Dataset:



Dataset Card for "scitail"

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

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Languages

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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

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Source Data

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Annotations

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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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.

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