To ensure the data quality, we employ a multi-stage pipeline that integrates a cutting-edge vision-language model, a detection model, a segmentation model, alongside task-specific in-painting procedures and strict post-processing. ImgEdit surpasses existing datasets in both task novelty and data quality. Using ImgEdit, we train **ImgEdit-E1**, an editing model using Vision Language Model to process the reference image and editing prompt, which outperforms existing open-source models on multiple tasks, highlighting the value of ImgEdit and model design. For comprehensive evaluation, we introduce **ImgEdit-Bench**, a benchmark designed to evaluate image editing performance in terms of instruction adherence, editing quality, and detail preservation. It includes a basic testsuite, a challenging single-turn suite, and a dedicated multi-turn suite. We evaluate both open-source and proprietary models, as well as ImgEdit-E1. # 📜 Citation If you find our paper and code useful in your research, please consider giving a star ⭐ and citation 📝. ```bibtex @article{ye2025imgedit, title={ImgEdit: A Unified Image Editing Dataset and Benchmark}, author={Ye, Yang and He, Xianyi and Li, Zongjian and Lin, Bin and Yuan, Shenghai and Yan, Zhiyuan and Hou, Bohan and Yuan, Li}, journal={arXiv preprint arXiv:2505.20275}, year={2025} } ```
yakupc55/gemma3b-smart-windows
yakupc55
2025-06-04T01:48:58Z
0
0
[ "language:tr", "language:en", "license:apache-2.0", "size_categories:n<1K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T01:21:13Z
null
--- license: apache-2.0 language: - tr - en ---
Gen-Verse/LiveBench
Gen-Verse
2025-06-04T01:46:08Z
20
0
[ "license:mit", "size_categories:n<1K", "format:json", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "arxiv:2506.03136", "arxiv:2406.19314", "region:us" ]
[]
2025-05-21T01:01:28Z
null
--- license: mit --- We use Stdio input/output format here. For example, for the task to calculate the sum of a list, the input and output are in the following format: ```python input = "5\n1 2 3 4 5\n" output = "15" ``` CodeContests and CodeForces are using this format, however, MBPP and part of LiveCodeBench are using functional input/output format, such like ```python assert sum_function([1, 2, 3, 4, 5]) == 15 ``` In this project, we have converted the the functional format to the Stdio format to achieve consistency. [Paper](https://arxiv.org/abs/2506.03136) | [Code](https://github.com/Gen-Verse/CURE) # Citation ``` @article{wang2025cure, title={Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning}, author={Wang, Yinjie and Yang, Ling and Tian, Ye and Shen, Ke and Wang, Mengdi}, journal={arXiv preprint arXiv:2506.03136}, year={2025} } @article{white2024livebench, title={Livebench: A challenging, contamination-free llm benchmark}, author={White, Colin and Dooley, Samuel and Roberts, Manley and Pal, Arka and Feuer, Ben and Jain, Siddhartha and Shwartz-Ziv, Ravid and Jain, Neel and Saifullah, Khalid and Naidu, Siddartha and others}, journal={arXiv preprint arXiv:2406.19314}, year={2024} } ```
songtingyu/vf-eval
songtingyu
2025-06-04T01:42:39Z
39
0
[ "task_categories:video-text-to-text", "task_categories:visual-question-answering", "license:mit", "size_categories:1K<n<10K", "modality:video", "arxiv:2505.23693", "region:us" ]
[ "video-text-to-text", "visual-question-answering" ]
2025-05-28T09:46:31Z
null
--- license: mit task_categories: - video-text-to-text - visual-question-answering size_categories: - 1K<n<10K configs: - config_name: val data_files: - split: yesno path: "yesno/yesno_val.json" - split: multichoice path: "multi/multi_val.json" - split: openend path: "openend/openend_val.json" - config_name: test data_files: - split: yesno path: "yesno/yesno_test.json" - split: multichoice path: "multi/multi_test.json" - split: openend path: "openend/openend_test.json" - config_name: total default: true data_files: - split: yesno path: "yesno/yesno_final.json" - split: multichoice path: "multi/multi_final.json" - split: openend path: "openend/openend_final.json" --- # Dataset Card for VF-Eval Benchmark Repository: [sighingsnow/vf-eval](https://github.com/SighingSnow/VF-EVAL) For the usage of this dataset, please refer to the github repo. If you find this repository helpful, feel free to cite our paper: ```bibtex @misc{song2025vfeval, title={VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos}, author={Tingyu Song and Tongyan Hu and Guo Gan and Yilun Zhao}, year={2025}, eprint={2505.23693}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2505.23693}, } ```
