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Dataset Card for "sciq"

Table of Contents

Dataset Description

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

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: 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

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{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.