metadata
license: apache-2.0
dataset_info:
features:
- name: hypothesis
sequence: string
- name: transcription
dtype: string
- name: score
sequence: float64
- name: source
dtype: string
- name: input1
dtype: string
- name: hypothesis_concatenated
dtype: string
- name: id
dtype: string
- name: am_score
sequence: float64
- name: dummy_str
dtype: string
- name: dummy_list
sequence: 'null'
splits:
- name: train
num_bytes: 114962370
num_examples: 134910
- name: test
num_bytes: 6050078
num_examples: 6965
download_size: 34787652
dataset_size: 121012448
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
Dataset Name: Pilot dataset for Multi-domain ASR corrections
Description
Consolidated from PeacefulData/HyPoradise-v0
Structure
Data Split
- Training Data: 134,910 entries ~= 2,629,297 for transcript and 13,046,800 for hypothesis (LLama2-tokens)
- Test Data: 6,965 entries ~= 131,363 for transcript and 651,099 for hypothesis (LLama2-tokens)
Columns
hypothesis
: N-best hypothesis from beam search.transcription
: Corrected asr transcription.hypothesis_concatenated
: An alternative version of the text output.source
: The source of the text entry, indicating the origin dataset.score
: An acoustic model score (not all entries have this).
Source Distribution
Training Sources:
train_cv
: 47,293 entriestrain_wsj
: 37,514 entriestrain_swbd
: 36,539 entriestrain_chime4
: 9,600 entriestrain_atis
: 3,964 entries
Test Sources:
test_swbd
: 2,000 entriestest_cv
: 2,000 entriestest_chime4
: 1,320 entriestest_wsj
: 836 entriestest_atis
: 809 entries
Access
The dataset can be accessed and downloaded through the HuggingFace Datasets library. Use the following command to load the dataset:
from datasets import load_dataset
dataset = load_dataset("PeacefulData/HyPoradise-pilot")
Acknowledgments
Thanks https://huggingface.co/datasets/PeacefulData/HyPoradise-v0 for sharing this dataset.