File size: 6,789 Bytes
e30ddd5
0391077
 
d0e54ab
ba2a703
0391077
 
 
 
 
 
bd2d406
0391077
 
 
 
 
 
 
 
 
 
5364c3f
 
544eef8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2521020
 
 
544eef8
 
e30ddd5
 
 
 
 
 
 
d952844
e30ddd5
 
 
 
d952844
e30ddd5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4d62752
e30ddd5
 
0391077
 
e30ddd5
 
 
 
 
4d62752
e30ddd5
0391077
 
 
e30ddd5
d952844
e30ddd5
 
 
4d62752
e30ddd5
 
 
4d62752
e30ddd5
4d62752
e30ddd5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4d62752
e30ddd5
 
 
 
 
 
 
 
 
 
d952844
e30ddd5
 
 
 
 
4d62752
e30ddd5
4d62752
e30ddd5
 
 
4d62752
e30ddd5
d952844
 
 
 
 
 
e30ddd5
 
4d62752
e30ddd5
d952844
 
 
 
 
 
e30ddd5
 
4d62752
e30ddd5
 
 
4d62752
e30ddd5
4d62752
e30ddd5
 
 
4d62752
e30ddd5
 
 
4d62752
e30ddd5
 
 
4d62752
e30ddd5
4d62752
e30ddd5
 
 
4d62752
e30ddd5
 
 
4d62752
e30ddd5
 
0391077
 
 
 
 
 
e30ddd5
 
 
 
 
5364c3f
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
---
annotations_creators:
- crowdsourced
language:
- en
language_creators:
- found
license:
- unknown
multilinguality:
- monolingual
pretty_name: Abductive Reasoning in narrative Text
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- multiple-choice
- text-classification
task_ids:
- natural-language-inference
paperswithcode_id: art-dataset
tags:
- abductive-natural-language-inference
dataset_info:
  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'
  config_name: anli
  splits:
  - name: validation
    num_bytes: 312314
    num_examples: 1532
  - name: train
    num_bytes: 34046304
    num_examples: 169654
  download_size: 5118294
  dataset_size: 34358618
---

# 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:** 4.88 MB
- **Size of the generated dataset:** 32.77 MB
- **Total amount of disk used:** 37.65 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:** 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`: 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.