OpenSound/CapSpeech-PT-SEDB-HQ
OpenSound
2025-06-04T01:40:28Z
2
0
[ "license:cc-by-nc-4.0", "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "arxiv:2506.02863", "region:us" ]
[]
2025-04-16T14:37:30Z
null
--- dataset_info: features: - name: audio_path dtype: string - name: text dtype: string - name: source dtype: string - name: speech_duration dtype: float32 - name: pitch dtype: string - name: age dtype: string - name: gender dtype: string - name: speaking_rate dtype: string - name: speech_monotony dtype: string - name: caption dtype: string - name: intrinsic_tags sequence: string - name: situational_tags sequence: string - name: basic_tags sequence: string - name: all_tags sequence: string - name: accent dtype: string - name: noise dtype: string splits: - name: train num_bytes: 109032022 num_examples: 187108 - name: val num_bytes: 3215156 num_examples: 5599 - name: test num_bytes: 2928694 num_examples: 5068 download_size: 38045103 dataset_size: 115175872 configs: - config_name: default data_files: - split: train path: data/train-* - split: val path: data/val-* - split: test path: data/test-* license: cc-by-nc-4.0 --- # CapSpeech-PT-SEDB-HQ Pretraining dataset used for the paper: ***CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech*** This dataset is a high-quality subset of the original **CapSpeech-PT-SEDB**, by using clean sources FSDKaggle2018 and ESC-50, used for the CapTTS-SE task. Please refer to [CapSpeech](https://huggingface.co/datasets/OpenSound/CapSpeech) for the whole dataset. ## Overview 🔥 CapSpeech is a new benchmark designed for style-captioned TTS (**CapTTS**) tasks, including style-captioned text-to-speech synthesis with sound effects (**CapTTS-SE**), accent-captioned TTS (**AccCapTTS**), emotion-captioned TTS (**EmoCapTTS**) and text-to-speech synthesis for chat agent (**AgentTTS**). CapSpeech comprises over **10 million machine-annotated** audio-caption pairs and nearly **0.36 million human-annotated** audio-caption pairs. **3 new speech datasets** are specifically designed for the CapTTS-SE and AgentTTS tasks to enhance the benchmark’s coverage of real-world scenarios. ![Overview](https://raw.githubusercontent.com/WangHelin1997/CapSpeech-demo/main/static/images/present.jpg) ## License ⚠️ All resources are under the [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) license. ## Citation If you use this dataset, the models or the repository, please cite our work as follows: ```bibtex @misc{wang2025capspeechenablingdownstreamapplications, title={CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech}, author={Helin Wang and Jiarui Hai and Dading Chong and Karan Thakkar and Tiantian Feng and Dongchao Yang and Junhyeok Lee and Laureano Moro Velazquez and Jesus Villalba and Zengyi Qin and Shrikanth Narayanan and Mounya Elhiali and Najim Dehak}, year={2025}, eprint={2506.02863}, archivePrefix={arXiv}, primaryClass={eess.AS}, url={https://arxiv.org/abs/2506.02863}, } ```
deariejheng/example_dataset
deariejheng
2025-06-04T01:39:59Z
0
0
[ "task_categories:robotics", "region:us", "phosphobot", "so100", "phospho-dk" ]
[ "robotics" ]
2025-06-04T01:39:56Z
null
--- tags: - phosphobot - so100 - phospho-dk task_categories: - robotics --- # example_dataset **This dataset was generated using a [phospho starter pack](https://robots.phospho.ai).** This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.
