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README.md
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---
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license: apache-2.0
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source: https://github.com/KGQA/KGQA-datasets
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---
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complex_web_questions.py
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"""ComplexWebQuestions: A Dataset for Answering Complex Questions that Require Reasoning over Multiple Web Snippets."""
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import json
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import os
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import datasets
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logger = datasets.logging.get_logger(__name__)
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_CITATION = """\
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@inproceedings{Talmor2018TheWA,
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title={The Web as a Knowledge-Base for Answering Complex Questions},
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author={Alon Talmor and Jonathan Berant},
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booktitle={NAACL},
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year={2018}
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}
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"""
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_DESCRIPTION = """\
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ComplexWebQuestions is a dataset for answering complex questions that require reasoning over multiple web snippets. It contains a large set of complex questions in natural language, and can be used in multiple ways: 1) By interacting with a search engine, which is the focus of our paper (Talmor and Berant, 2018); 2) As a reading comprehension task: we release 12,725,989 web snippets that are relevant for the questions, and were collected during the development of our model; 3) As a semantic parsing task: each question is paired with a SPARQL query that can be executed against Freebase to retrieve the answer.
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"""
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_URL = "https://allenai.org/data/complexwebquestions"
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_COMPLEXWEBQUESTIONS_URLS = {
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"train": "https://www.dropbox.com/sh/7pkwkrfnwqhsnpo/AAAIHeWX0cPpbpwK6w06BCxva/ComplexWebQuestions_train.json?dl=1",
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"dev": "https://www.dropbox.com/sh/7pkwkrfnwqhsnpo/AADH8beLbOUWxwvY_K38E3ADa/ComplexWebQuestions_dev.json?dl=1",
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"test": "https://www.dropbox.com/sh/7pkwkrfnwqhsnpo/AABr4ysSy_Tg8Wfxww4i_UWda/ComplexWebQuestions_test.json?dl=1"
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}
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class ComplexWebQuestionsConfig(datasets.BuilderConfig):
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"""BuilderConfig for ComplexWebQuestions"""
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def __init__(self,
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data_url,
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data_dir,
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**kwargs):
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"""BuilderConfig for ComplexWebQuestions.
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Args:
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**kwargs: keyword arguments forwarded to super.
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"""
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super(ComplexWebQuestionsConfig, self).__init__(**kwargs)
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self.data_url = data_url
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self.data_dir = data_dir
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class ComplexWebQuestions(datasets.GeneratorBasedBuilder):
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"""ComplexWebQuestions: A Dataset for Answering Complex Questions that Require Reasoning over Multiple Web Snippets."""
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BUILDER_CONFIGS = [
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ComplexWebQuestionsConfig(
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name="complex_web_questions",
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description="ComplexWebQuestions",
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data_url="",
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data_dir="ComplexWebQuestions"
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),
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ComplexWebQuestionsConfig(
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name="complexwebquestions_test",
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description="ComplexWebQuestions",
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data_url="",
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data_dir="ComplexWebQuestions"
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)
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]
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def _info(self):
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features = datasets.Features(
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{
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"ID": datasets.Value("string"),
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"answers": datasets.features.Sequence(
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datasets.Features(
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{
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"aliases": datasets.features.Sequence(
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datasets.Value("string")
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),
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"answer": datasets.Value("string"),
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"answer_id": datasets.Value("string")
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}
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)
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),
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"composition_answer": datasets.Value("string"),
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"compositionality_type": datasets.Value("string"),
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"created": datasets.Value("string"),
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"machine_question": datasets.Value("string"),
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"question": datasets.Value("string"),
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"sparql": datasets.Value("string"),
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"webqsp_ID": datasets.Value("string"),
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"webqsp_question": datasets.Value("string")
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}
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)
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if self.config.name == "complexwebquestions_test":
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features.pop("answers", None)
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features.pop("composition_answer", None)
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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supervised_keys=None,
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homepage=_URL,
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citation=_CITATION,
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features=features
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)
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def _split_generators(self, dl_manager):
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data_dir = None
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if self.config.name == "complexwebquestions_test":
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complexwebquestions_test_files = dl_manager.download(
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{
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"test": _COMPLEXWEBQUESTIONS_URLS["test"],
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}
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)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"data_file": os.path.join(data_dir or "", complexwebquestions_test_files["test"]),
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"split": "test"
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}
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)
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]
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else:
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complexwebquestions_files = dl_manager.download(
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{
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"train": _COMPLEXWEBQUESTIONS_URLS["train"],
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"dev": _COMPLEXWEBQUESTIONS_URLS["dev"]
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}
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)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"data_file": os.path.join(data_dir or "", complexwebquestions_files["train"]),
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"split": "train"
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}
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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gen_kwargs={
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"data_file": os.path.join(data_dir or "", complexwebquestions_files["dev"]),
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"split": "validation"
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}
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)
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]
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def _generate_examples(self, data_file, **kwargs):
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with open(data_file, encoding="utf8") as f:
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complexwebquestions = json.load(f)
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for idx, question in enumerate(complexwebquestions):
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yield idx, question
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complex_web_questions/complex_web_questions-train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:7065067766733211e6118f8c7ab424cb40ea97bdda0f8e0e12fc282db74fc473
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size 9014668
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complex_web_questions/complex_web_questions-validation.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:ed06aeb3d6f1bf50ece813a85ccb62c0e956e06afe599d30633628e2d155e8dd
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size 967609
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complexwebquestions_test/complex_web_questions-test.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:80ce323e0740a1572d849dd65d2c4047d369e2071cbdd69b8a2d42e27e9bc750
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size 749444
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