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 Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://allenai.org/data/scitail
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- 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
Languages
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
: astring
feature.hypothesis
: astring
feature.label
: astring
feature.hypothesis_graph_structure
: astring
feature.
predictor_format
answer
: astring
feature.sentence2_structure
: astring
feature.sentence1
: astring
feature.sentence2
: astring
feature.gold_label
: astring
feature.question
: astring
feature.
snli_format
sentence1_binary_parse
: astring
feature.sentence1_parse
: astring
feature.sentence1
: astring
feature.sentence2_parse
: astring
feature.sentence2
: astring
feature.annotator_labels
: alist
ofstring
features.gold_label
: astring
feature.
tsv_format
premise
: astring
feature.hypothesis
: astring
feature.label
: astring
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
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{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, @mariamabarham, @lewtun, @thomwolf for adding this dataset.