DonJoey/extract_mix_reasoning_balance_dir_par_seq_role_playing
DonJoey
2025-06-04T01:38:54Z
0
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T01:38:36Z
null
--- dataset_info: features: - name: id dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: source dtype: string splits: - name: train num_bytes: 289968608 num_examples: 31914 download_size: 130355450 dataset_size: 289968608 configs: - config_name: default data_files: - split: train path: data/train-* ---
polygraf-ai/Mixture-of-Thoughts-science-eval-chunked
polygraf-ai
2025-06-04T01:37:20Z
0
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T01:36:50Z
null
--- dataset_info: features: - name: num_tokens dtype: int64 - name: id dtype: int64 - name: text dtype: string - name: label dtype: string - name: chunk_word_count dtype: int64 splits: - name: train num_bytes: 1599763868 num_examples: 864321 download_size: 680828895 dataset_size: 1599763868 configs: - config_name: default data_files: - split: train path: data/train-* ---
mmqm/m196k-v2-dedup
mmqm
2025-06-04T01:36:30Z
0
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T01:36:12Z
null
--- dataset_info: features: - name: question dtype: string - name: options dtype: string - name: answer_idx dtype: int64 - name: source dtype: string - name: metadata dtype: string - name: prompt dtype: string - name: answer_letter dtype: string - name: answer_string dtype: string splits: - name: train num_bytes: 266550174.54691163 num_examples: 192524 download_size: 150654973 dataset_size: 266550174.54691163 configs: - config_name: default data_files: - split: train path: data/train-* ---
marianeft/handwritten_name_ocr_dataset
marianeft
2025-06-04T01:36:05Z
42
0
[ "license:apache-2.0", "region:us" ]
[]
2025-06-04T01:36:05Z
null
--- license: apache-2.0 ---
fixie-ai/switchboard-eval-messages
fixie-ai
2025-06-04T01:34:48Z
0
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T01:34:43Z
null
--- dataset_info: features: - name: audio struct: - name: array sequence: float64 - name: path dtype: string - name: sampling_rate dtype: int64 - name: sampling_rate dtype: int64 - name: transcript dtype: string - name: end_of_turn dtype: bool - name: messages list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 164249200 num_examples: 219 download_size: 32714190 dataset_size: 164249200 configs: - config_name: default data_files: - split: train path: data/train-* ---
fixie-ai/endpointing-synthetic
fixie-ai
2025-06-04T01:31:31Z
0
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T01:31:28Z
null
--- dataset_info: features: - name: previous_turn dtype: string - name: current_turn dtype: string - name: natural_stop dtype: bool - name: confidence_rating dtype: int64 - name: ambiguous dtype: bool - name: messages list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 98207962 num_examples: 255294 - name: test num_bytes: 2013447 num_examples: 5205 download_size: 17240126 dataset_size: 100221409 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
mmqm/m196k-v2
mmqm
2025-06-04T01:31:12Z
0
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T01:20:03Z
null
--- dataset_info: features: - name: question dtype: string - name: options dtype: string - name: answer_idx dtype: int64 - name: source dtype: string - name: metadata dtype: string - name: prompt dtype: string - name: answer_letter dtype: string - name: answer_string dtype: string splits: - name: train num_bytes: 272272328 num_examples: 196657 download_size: 153708159 dataset_size: 272272328 configs: - config_name: default data_files: - split: train path: data/train-* ---
ChavyvAkvar/synthetic-trades-BNB-batch-24
ChavyvAkvar
2025-06-04T01:17:41Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T01:16:43Z
null
--- dataset_info: features: - name: scenario_id dtype: string - name: final_pnl_ratio dtype: float64 - name: max_drawdown dtype: float64 - name: total_trades dtype: int64 - name: synthetic_ohlc_open sequence: float64 - name: synthetic_ohlc_high sequence: float64 - name: synthetic_ohlc_low sequence: float64 - name: synthetic_ohlc_close sequence: float64 - name: garch_params_used_for_sim_str dtype: string - name: strategy_params_str dtype: string - name: strategy_exit_rules_str dtype: string splits: - name: train num_bytes: 923451055 num_examples: 1000 download_size: 924492083 dataset_size: 923451055 configs: - config_name: default data_files: - split: train path: data/train-* ---
