README.md

metadata

annotations_creators:
  - no-annotation
language_creators:
  - crowdsourced
language:
  - en
license:
  - cc-by-nc-3.0
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - question-answering
task_ids:
  - closed-domain-qa
paperswithcode_id: sciq
pretty_name: SciQ
dataset_info:
  features:
    - name: question
      dtype: string
    - name: distractor3
      dtype: string
    - name: distractor1
      dtype: string
    - name: distractor2
      dtype: string
    - name: correct_answer
      dtype: string
    - name: support
      dtype: string
  splits:
    - name: test
      num_bytes: 564826
      num_examples: 1000
    - name: train
      num_bytes: 6556427
      num_examples: 11679
    - name: validation
      num_bytes: 555019
      num_examples: 1000
  download_size: 2821345
  dataset_size: 7676272

Dataset Card for "sciq"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• 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/sciq
• Repository: More Information Needed
• Paper: More Information Needed
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 2.82 MB
• Size of the generated dataset: 7.68 MB
• Total amount of disk used: 10.50 MB

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 and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

default

• Size of downloaded dataset files: 2.82 MB
• Size of the generated dataset: 7.68 MB
• Total amount of disk used: 10.50 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

name	train	validation	test
default	11679	1000	1000

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

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

The dataset is licensed under the Creative Commons Attribution-NonCommercial 3.0 Unported License.

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.