annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- extractive-qa
- open-domain-qa
paperswithcode_id: quartz
pretty_name: QuaRTz
Dataset Card for "quartz"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
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
Languages
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: astringfeature.question: astringfeature.choices: a dictionary feature containing:text: astringfeature.label: astringfeature.
answerKey: astringfeature.para: astringfeature.para_id: astringfeature.effect_prop: astringfeature.cause_dir_str: astringfeature.effect_dir_str: astringfeature.cause_dir_sign: astringfeature.effect_dir_sign: astringfeature.cause_prop: astringfeature.more_effect_dir: astringfeature.less_effect_dir: astringfeature.less_cause_prop: astringfeature.more_effect_prop: astringfeature.less_effect_prop: astringfeature.less_cause_dir: astringfeature.
Data Splits
| name | train | validation | test |
|---|---|---|---|
| default | 2696 | 384 | 784 |
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
The dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).
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.