ewrfcas/MVGenMaster
ewrfcas
2025-06-04T01:15:56Z
0
0
[ "license:apache-2.0", "region:us" ]
[]
2025-06-03T08:49:42Z
null
--- license: apache-2.0 ---
EvoGym/robots-with-policies
EvoGym
2025-06-04T01:10:33Z
0
0
[ "task_categories:robotics", "license:cc-by-nc-4.0", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "arxiv:2201.09863", "region:us", "robotics", "soft-robotics", "voxel-robots", "reinforcement learning" ]
[ "robotics" ]
2025-06-04T00:50:23Z
null
--- dataset_info: features: - name: uid dtype: string - name: body sequence: sequence: int64 - name: connections sequence: sequence: int64 - name: reward dtype: float64 - name: env_name dtype: string - name: generated_by dtype: string - name: policy_blob dtype: binary splits: - name: train num_bytes: 203871816 num_examples: 2553 download_size: 201084330 dataset_size: 203871816 configs: - config_name: default data_files: - split: train path: data/train-* license: cc-by-nc-4.0 task_categories: - robotics tags: - robotics - soft-robotics - voxel-robots - reinforcement learning size_categories: - 1K<n<10K --- Evolution Gym is a large-scale benchmark for co-optimizing the design and control of soft robots. It provides a lightweight soft-body simulator wrapped with a gym-like interface for developing learning algorithms. EvoGym also includes a suite of 32 locomotion and manipulation tasks, detailed on our [website](https://evolutiongym.github.io/all-tasks). Task suite evaluations are described in our [NeurIPS 2021 paper](https://arxiv.org/pdf/2201.09863). <img src="https://github.com/EvolutionGym/evogym/raw/main/images/teaser-low-res.gif" alt="teaser" style="width: 50%; display: block; margin: auto;" /> In this dataset, we open-source 2.5k+ annotated robot structures and policies from the EvoGym paper. The fields of each robot in the dataset are as follows: - `uid` *(str)*: Unique identifier for the robot [[1]](#note1) - `body` *(int64 np.ndarray)*: 2D array indicating the voxels that make up the robot - `connections` *(int64 np.ndarray)*: 2D array indicating how the robot's voxels are connected. In this dataset, all robots are fully-connected, meaning that all adjacent voxels are connected. - `reward` *(float)*: reward achieved by the robot's policy [[2]](#note2) - `env_name` *(str)*: Name of the EvoGym environment (task) the robot was trained on - `generated_by` *("Genetic Algorithm" | "Bayesian Optimization" | "CPPN-NEAT")*: Algorithm used to generate the robot - `policy_blob` *(binary)*: Serialized policy for the robot <span id="note1">[1]</span> This dataset is a subset of [EvoGym/robots](https://huggingface.co/datasets/EvoGym/robots) <span id="note2">[2]</span> Rewards may not exactly match those in [EvoGym/robots](https://huggingface.co/datasets/EvoGym/robots), due to changes in the library, system architecture, etc. If you find this dataset helpful to your research, please cite our paper: ``` @article{bhatia2021evolution, title={Evolution gym: A large-scale benchmark for evolving soft robots}, author={Bhatia, Jagdeep and Jackson, Holly and Tian, Yunsheng and Xu, Jie and Matusik, Wojciech}, journal={Advances in Neural Information Processing Systems}, volume={34}, year={2021} } ```
ChavyvAkvar/synthetic-trades-BNB-batch-23
ChavyvAkvar
2025-06-04T00:56:23Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T00:55:28Z
null
--- dataset_info: features: - name: scenario_id dtype: string - name: final_pnl_ratio dtype: float64 - name: max_drawdown dtype: float64 - name: total_trades dtype: int64 - name: synthetic_ohlc_open sequence: float64 - name: synthetic_ohlc_high sequence: float64 - name: synthetic_ohlc_low sequence: float64 - name: synthetic_ohlc_close sequence: float64 - name: garch_params_used_for_sim_str dtype: string - name: strategy_params_str dtype: string - name: strategy_exit_rules_str dtype: string splits: - name: train num_bytes: 923450388 num_examples: 1000 download_size: 924509671 dataset_size: 923450388 configs: - config_name: default data_files: - split: train path: data/train-* ---
