Datasets:
Tasks:
Text2Text Generation
Modalities:
Text
Formats:
parquet
Sub-tasks:
open-domain-abstractive-qa
Languages:
English
Size:
100K - 1M
License:
metadata
language:
- en
paperswithcode_id: break
pretty_name: BREAK
Dataset Card for "break_data"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://github.com/allenai/Break
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 76.16 MB
- Size of the generated dataset: 148.34 MB
- Total amount of disk used: 224.49 MB
Dataset Summary
Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations (QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases. This repository contains the Break dataset along with information on the exact data format.
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
QDMR
- Size of downloaded dataset files: 15.23 MB
- Size of the generated dataset: 15.19 MB
- Total amount of disk used: 30.42 MB
An example of 'validation' looks as follows.
{
"decomposition": "return flights ;return #1 from denver ;return #2 to philadelphia ;return #3 if available",
"operators": "['select', 'filter', 'filter', 'filter']",
"question_id": "ATIS_dev_0",
"question_text": "what flights are available tomorrow from denver to philadelphia ",
"split": "dev"
}
QDMR-high-level
- Size of downloaded dataset files: 15.23 MB
- Size of the generated dataset: 6.24 MB
- Total amount of disk used: 21.47 MB
An example of 'train' looks as follows.
{
"decomposition": "return ground transportation ;return #1 which is available ;return #2 from the pittsburgh airport ;return #3 to downtown ;return the cost of #4",
"operators": "['select', 'filter', 'filter', 'filter', 'project']",
"question_id": "ATIS_dev_102",
"question_text": "what ground transportation is available from the pittsburgh airport to downtown and how much does it cost ",
"split": "dev"
}
QDMR-high-level-lexicon
- Size of downloaded dataset files: 15.23 MB
- Size of the generated dataset: 30.17 MB
- Total amount of disk used: 45.40 MB
An example of 'train' looks as follows.
This example was too long and was cropped:
{
"allowed_tokens": "\"['higher than', 'same as', 'what ', 'and ', 'than ', 'at most', 'he', 'distinct', 'House', 'two', 'at least', 'or ', 'date', 'o...",
"source": "What office, also held by a member of the Maine House of Representatives, did James K. Polk hold before he was president?"
}
QDMR-lexicon
- Size of downloaded dataset files: 15.23 MB
- Size of the generated dataset: 73.61 MB
- Total amount of disk used: 88.84 MB
An example of 'validation' looks as follows.
This example was too long and was cropped:
{
"allowed_tokens": "\"['higher than', 'same as', 'what ', 'and ', 'than ', 'at most', 'distinct', 'two', 'at least', 'or ', 'date', 'on ', '@@14@@', ...",
"source": "what flights are available tomorrow from denver to philadelphia "
}
logical-forms
- Size of downloaded dataset files: 15.23 MB
- Size of the generated dataset: 23.13 MB
- Total amount of disk used: 38.36 MB
An example of 'train' looks as follows.
{
"decomposition": "return ground transportation ;return #1 which is available ;return #2 from the pittsburgh airport ;return #3 to downtown ;return the cost of #4",
"operators": "['select', 'filter', 'filter', 'filter', 'project']",
"program": "some program",
"question_id": "ATIS_dev_102",
"question_text": "what ground transportation is available from the pittsburgh airport to downtown and how much does it cost ",
"split": "dev"
}
Data Fields
The data fields are the same among all splits.
QDMR
question_id: astringfeature.question_text: astringfeature.decomposition: astringfeature.operators: astringfeature.split: astringfeature.
QDMR-high-level
question_id: astringfeature.question_text: astringfeature.decomposition: astringfeature.operators: astringfeature.split: astringfeature.
QDMR-high-level-lexicon
source: astringfeature.allowed_tokens: astringfeature.
QDMR-lexicon
source: astringfeature.allowed_tokens: astringfeature.
logical-forms
question_id: astringfeature.question_text: astringfeature.decomposition: astringfeature.operators: astringfeature.split: astringfeature.program: astringfeature.
Data Splits
| name | train | validation | test |
|---|---|---|---|
| QDMR | 44321 | 7760 | 8069 |
| QDMR-high-level | 17503 | 3130 | 3195 |
| QDMR-high-level-lexicon | 17503 | 3130 | 3195 |
| QDMR-lexicon | 44321 | 7760 | 8069 |
| logical-forms | 44098 | 7719 | 8006 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information
@article{Wolfson2020Break,
title={Break It Down: A Question Understanding Benchmark},
author={Wolfson, Tomer and Geva, Mor and Gupta, Ankit and Gardner, Matt and Goldberg, Yoav and Deutch, Daniel and Berant, Jonathan},
journal={Transactions of the Association for Computational Linguistics},
year={2020},
}
Contributions
Thanks to @patrickvonplaten, @lewtun, @thomwolf for adding this dataset.