README.md

metadata

language:
  - en
paperswithcode_id: quartz
pretty_name: QuaRTz Dataset

Dataset Card for "quartz"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • 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
  • Contributions

Dataset Description

• Homepage: https://allenai.org/data/quartz
• Repository: More Information Needed
• Paper: More Information Needed
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 0.47 MB
• Size of the generated dataset: 1.64 MB
• Total amount of disk used: 2.12 MB

Dataset Summary

QuaRTz is a crowdsourced dataset of 3864 multiple-choice questions about open domain qualitative relationships. Each question is paired with one of 405 different background sentences (sometimes short paragraphs). The QuaRTz dataset V1 contains 3864 questions about open domain qualitative relationships. Each question is paired with one of 405 different background sentences (sometimes short paragraphs).

The dataset is split into train (2696), dev (384) and test (784). A background sentence will only appear in a single split.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

default

• Size of downloaded dataset files: 0.47 MB
• Size of the generated dataset: 1.64 MB
• Total amount of disk used: 2.12 MB

An example of 'train' looks as follows.

{
    "answerKey": "A",
    "choices": {
        "label": ["A", "B"],
        "text": ["higher", "lower"]
    },
    "id": "QRQA-10116-3",
    "para": "Electrons at lower energy levels, which are closer to the nucleus, have less energy.",
    "para_anno": {
        "cause_dir_sign": "LESS",
        "cause_dir_str": "closer",
        "cause_prop": "distance from a nucleus",
        "effect_dir_sign": "LESS",
        "effect_dir_str": "less",
        "effect_prop": "energy"
    },
    "para_id": "QRSent-10116",
    "question": "Electrons further away from a nucleus have _____ energy levels than close ones.",
    "question_anno": {
        "less_cause_dir": "electron energy levels",
        "less_cause_prop": "nucleus",
        "less_effect_dir": "lower",
        "less_effect_prop": "electron energy levels",
        "more_effect_dir": "higher",
        "more_effect_prop": "electron energy levels"
    }
}

Data Fields

The data fields are the same among all splits.

default

• id: a string feature.
• question: a string feature.
• choices: a dictionary feature containing:
  • text: a string feature.
  • label: a string feature.
• answerKey: a string feature.
• para: a string feature.
• para_id: a string feature.
• effect_prop: a string feature.
• cause_dir_str: a string feature.
• effect_dir_str: a string feature.
• cause_dir_sign: a string feature.
• effect_dir_sign: a string feature.
• cause_prop: a string feature.
• more_effect_dir: a string feature.
• less_effect_dir: a string feature.
• less_cause_prop: a string feature.
• more_effect_prop: a string feature.
• less_effect_prop: a string feature.
• less_cause_dir: a string feature.

Data Splits

name	train	validation	test
default	2696	384	784

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

@InProceedings{quartz,
  author = {Oyvind Tafjord and Matt Gardner and Kevin Lin and Peter Clark},
  title = {"QUARTZ: An Open-Domain Dataset of Qualitative Relationship
Questions"},

  year = {"2019"},
}

Contributions

Thanks to @patrickvonplaten, @lewtun, @thomwolf for adding this dataset.