zijian2022/vis3
zijian2022
2025-06-04T00:49:32Z
0
0
[ "task_categories:robotics", "license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:timeseries", "modality:video", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us", "LeRobot", "so100", "tutorial" ]
[ "robotics" ]
2025-06-03T23:15:25Z
null
--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - so100 - tutorial configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.1", "robot_type": "so100", "total_episodes": 20, "total_frames": 4775, "total_tasks": 1, "total_videos": 40, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:20" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.images.laptop": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.phone": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```
krezaei/RESTOR-facts
krezaei
2025-06-04T00:49:06Z
15
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "arxiv:2411.00204", "region:us" ]
[]
2025-06-02T19:50:08Z
null
--- dataset_info: features: - name: entity dtype: string - name: property dtype: string - name: question dtype: string - name: answers sequence: string splits: - name: train num_bytes: 586887 num_examples: 5269 download_size: 193642 dataset_size: 586887 configs: - config_name: default data_files: - split: train path: data/train-* --- ## Citation If you use this dataset, please cite: **RESTOR: Knowledge Recovery in Machine Unlearning** Keivan Rezaei, Khyathi Chandu, Soheil Feizi, Yejin Choi, Faeze Brahman, Abhilasha Ravichander [https://arxiv.org/abs/2411.00204](https://arxiv.org/abs/2411.00204) github repo: https://github.com/k1rezaei/restor
rippleripple/iReason
rippleripple
2025-06-04T00:36:22Z
9
0
[ "license:mit", "size_categories:n<1K", "format:imagefolder", "modality:image", "modality:text", "library:datasets", "library:mlcroissant", "arxiv:2506.00258", "region:us" ]
[]
2025-06-03T03:52:50Z
null
--- license: mit --- Paper: Hidden in Plain Sight: Probing Implicit Reasoning in Multimodal Language Models Paper: https://arxiv.org/abs/2506.00258 Website: https://jackie-2000.github.io/iReason.github.io/ iReason: Designed to probe MLLMs’ implicit reasoning by evaluating their ability to detect subtle flaws in seemingly valid instructions. Covers 643 real-world scenarios spanning four failure types—object absence, ambiguity, contradiction, and infeasibility—challenging models to surface issues that are “hidden in plain sight” without explicit cues. For more detailed instructions on inference, please refer to our GitHub repo.
ChavyvAkvar/synthetic-trades-XRP-batch-49
ChavyvAkvar
2025-06-04T00:34:06Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T00:33:04Z
null
--- dataset_info: features: - name: scenario_id dtype: string - name: final_pnl_ratio dtype: float64 - name: max_drawdown dtype: float64 - name: total_trades dtype: int64 - name: synthetic_ohlc_open sequence: float64 - name: synthetic_ohlc_high sequence: float64 - name: synthetic_ohlc_low sequence: float64 - name: synthetic_ohlc_close sequence: float64 - name: garch_params_used_for_sim_str dtype: string - name: strategy_params_str dtype: string - name: strategy_exit_rules_str dtype: string splits: - name: train num_bytes: 923448022 num_examples: 1000 download_size: 924491078 dataset_size: 923448022 configs: - config_name: default data_files: - split: train path: data/train-* ---
271754echo/MC2
271754echo
2025-06-04T00:27:53Z
44
0
[ "task_categories:image-text-to-text", "license:cc-by-4.0", "arxiv:2505.20977", "region:us" ]
[ "image-text-to-text" ]
2025-05-27T06:25:25Z
null
--- license: cc-by-4.0 task_categories: - image-text-to-text --- # MC<sup>2</sup> Benchmark for Evaluating and Steering Modality Preferences in Multimodal Large Language Models This repository contains the MC<sup>2</sup> benchmark dataset for evaluating modality preference in Multimodal Large Language Models (MLLMs). The benchmark focuses on scenarios with conflicting multimodal evidence, allowing for systematic evaluation of an MLLM's tendency to favor one modality over another. The dataset is described in the paper [Evaluating and Steering Modality Preferences in Multimodal Large Language Model](https://huggingface.co/papers/2505.20977). The complete data of MC<sup>2</sup> can be found in [**🤗Huggingface**](https://huggingface.co/271754echo/MC2)
