File size: 6,647 Bytes
aafdb3e
795fcfa
 
 
 
4365799
 
795fcfa
 
 
 
 
 
 
 
 
 
 
 
4365799
fabf4e7
 
 
 
 
 
 
 
4365799
 
fabf4e7
 
 
 
 
 
 
 
 
 
 
 
 
 
aafdb3e
 
 
 
 
 
 
91c7047
aafdb3e
 
 
 
91c7047
aafdb3e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ce221ca
aafdb3e
795fcfa
 
 
aafdb3e
bc22b13
 
 
aafdb3e
ce221ca
aafdb3e
 
 
 
91c7047
aafdb3e
 
 
ce221ca
aafdb3e
 
 
ce221ca
aafdb3e
ce221ca
aafdb3e
 
 
bc22b13
 
 
aafdb3e
 
 
 
 
 
 
 
 
 
ce221ca
aafdb3e
 
 
 
 
 
 
 
91c7047
aafdb3e
 
 
 
 
ce221ca
aafdb3e
ce221ca
aafdb3e
 
 
ce221ca
aafdb3e
91c7047
 
 
 
 
 
aafdb3e
 
ce221ca
aafdb3e
91c7047
 
 
 
 
 
aafdb3e
 
ce221ca
aafdb3e
 
 
ce221ca
aafdb3e
ce221ca
aafdb3e
 
 
ce221ca
aafdb3e
 
 
ce221ca
aafdb3e
 
 
ce221ca
aafdb3e
ce221ca
aafdb3e
 
 
ce221ca
aafdb3e
 
 
ce221ca
aafdb3e
 
795fcfa
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
aafdb3e
 
 
 
 
 
 
 
 
 
 
 
 
 
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
211
212
213
214
215
216
217
---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
pretty_name: MovieRationales
dataset_info:
  features:
  - name: review
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': NEG
          '1': POS
  - name: evidences
    sequence: string
  splits:
  - name: test
    num_bytes: 1046377
    num_examples: 199
  - name: train
    num_bytes: 6853624
    num_examples: 1600
  - name: validation
    num_bytes: 830417
    num_examples: 200
  download_size: 3899487
  dataset_size: 8730418
---

# Dataset Card for "movie_rationales"

## 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:**
- **Repository:** https://github.com/jayded/eraserbenchmark
- **Paper:** [ERASER: A Benchmark to Evaluate Rationalized NLP Models](https://aclanthology.org/2020.acl-main.408/)
- **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:** 3.90 MB
- **Size of the generated dataset:** 8.73 MB
- **Total amount of disk used:** 12.62 MB

### Dataset Summary

The movie rationale dataset contains human annotated rationales for movie
reviews.

### 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

#### default

- **Size of downloaded dataset files:** 3.90 MB
- **Size of the generated dataset:** 8.73 MB
- **Total amount of disk used:** 12.62 MB

An example of 'validation' looks as follows.
```
{
    "evidences": ["Fun movie"],
    "label": 1,
    "review": "Fun movie\n"
}
```

### Data Fields

The data fields are the same among all splits.

#### default
- `review`: a `string` feature.
- `label`: a classification label, with possible values including `NEG` (0), `POS` (1).
- `evidences`: a `list` of `string` features.

### Data Splits

| name  |train|validation|test|
|-------|----:|---------:|---:|
|default| 1600|       200| 199|

## 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{deyoung-etal-2020-eraser,
    title = "{ERASER}: {A} Benchmark to Evaluate Rationalized {NLP} Models",
    author = "DeYoung, Jay  and
      Jain, Sarthak  and
      Rajani, Nazneen Fatema  and
      Lehman, Eric  and
      Xiong, Caiming  and
      Socher, Richard  and
      Wallace, Byron C.",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.acl-main.408",
    doi = "10.18653/v1/2020.acl-main.408",
    pages = "4443--4458",
}
@InProceedings{zaidan-eisner-piatko-2008:nips,
  author    =  {Omar F. Zaidan  and  Jason Eisner  and  Christine Piatko},
  title     =  {Machine Learning with Annotator Rationales to Reduce Annotation Cost},
  booktitle =  {Proceedings of the NIPS*2008 Workshop on Cost Sensitive Learning},
  month     =  {December},
  year      =  {2008}
}
```


### Contributions

Thanks to [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun) for adding this dataset.