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Dataset Card for "wiqa"

Table of Contents

Dataset Description

Dataset Summary

The WIQA dataset V1 has 39705 questions containing a perturbation and a possible effect in the context of a paragraph. The dataset is split into 29808 train questions, 6894 dev questions and 3003 test questions.

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

default

  • Size of downloaded dataset files: 5.00 MB
  • Size of the generated dataset: 21.36 MB
  • Total amount of disk used: 26.37 MB

An example of 'validation' looks as follows.

{
    "answer_label": "more",
    "answer_label_as_choice": "A",
    "choices": {
        "label": ["A", "B", "C"],
        "text": ["more", "less", "no effect"]
    },
    "metadata_graph_id": "481",
    "metadata_para_id": "528",
    "metadata_path_len": 3,
    "metadata_question_id": "influence_graph:528:481:77#0",
    "metadata_question_type": "INPARA_EFFECT",
    "question_para_step": ["A male and female rabbit mate", "The female rabbit becomes pregnant", "Baby rabbits form inside of the mother rabbit", "The female rabbit gives birth to a litter", "The newborn rabbits grow up to become adults", "The adult rabbits find mates."],
    "question_stem": "suppose the female is sterile happens, how will it affect LESS rabbits."
}

Data Fields

The data fields are the same among all splits.

default

  • question_stem: a string feature.
  • question_para_step: a list of string features.
  • answer_label: a string feature.
  • answer_label_as_choice: a string feature.
  • choices: a dictionary feature containing:
    • text: a string feature.
    • label: a string feature.
  • metadata_question_id: a string feature.
  • metadata_graph_id: a string feature.
  • metadata_para_id: a string feature.
  • metadata_question_type: a string feature.
  • metadata_path_len: a int32 feature.

Data Splits Sample Size

name train validation test
default 29808 6894 3003

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

@article{wiqa,
      author    = {Niket Tandon and Bhavana Dalvi Mishra and Keisuke Sakaguchi and Antoine Bosselut and Peter Clark}
      title     = {WIQA: A dataset for "What if..." reasoning over procedural text},
      journal   = {arXiv:1909.04739v1},
      year      = {2019},
}

Contributions

Thanks to @patrickvonplaten, @lewtun, @thomwolf, @mariamabarham, @lhoestq for adding this dataset.