metadata
paperswithcode_id: art-dataset
Dataset Card for "art"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://leaderboard.allenai.org/anli/submissions/get-started
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 4.88 MB
- Size of the generated dataset: 32.77 MB
- Total amount of disk used: 37.65 MB
Dataset Summary
the Abductive Natural Language Inference Dataset from AI2
Supported Tasks and Leaderboards
Languages
Dataset Structure
We show detailed information for up to 5 configurations of the dataset.
Data Instances
anli
- Size of downloaded dataset files: 4.88 MB
- Size of the generated dataset: 32.77 MB
- Total amount of disk used: 37.65 MB
An example of 'train' looks as follows.
{
"hypothesis_1": "Chad's car had all sorts of other problems besides alignment.",
"hypothesis_2": "Chad's car had all sorts of benefits other than being sexy.",
"label": 1,
"observation_1": "Chad went to get the wheel alignment measured on his car.",
"observation_2": "The mechanic provided a working alignment with new body work."
}
Data Fields
The data fields are the same among all splits.
anli
observation_1: astringfeature.observation_2: astringfeature.hypothesis_1: astringfeature.hypothesis_2: astringfeature.label: a classification label, with possible values including0(0),1(1),2(2).
Data Splits
| name | train | validation |
|---|---|---|
| anli | 169654 | 1532 |
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
@InProceedings{anli,
author = "Chandra, Bhagavatula
and Ronan, Le Bras
and Chaitanya, Malaviya
and Keisuke, Sakaguchi
and Ari, Holtzman
and Hannah, Rashkin
and Doug, Downey
and Scott, Wen-tau Yih
and Yejin, Choi",
title = "Abductive Commonsense Reasoning",
year = "2020",
}
Contributions
Thanks to @patrickvonplaten, @thomwolf, @mariamabarham, @lewtun, @lhoestq for adding this dataset.