|
--- |
|
language: |
|
- en |
|
paperswithcode_id: scitail |
|
pretty_name: SciTail |
|
dataset_info: |
|
- config_name: dgem_format |
|
features: |
|
- name: premise |
|
dtype: string |
|
- name: hypothesis |
|
dtype: string |
|
- name: label |
|
dtype: string |
|
- name: hypothesis_graph_structure |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 6817626 |
|
num_examples: 23088 |
|
- name: test |
|
num_bytes: 606867 |
|
num_examples: 2126 |
|
- name: validation |
|
num_bytes: 393209 |
|
num_examples: 1304 |
|
download_size: 2007018 |
|
dataset_size: 7817702 |
|
- config_name: predictor_format |
|
features: |
|
- name: answer |
|
dtype: string |
|
- name: sentence2_structure |
|
dtype: string |
|
- name: sentence1 |
|
dtype: string |
|
- name: sentence2 |
|
dtype: string |
|
- name: gold_label |
|
dtype: string |
|
- name: question |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 8864108 |
|
num_examples: 23587 |
|
- name: test |
|
num_bytes: 795275 |
|
num_examples: 2126 |
|
- name: validation |
|
num_bytes: 510140 |
|
num_examples: 1304 |
|
download_size: 2169238 |
|
dataset_size: 10169523 |
|
- config_name: snli_format |
|
features: |
|
- name: sentence1_binary_parse |
|
dtype: string |
|
- name: sentence1_parse |
|
dtype: string |
|
- name: sentence1 |
|
dtype: string |
|
- name: sentence2_parse |
|
dtype: string |
|
- name: sentence2 |
|
dtype: string |
|
- name: annotator_labels |
|
sequence: string |
|
- name: gold_label |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 22457379 |
|
num_examples: 23596 |
|
- name: test |
|
num_bytes: 2005142 |
|
num_examples: 2126 |
|
- name: validation |
|
num_bytes: 1264378 |
|
num_examples: 1304 |
|
download_size: 7476483 |
|
dataset_size: 25726899 |
|
- config_name: tsv_format |
|
features: |
|
- name: premise |
|
dtype: string |
|
- name: hypothesis |
|
dtype: string |
|
- name: label |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 4606527 |
|
num_examples: 23097 |
|
- name: test |
|
num_bytes: 410267 |
|
num_examples: 2126 |
|
- name: validation |
|
num_bytes: 260422 |
|
num_examples: 1304 |
|
download_size: 1836546 |
|
dataset_size: 5277216 |
|
configs: |
|
- config_name: dgem_format |
|
data_files: |
|
- split: train |
|
path: dgem_format/train-* |
|
- split: test |
|
path: dgem_format/test-* |
|
- split: validation |
|
path: dgem_format/validation-* |
|
- config_name: predictor_format |
|
data_files: |
|
- split: train |
|
path: predictor_format/train-* |
|
- split: test |
|
path: predictor_format/test-* |
|
- split: validation |
|
path: predictor_format/validation-* |
|
- config_name: snli_format |
|
data_files: |
|
- split: train |
|
path: snli_format/train-* |
|
- split: test |
|
path: snli_format/test-* |
|
- split: validation |
|
path: snli_format/validation-* |
|
- config_name: tsv_format |
|
data_files: |
|
- split: train |
|
path: tsv_format/train-* |
|
- split: test |
|
path: tsv_format/test-* |
|
- split: validation |
|
path: tsv_format/validation-* |
|
--- |
|
|
|
# Dataset Card for "scitail" |
|
|
|
## 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://allenai.org/data/scitail](https://allenai.org/data/scitail) |
|
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
- **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:** 56.70 MB |
|
- **Size of the generated dataset:** 49.09 MB |
|
- **Total amount of disk used:** 105.79 MB |
|
|
|
### Dataset Summary |
|
|
|
