break_data / README.md
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metadata
annotations_creators:
  - crowdsourced
language_creators:
  - crowdsourced
language:
  - en
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - text2text-generation
task_ids:
  - open-domain-abstractive-qa
paperswithcode_id: break
pretty_name: BREAK
dataset_info:
  - config_name: QDMR-high-level
    features:
      - name: question_id
        dtype: string
      - name: question_text
        dtype: string
      - name: decomposition
        dtype: string
      - name: operators
        dtype: string
      - name: split
        dtype: string
    splits:
      - name: test
        num_bytes: 482339
        num_examples: 3195
      - name: train
        num_bytes: 5148086
        num_examples: 17503
      - name: validation
        num_bytes: 914780
        num_examples: 3130
    download_size: 15971078
    dataset_size: 6545205
  - config_name: QDMR-high-level-lexicon
    features:
      - name: source
        dtype: string
      - name: allowed_tokens
        dtype: string
    splits:
      - name: test
        num_bytes: 4240755
        num_examples: 3195
      - name: train
        num_bytes: 23234518
        num_examples: 17503
      - name: validation
        num_bytes: 4158679
        num_examples: 3130
    download_size: 15971078
    dataset_size: 31633952
  - config_name: QDMR
    features:
      - name: question_id
        dtype: string
      - name: question_text
        dtype: string
      - name: decomposition
        dtype: string
      - name: operators
        dtype: string
      - name: split
        dtype: string
    splits:
      - name: test
        num_bytes: 900632
        num_examples: 8069
      - name: train
        num_bytes: 12790466
        num_examples: 44321
      - name: validation
        num_bytes: 2237472
        num_examples: 7760
    download_size: 15971078
    dataset_size: 15928570
  - config_name: QDMR-lexicon
    features:
      - name: source
        dtype: string
      - name: allowed_tokens
        dtype: string
    splits:
      - name: test
        num_bytes: 10331822
        num_examples: 8069
      - name: train
        num_bytes: 56913064
        num_examples: 44321
      - name: validation
        num_bytes: 9936933
        num_examples: 7760
    download_size: 15971078
    dataset_size: 77181819
  - config_name: logical-forms
    features:
      - name: question_id
        dtype: string
      - name: question_text
        dtype: string
      - name: decomposition
        dtype: string
      - name: operators
        dtype: string
      - name: split
        dtype: string
      - name: program
        dtype: string
    splits:
      - name: test
        num_bytes: 927038
        num_examples: 8006
      - name: train
        num_bytes: 19821676
        num_examples: 44098
      - name: validation
        num_bytes: 3504893
        num_examples: 7719
    download_size: 15971078
    dataset_size: 24253607

Dataset Card for "break_data"

Table of Contents

Dataset Description

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

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

QDMR

  • Size of downloaded dataset files: 15.97 MB
  • Size of the generated dataset: 15.93 MB
  • Total amount of disk used: 31.90 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: 15.97 MB
  • Size of the generated dataset: 6.54 MB
  • Total amount of disk used: 22.51 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: 15.97 MB
  • Size of the generated dataset: 31.64 MB
  • Total amount of disk used: 47.61 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: 15.97 MB
  • Size of the generated dataset: 77.19 MB
  • Total amount of disk used: 93.16 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: 15.97 MB
  • Size of the generated dataset: 24.25 MB
  • Total amount of disk used: 40.22 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: a string feature.
  • question_text: a string feature.
  • decomposition: a string feature.
  • operators: a string feature.
  • split: a string feature.

QDMR-high-level

  • question_id: a string feature.
  • question_text: a string feature.
  • decomposition: a string feature.
  • operators: a string feature.
  • split: a string feature.

QDMR-high-level-lexicon

  • source: a string feature.
  • allowed_tokens: a string feature.

QDMR-lexicon

  • source: a string feature.
  • allowed_tokens: a string feature.

logical-forms

  • question_id: a string feature.
  • question_text: a string feature.
  • decomposition: a string feature.
  • operators: a string feature.
  • split: a string feature.
  • program: a string feature.

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

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

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.