patcdaniel/phytoplankton-test-dataset
patcdaniel
2025-06-04T00:22:40Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-03T23:54:49Z
null
--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': Akashiwo '1': Alexandrium '2': Asterionellopsis '3': Ceratium '4': Ceratium_furca '5': Dinophysis '6': Eucampia '7': Laboea '8': Prorocentrum_narrow '9': Stombidinium_morpho_1 - name: label_name dtype: string splits: - name: train num_bytes: 193521750.746 num_examples: 8554 download_size: 185721979 dataset_size: 193521750.746 configs: - config_name: default data_files: - split: train path: data/train-* ---
willcb/V3-arc_1d
willcb
2025-06-04T00:03:07Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-04T00:03:04Z
null
--- dataset_info: features: - name: prompt list: - name: content dtype: string - name: role dtype: string - name: completion list: - name: content dtype: string - name: role dtype: string - name: answer dtype: int64 - name: reward dtype: float64 - name: task dtype: string splits: - name: train num_bytes: 4284209.5 num_examples: 1000 download_size: 957930 dataset_size: 4284209.5 configs: - config_name: default data_files: - split: train path: data/train-* ---
ChavyvAkvar/synthetic-trades-XRP-batch-46
ChavyvAkvar
2025-06-03T23:56:38Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-03T23:55:33Z
null
--- dataset_info: features: - name: scenario_id dtype: string - name: final_pnl_ratio dtype: float64 - name: max_drawdown dtype: float64 - name: total_trades dtype: int64 - name: synthetic_ohlc_open sequence: float64 - name: synthetic_ohlc_high sequence: float64 - name: synthetic_ohlc_low sequence: float64 - name: synthetic_ohlc_close sequence: float64 - name: garch_params_used_for_sim_str dtype: string - name: strategy_params_str dtype: string - name: strategy_exit_rules_str dtype: string splits: - name: train num_bytes: 923447684 num_examples: 1000 download_size: 924462293 dataset_size: 923447684 configs: - config_name: default data_files: - split: train path: data/train-* ---
Aravindh25/trossen_pick_bin_clothes_3cam_V99
Aravindh25
2025-06-03T23:48:38Z
0
0
[ "task_categories:robotics", "license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:timeseries", "modality:video", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us", "LeRobot", "tutorial" ]
[ "robotics" ]
2025-06-03T23:25:09Z
null
--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - tutorial configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.1", "robot_type": "trossen_ai_stationary", "total_episodes": 1, "total_frames": 964, "total_tasks": 1, "total_videos": 3, "total_chunks": 1, "chunks_size": 1000, "fps": 20, "splits": { "train": "0:1" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 14 ], "names": [ "left_joint_0", "left_joint_1", "left_joint_2", "left_joint_3", "left_joint_4", "left_joint_5", "left_joint_6", "right_joint_0", "right_joint_1", "right_joint_2", "right_joint_3", "right_joint_4", "right_joint_5", "right_joint_6" ] }, "observation.state": { "dtype": "float32", "shape": [ 14 ], "names": [ "left_joint_0", "left_joint_1", "left_joint_2", "left_joint_3", "left_joint_4", "left_joint_5", "left_joint_6", "right_joint_0", "right_joint_1", "right_joint_2", "right_joint_3", "right_joint_4", "right_joint_5", "right_joint_6" ] }, "observation.images.cam_high": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 20.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "h264", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.cam_left_wrist": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 20.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "h264", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.cam_right_wrist": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 20.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "h264", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```