The SciTail dataset is an entailment dataset created from multiple-choice science exams and web sentences. Each question |
|
and the correct answer choice are converted into an assertive statement to form the hypothesis. We use information |
|
retrieval to obtain relevant text from a large text corpus of web sentences, and use these sentences as a premise P. We |
|
crowdsource the annotation of such premise-hypothesis pair as supports (entails) or not (neutral), in order to create |
|
the SciTail dataset. The dataset contains 27,026 examples with 10,101 examples with entails label and 16,925 examples |
|
with neutral label |
|
|
|
### 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 |
|
|
|
#### dgem_format |
|
|
|
- **Size of downloaded dataset files:** 14.18 MB |
|
- **Size of the generated dataset:** 7.83 MB |
|
- **Total amount of disk used:** 22.01 MB |
|
|
|
An example of 'train' looks as follows. |
|
``` |
|
|
|
``` |
|
|
|
#### predictor_format |
|
|
|
- **Size of downloaded dataset files:** 14.18 MB |
|
- **Size of the generated dataset:** 10.19 MB |
|
- **Total amount of disk used:** 24.37 MB |
|
|
|
An example of 'validation' looks as follows. |
|
``` |
|
|
|
``` |
|
|
|
#### snli_format |
|
|
|
- **Size of downloaded dataset files:** 14.18 MB |
|
- **Size of the generated dataset:** 25.77 MB |
|
- **Total amount of disk used:** 39.95 MB |
|
|
|
An example of 'validation' looks as follows. |
|
``` |
|
|
|
``` |
|
|
|
#### tsv_format |
|
|
|
- **Size of downloaded dataset files:** 14.18 MB |
|
- **Size of the generated dataset:** 5.30 MB |
|
- **Total amount of disk used:** 19.46 MB |
|
|
|
An example of 'validation' looks as follows. |
|
``` |
|
|
|
``` |
|
|
|
### Data Fields |
|
|
|
The data fields are the same among all splits. |
|
|
|
#### dgem_format |
|
- `premise`: a `string` feature. |
|
- `hypothesis`: a `string` feature. |
|
- `label`: a `string` feature. |
|
- `hypothesis_graph_structure`: a `string` feature. |
|
|
|
#### predictor_format |
|
- `answer`: a `string` feature. |
|
- `sentence2_structure`: a `string` feature. |
|
- `sentence1`: a `string` feature. |
|
- `sentence2`: a `string` feature. |
|
- `gold_label`: a `string` feature. |
|
- `question`: a `string` feature. |
|
|
|
#### snli_format |
|
- `sentence1_binary_parse`: a `string` feature. |
|
- `sentence1_parse`: a `string` feature. |
|
- `sentence1`: a `string` feature. |
|
- `sentence2_parse`: a `string` feature. |
|
- `sentence2`: a `string` feature. |
|
- `annotator_labels`: a `list` of `string` features. |
|
- `gold_label`: a `string` feature. |
|
|
|
#### tsv_format |
|
- `premise`: a `string` feature. |
|
- `hypothesis`: a `string` feature. |
|
- `label`: a `string` feature. |
|
|
|
### Data Splits |
|
|
|
| name |train|validation|test| |
|
|----------------|----:|---------:|---:| |
|
|dgem_format |23088| 1304|2126| |
|
|predictor_format|23587| 1304|2126| |
|
|snli_format |23596| 1304|2126| |
|
|tsv_format |23097| 1304|2126| |
|
|
|
## 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{scitail, |
|
Author = {Tushar Khot and Ashish Sabharwal and Peter Clark}, |
|
Booktitle = {AAAI}, |
|
Title = {{SciTail}: A Textual Entailment Dataset from Science Question Answering}, |
|
Year = {2018} |
|
} |
|
|
|
``` |
|
|
|
|
|
### Contributions |
|
|
|
Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@mariamabarham](https://github.com/mariamabarham), [@lewtun](https://github.com/lewtun), [@thomwolf](https://github.com/thomwolf) for adding this dataset. |