README.md

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Dataset Card for "scitail"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits Sample Size
• 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: https://allenai.org/data/scitail
• Repository: More Information Needed
• Paper: More Information Needed
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 54.07 MB
• Size of the generated dataset: 46.82 MB
• Total amount of disk used: 100.89 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

More Information Needed

Languages

More Information Needed

Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

dgem_format

• Size of downloaded dataset files: 13.52 MB
• Size of the generated dataset: 7.47 MB
• Total amount of disk used: 20.99 MB

An example of 'train' looks as follows.

predictor_format

• Size of downloaded dataset files: 13.52 MB
• Size of the generated dataset: 9.72 MB
• Total amount of disk used: 23.24 MB

An example of 'validation' looks as follows.

snli_format

• Size of downloaded dataset files: 13.52 MB
• Size of the generated dataset: 24.58 MB
• Total amount of disk used: 38.10 MB

An example of 'validation' looks as follows.

tsv_format

• Size of downloaded dataset files: 13.52 MB
• Size of the generated dataset: 5.05 MB
• Total amount of disk used: 18.56 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 Sample Size

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

Source Data

More Information Needed

Annotations

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

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.