Dataset:



Dataset Card for "sciq"

Dataset Summary

The SciQ dataset contains 13,679 crowdsourced science exam questions about Physics, Chemistry and Biology, among others. The questions are in multiple-choice format with 4 answer options each. For the majority of the questions, an additional paragraph with supporting evidence for the correct answer is provided.

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

default

  • Size of downloaded dataset files: 2.69 MB
  • Size of the generated dataset: 7.32 MB
  • Total amount of disk used: 10.01 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "correct_answer": "coriolis effect",
    "distractor1": "muon effect",
    "distractor2": "centrifugal effect",
    "distractor3": "tropical effect",
    "question": "What phenomenon makes global winds blow northeast to southwest or the reverse in the northern hemisphere and northwest to southeast or the reverse in the southern hemisphere?",
    "support": "\"Without Coriolis Effect the global winds would blow north to south or south to north. But Coriolis makes them blow northeast to..."
}

Data Fields

The data fields are the same among all splits.

default

  • question: a string feature.
  • distractor3: a string feature.
  • distractor1: a string feature.
  • distractor2: a string feature.
  • correct_answer: a string feature.
  • support: a string feature.

Data Splits Sample Size

name train validation test
default 11679 1000 1000

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{SciQ,
    title={Crowdsourcing Multiple Choice Science Questions},
    author={Johannes Welbl, Nelson F. Liu, Matt Gardner},
    year={2017},
    journal={arXiv:1707.06209v1}
}

Contributions

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

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