README.md

metadata

annotations_creators:
  - crowdsourced
language_creators:
  - found
language:
  - en
license:
  - cc-by-nc-sa-4.0
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - multiple-choice
task_ids:
  - multiple-choice-qa
paperswithcode_id: quail
pretty_name: Question Answering for Artificial Intelligence (QuAIL)
dataset_info:
  config_name: quail
  features:
    - name: id
      dtype: string
    - name: context_id
      dtype: string
    - name: question_id
      dtype: string
    - name: domain
      dtype: string
    - name: metadata
      struct:
        - name: author
          dtype: string
        - name: title
          dtype: string
        - name: url
          dtype: string
    - name: context
      dtype: string
    - name: question
      dtype: string
    - name: question_type
      dtype: string
    - name: answers
      sequence: string
    - name: correct_answer_id
      dtype: int32
  splits:
    - name: train
      num_bytes: 23432601
      num_examples: 10246
    - name: validation
      num_bytes: 4989531
      num_examples: 2164
    - name: challenge
      num_bytes: 1199792
      num_examples: 556
  download_size: 2286403
  dataset_size: 29621924
configs:
  - config_name: quail
    data_files:
      - split: train
        path: quail/train-*
      - split: validation
        path: quail/validation-*
      - split: challenge
        path: quail/challenge-*
    default: true

Dataset Card for "quail"

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://text-machine-lab.github.io/blog/2020/quail/
• Repository: https://github.com/text-machine-lab/quail
• Paper: Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 6.41 MB
• Size of the generated dataset: 29.62 MB
• Total amount of disk used: 36.03 MB

Dataset Summary

QuAIL is a reading comprehension dataset. QuAIL contains 15K multi-choice questions in texts 300-350 tokens long 4 domains (news, user stories, fiction, blogs).QuAIL is balanced and annotated for question types.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

quail

• Size of downloaded dataset files: 6.41 MB
• Size of the generated dataset: 29.62 MB
• Total amount of disk used: 36.03 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "answers": ["the cousin is not friendly", "the cousin could have been pretier", "not enough information", "the cousin was too nice"],
    "context": "\"That fall came and I went back to Michigan and the school year went by and summer came and I never really thought about it. I'm...",
    "context_id": "f001",
    "correct_answer_id": 0,
    "domain": "fiction",
    "id": "f001_19",
    "metadata": {
        "author": "Joseph Devon",
        "title": "Black Eyed Susan",
        "url": "http://manybooks.net/pages/devonjother08black_eyed_susan/0.html"
    },
    "question": "After the events in the text what does the author think about the cousin?",
    "question_id": "19",
    "question_type": "Subsequent_state"
}

Data Fields

The data fields are the same among all splits.

quail

• id: a string feature.
• context_id: a string feature.
• question_id: a string feature.
• domain: a string feature.
• author: a string feature.
• title: a string feature.
• url: a string feature.
• context: a string feature.
• question: a string feature.
• question_type: a string feature.
• answers: a list of string features.
• correct_answer_id: a int32 feature.

Data Splits

name	train	challenge	validation
quail	10246	556	2164

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

More Information Needed

Citation Information

@inproceedings{DBLP:conf/aaai/RogersKDR20,
  author    = {Anna Rogers and
               Olga Kovaleva and
               Matthew Downey and
               Anna Rumshisky},
  title     = {Getting Closer to {AI} Complete Question Answering: {A} Set of Prerequisite
               Real Tasks},
  booktitle = {The Thirty-Fourth {AAAI} Conference on Artificial Intelligence, {AAAI}
               2020, The Thirty-Second Innovative Applications of Artificial Intelligence
               Conference, {IAAI} 2020, The Tenth {AAAI} Symposium on Educational
               Advances in Artificial Intelligence, {EAAI} 2020, New York, NY, USA,
               February 7-12, 2020},
  pages     = {8722--8731},
  publisher = {{AAAI} Press},
  year      = {2020},
  url       = {https://aaai.org/ojs/index.php/AAAI/article/view/6398},
  timestamp = {Thu, 04 Jun 2020 13:18:48 +0200},
  biburl    = {https://dblp.org/rec/conf/aaai/RogersKDR20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Contributions

Thanks to @sai-prasanna, @ngdodd for adding this dataset.