ChavyvAkvar/synthetic-trades-XRP-batch-44
ChavyvAkvar
2025-06-03T23:30:44Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-03T23:29:41Z
null
--- dataset_info: features: - name: scenario_id dtype: string - name: final_pnl_ratio dtype: float64 - name: max_drawdown dtype: float64 - name: total_trades dtype: int64 - name: synthetic_ohlc_open sequence: float64 - name: synthetic_ohlc_high sequence: float64 - name: synthetic_ohlc_low sequence: float64 - name: synthetic_ohlc_close sequence: float64 - name: garch_params_used_for_sim_str dtype: string - name: strategy_params_str dtype: string - name: strategy_exit_rules_str dtype: string splits: - name: train num_bytes: 923448151 num_examples: 1000 download_size: 924491649 dataset_size: 923448151 configs: - config_name: default data_files: - split: train path: data/train-* ---
if001/bunpo_phi4_ctx_3
if001
2025-06-03T23:27:36Z
8
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-03T06:58:38Z
null
--- dataset_info: features: - name: text dtype: string - name: pattern dtype: int64 - name: base_text dtype: int64 splits: - name: train num_bytes: 3507244 num_examples: 11717 download_size: 1681211 dataset_size: 3507244 configs: - config_name: default data_files: - split: train path: data/train-* ---
AHS-uni/mpdocvqa-qa-sample
AHS-uni
2025-06-03T23:27:06Z
0
0
[ "region:us" ]
[]
2025-06-03T23:26:58Z
null
--- dataset_info: features: - name: id dtype: string - name: question struct: - name: id dtype: string - name: text dtype: string - name: type dtype: class_label: names: '0': extractive '1': verification '2': counting '3': arithmetic '4': abstractive '5': procedural '6': reasoning '7': other - name: tags list: - name: name dtype: class_label: names: '0': missing '1': low_quality '2': inferred '3': predicted - name: target dtype: string - name: comment dtype: string - name: document struct: - name: id dtype: string - name: type dtype: class_label: names: '0': legal '1': financial '2': scientific '3': technical '4': policy '5': correspondence '6': marketing '7': personal_record '8': news '9': other - name: count_pages dtype: int32 - name: tags list: - name: name dtype: class_label: names: '0': missing '1': low_quality '2': inferred '3': predicted - name: target dtype: string - name: comment dtype: string - name: evidence struct: - name: pages sequence: int32 - name: sources sequence: class_label: names: '0': span '1': table '2': chart '3': image '4': layout '5': none '6': other - name: tags list: - name: name dtype: class_label: names: '0': missing '1': low_quality '2': inferred '3': predicted - name: target dtype: string - name: comment dtype: string - name: answer struct: - name: type dtype: class_label: names: '0': answerable '1': not_answerable '2': none - name: variants sequence: string - name: rationale dtype: string - name: format dtype: class_label: names: '0': string '1': reference '2': integer '3': float '4': boolean '5': list '6': datetime '7': other '8': none - name: tags list: - name: name dtype: class_label: names: '0': missing '1': low_quality '2': inferred '3': predicted - name: target dtype: string - name: comment dtype: string - name: tags list: - name: name dtype: class_label: names: '0': missing '1': low_quality '2': inferred '3': predicted - name: target dtype: string - name: comment dtype: string splits: - name: train num_bytes: 29472 num_examples: 50 - name: val num_bytes: 566 num_examples: 1 - name: test num_bytes: 5472 num_examples: 11 download_size: 50820 dataset_size: 35510 configs: - config_name: default data_files: - split: train path: data/train-* - split: val path: data/val-* - split: test path: data/test-* ---
AHS-uni/mmlongbenchdoc-corpus-sample
AHS-uni
2025-06-03T23:26:22Z
0
0
[ "size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-03T23:17:18Z
null
--- dataset_info: features: - name: document_id dtype: string - name: page_number dtype: int32 - name: image dtype: image splits: - name: train num_bytes: 670948407.0 num_examples: 621 download_size: 616133433 dataset_size: 670948407.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
ChavyvAkvar/synthetic-trades-BNB-batch-19
ChavyvAkvar
