
# Dataset Card for "art"

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [https://leaderboard.allenai.org/anli/submissions/get-started](https://leaderboard.allenai.org/anli/submissions/get-started)
- **Repository:** https://github.com/allenai/abductive-commonsense-reasoning
- **Paper:** [Abductive Commonsense Reasoning](https://arxiv.org/abs/1908.05739)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Size of downloaded dataset files:** 5.12 MB
- **Size of the generated dataset:** 34.36 MB
- **Total amount of disk used:** 39.48 MB

### Dataset Summary

ART consists of over 20k commonsense narrative contexts and 200k explanations.

The Abductive Natural Language Inference Dataset from AI2.

### Supported Tasks and Leaderboards

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Languages

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Dataset Structure

### Data Instances

#### anli

- **Size of downloaded dataset files:** 5.12 MB
- **Size of the generated dataset:** 34.36 MB
- **Total amount of disk used:** 39.48 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`: a `string` feature.
- `observation_2`: a `string` feature.
- `hypothesis_1`: a `string` feature.
- `hypothesis_2`: a `string` feature.
- `label`: a classification label, with possible values including `0` (0), `1` (1), `2` (2).

### Data Splits

|name|train |validation|
|----|-----:|---------:|
|anli|169654|      1532|

## Dataset Creation

### Curation Rationale

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Citation Information

```
@inproceedings{Bhagavatula2020Abductive,
  title={Abductive Commonsense Reasoning},
  author={Chandra Bhagavatula and Ronan Le Bras and Chaitanya Malaviya and Keisuke Sakaguchi and Ari Holtzman and Hannah Rashkin and Doug Downey and Wen-tau Yih and Yejin Choi},
  booktitle={International Conference on Learning Representations},
  year={2020},
  url={https://openreview.net/forum?id=Byg1v1HKDB}
}
```

### Contributions

Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf), [@mariamabarham](https://github.com/mariamabarham), [@lewtun](https://github.com/lewtun), [@lhoestq](https://github.com/lhoestq) for adding this dataset.
task_categories:multiple-choice task_categories:text-classification task_ids:natural-language-inference annotations_creators:crowdsourced language_creators:found multilinguality:monolingual size_categories:100K<n<1M source_datasets:original language:en license:unknown abductive-natural-language-inference arxiv:1908.05739 region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["multiple-choice", "text-classification"], "task_ids": ["natural-language-inference"], "paperswithcode_id": "art-dataset", "pretty_name": "Abductive Reasoning in narrative Text", "tags": ["abductive-natural-language-inference"], "dataset_info": {"config_name": "anli", "features": [{"name": "observation_1", "dtype": "string"}, {"name": "observation_2", "dtype": "string"}, {"name": "hypothesis_1", "dtype": "string"}, {"name": "hypothesis_2", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "1", "2": "2"}}}}], "splits": [{"name": "validation", "num_bytes": 311146, "num_examples": 1532}, {"name": "train", "num_bytes": 33918790, "num_examples": 169654}], "download_size": 9191805, "dataset_size": 34229936}, "configs": [{"config_name": "anli", "data_files": [{"split": "validation", "path": "anli/validation-*"}, {"split": "train", "path": "anli/train-*"}], "default": true}]}
TAGS
#task_categories-multiple-choice #task_categories-text-classification #task_ids-natural-language-inference #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-unknown #abductive-natural-language-inference #arxiv-1908.05739 #region-us 

Dataset Card for "art"
======================


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: URL
* Repository: URL
* Paper: Abductive Commonsense Reasoning
* Point of Contact:
* Size of downloaded dataset files: 5.12 MB
* Size of the generated dataset: 34.36 MB
* Total amount of disk used: 39.48 MB


### Dataset Summary


ART consists of over 20k commonsense narrative contexts and 200k explanations.


The Abductive Natural Language Inference Dataset from AI2.


### Supported Tasks and Leaderboards


### Languages


Dataset Structure
-----------------


### Data Instances


#### anli


* Size of downloaded dataset files: 5.12 MB
* Size of the generated dataset: 34.36 MB
* Total amount of disk used: 39.48 MB


An example of 'train' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### anli


* 'observation\_1': a 'string' feature.
* 'observation\_2': a 'string' feature.
* 'hypothesis\_1': a 'string' feature.
* 'hypothesis\_2': a 'string' feature.
* 'label': a classification label, with possible values including '0' (0), '1' (1), '2' (2).


### Data Splits



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


### Contributions


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



### Dataset Summary


ART consists of over 20k commonsense narrative contexts and 200k explanations.


The Abductive Natural Language Inference Dataset from AI2. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### anli


* Size of downloaded dataset files: 5.12 MB
* Size of the generated dataset: 34.36 MB
* Total amount of disk used: 39.48 MB


An example of 'train' looks as follows. ### Data Fields


The data fields are the same among all splits. #### anli


* 'observation\_1': a 'string' feature.
* 'observation\_2': a 'string' feature.
* 'hypothesis\_1': a 'string' feature.
* 'hypothesis\_2': a 'string' feature.
* 'label': a classification label, with possible values including '0' (0), '1' (1), '2' (2). ### Data Splits



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 ### Contributions


Thanks to @patrickvonplaten, @thomwolf, @mariamabarham, @lewtun, @lhoestq for adding this dataset.
TAGS
#task_categories-multiple-choice #task_categories-text-classification #task_ids-natural-language-inference #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-unknown #abductive-natural-language-inference #arxiv-1908.05739 #region-us 
 ### Dataset Summary


ART consists of over 20k commonsense narrative contexts and 200k explanations.


The Abductive Natural Language Inference Dataset from AI2. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### anli


* Size of downloaded dataset files: 5.12 MB
* Size of the generated dataset: 34.36 MB
* Total amount of disk used: 39.48 MB


An example of 'train' looks as follows. ### Data Fields


The data fields are the same among all splits. #### anli


* 'observation\_1': a 'string' feature.
* 'observation\_2': a 'string' feature.
* 'hypothesis\_1': a 'string' feature.
* 'hypothesis\_2': a 'string' feature.
* 'label': a classification label, with possible values including '0' (0), '1' (1), '2' (2). ### Data Splits



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 ### Contributions


Thanks to @patrickvonplaten, @thomwolf, @mariamabarham, @lewtun, @lhoestq for adding this dataset.
passage: TAGS
#task_categories-multiple-choice #task_categories-text-classification #task_ids-natural-language-inference #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-unknown #abductive-natural-language-inference #arxiv-1908.05739 #region-us 
### Dataset Summary


ART consists of over 20k commonsense narrative contexts and 200k explanations.


The Abductive Natural Language Inference Dataset from AI2.### Supported Tasks and Leaderboards### Languages


Dataset Structure
-----------------### Data Instances#### anli


* Size of downloaded dataset files: 5.12 MB
* Size of the generated dataset: 34.36 MB
* Total amount of disk used: 39.48 MB


An example of 'train' looks as follows.### Data Fields


The data fields are the same among all splits.#### anli


* 'observation\_1': a 'string' feature.
* 'observation\_2': a 'string' feature.
* 'hypothesis\_1': a 'string' feature.
* 'hypothesis\_2': a 'string' feature.
* 'label': a classification label, with possible values including '0' (0), '1' (1), '2' (2).### Data Splits



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