2025-06-03T23:18:41Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-03T23:17:37Z
null
--- dataset_info: features: - name: scenario_id dtype: string - name: final_pnl_ratio dtype: float64 - name: max_drawdown dtype: float64 - name: total_trades dtype: int64 - name: synthetic_ohlc_open sequence: float64 - name: synthetic_ohlc_high sequence: float64 - name: synthetic_ohlc_low sequence: float64 - name: synthetic_ohlc_close sequence: float64 - name: garch_params_used_for_sim_str dtype: string - name: strategy_params_str dtype: string - name: strategy_exit_rules_str dtype: string splits: - name: train num_bytes: 923449963 num_examples: 1000 download_size: 924490232 dataset_size: 923449963 configs: - config_name: default data_files: - split: train path: data/train-* ---
AHS-uni/dude-qa-sample
AHS-uni
2025-06-03T23:17:16Z
0
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-03T23:17:09Z
null
--- dataset_info: features: - name: id dtype: string - name: question struct: - name: id dtype: string - name: text dtype: string - name: type dtype: class_label: names: '0': extractive '1': verification '2': counting '3': arithmetic '4': abstractive '5': procedural '6': reasoning '7': other - name: tags list: - name: name dtype: class_label: names: '0': missing '1': low_quality '2': inferred '3': predicted - name: target dtype: string - name: comment dtype: string - name: document struct: - name: id dtype: string - name: type dtype: class_label: names: '0': legal '1': financial '2': scientific '3': technical '4': policy '5': correspondence '6': marketing '7': personal_record '8': news '9': other - name: count_pages dtype: int32 - name: tags list: - name: name dtype: class_label: names: '0': missing '1': low_quality '2': inferred '3': predicted - name: target dtype: string - name: comment dtype: string - name: evidence struct: - name: pages sequence: int32 - name: sources sequence: class_label: names: '0': span '1': table '2': chart '3': image '4': layout '5': none '6': other - name: tags list: - name: name dtype: class_label: names: '0': missing '1': low_quality '2': inferred '3': predicted - name: target dtype: string - name: comment dtype: string - name: answer struct: - name: type dtype: class_label: names: '0': answerable '1': not_answerable '2': none - name: variants sequence: string - name: rationale dtype: string - name: format dtype: class_label: names: '0': string '1': reference '2': integer '3': float '4': boolean '5': list '6': datetime '7': other '8': none - name: tags list: - name: name dtype: class_label: names: '0': missing '1': low_quality '2': inferred '3': predicted - name: target dtype: string - name: comment dtype: string - name: tags list: - name: name dtype: class_label: names: '0': missing '1': low_quality '2': inferred '3': predicted - name: target dtype: string - name: comment dtype: string splits: - name: train num_bytes: 52913 num_examples: 70 - name: test num_bytes: 4795 num_examples: 7 download_size: 45019 dataset_size: 57708 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
DatologyAI/wikipedia-ar-6k_sample
DatologyAI
2025-06-03T23:11:34Z
0
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-03T23:11:31Z
null
--- dataset_info: features: - name: id dtype: string - name: url dtype: string - name: title dtype: string - name: text dtype: string splits: - name: train num_bytes: 16657761.95516572 num_examples: 6500 download_size: 7832642 dataset_size: 16657761.95516572 configs: - config_name: default data_files: - split: train path: data/train-* ---
TAUR-dev/SIE_EVAL__testing_full_run2__rl__results
TAUR-dev
2025-06-03T23:11:31Z
0
0
[ "size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[]
2025-06-03T23:11:30Z
null
--- dataset_info: features: - name: task dtype: string - name: alias dtype: string - name: exact_match,none dtype: float64 - name: exact_match_stderr,none dtype: string - name: extracted_answers,none dtype: int64 - name: extracted_answers_stderr,none dtype: string splits: - name: train num_bytes: 316 num_examples: 5 download_size: 3022 dataset_size: 316 configs: - config_name: default data_files: - split: train path: data/train-* ---