README.md

metadata

annotations_creators:
  - other
language_creators:
  - found
language:
  - ar
  - bg
  - de
  - en
  - es
  - it
  - ro
license:
  - unknown
multilinguality:
  - multilingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - multiple-choice
task_ids:
  - multiple-choice-qa
pretty_name: 'QA4MRE: Question Answering for Machine Reading Evaluation'
dataset_info:
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  - config_name: 2013.main.ES
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    dataset_size: 3363049
configs:
  - config_name: 2011.main.DE
    data_files:
      - split: train
        path: 2011.main.DE/train-*
  - config_name: 2011.main.EN
    data_files:
      - split: train
        path: 2011.main.EN/train-*
  - config_name: 2011.main.ES
    data_files:
      - split: train
        path: 2011.main.ES/train-*
  - config_name: 2011.main.IT
    data_files:
      - split: train
        path: 2011.main.IT/train-*
  - config_name: 2011.main.RO
    data_files:
      - split: train
        path: 2011.main.RO/train-*
  - config_name: 2012.alzheimers.EN
    data_files:
      - split: train
        path: 2012.alzheimers.EN/train-*
  - config_name: 2012.main.AR
    data_files:
      - split: train
        path: 2012.main.AR/train-*
  - config_name: 2012.main.BG
    data_files:
      - split: train
        path: 2012.main.BG/train-*
  - config_name: 2012.main.DE
    data_files:
      - split: train
        path: 2012.main.DE/train-*
  - config_name: 2012.main.EN
    data_files:
      - split: train
        path: 2012.main.EN/train-*
  - config_name: 2012.main.ES
    data_files:
      - split: train
        path: 2012.main.ES/train-*
  - config_name: 2012.main.IT
    data_files:
      - split: train
        path: 2012.main.IT/train-*
  - config_name: 2012.main.RO
    data_files:
      - split: train
        path: 2012.main.RO/train-*

Dataset Card for "qa4mre"

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: http://nlp.uned.es/clef-qa/repository/qa4mre.php
• Repository: More Information Needed
• Paper: QA4MRE 2011-2013: Overview of Question Answering for Machine Reading Evaluation
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 5.49 MB
• Size of the generated dataset: 48.35 MB
• Total amount of disk used: 53.84 MB

Dataset Summary

QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in question answering and reading comprehension. The dataset contains a supporting passage and a set of questions corresponding to the passage. Multiple options for answers are provided for each question, of which only one is correct. The training and test datasets are available for the main track. Additional gold standard documents are available for two pilot studies: one on alzheimers data, and the other on entrance exams data.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

2011.main.DE

• Size of downloaded dataset files: 0.22 MB
• Size of the generated dataset: 1.75 MB
• Total amount of disk used: 1.97 MB

An example of 'train' looks as follows.

2011.main.EN

• Size of downloaded dataset files: 0.20 MB
• Size of the generated dataset: 1.57 MB
• Total amount of disk used: 1.77 MB

An example of 'train' looks as follows.

2011.main.ES

• Size of downloaded dataset files: 0.22 MB
• Size of the generated dataset: 1.70 MB
• Total amount of disk used: 1.91 MB

An example of 'train' looks as follows.

2011.main.IT

• Size of downloaded dataset files: 0.21 MB
• Size of the generated dataset: 1.67 MB
• Total amount of disk used: 1.88 MB

An example of 'train' looks as follows.

2011.main.RO

• Size of downloaded dataset files: 0.22 MB
• Size of the generated dataset: 1.74 MB
• Total amount of disk used: 1.96 MB

An example of 'train' looks as follows.

Data Fields

The data fields are the same among all splits.

2011.main.DE

• topic_id: a string feature.
• topic_name: a string feature.
• test_id: a string feature.
• document_id: a string feature.
• document_str: a string feature.
• question_id: a string feature.
• question_str: a string feature.
• answer_options: a dictionary feature containing:
  • answer_id: a string feature.
  • answer_str: a string feature.
• correct_answer_id: a string feature.
• correct_answer_str: a string feature.

2011.main.EN

• topic_id: a string feature.
• topic_name: a string feature.
• test_id: a string feature.
• document_id: a string feature.
• document_str: a string feature.
• question_id: a string feature.
• question_str: a string feature.
• answer_options: a dictionary feature containing:
  • answer_id: a string feature.
  • answer_str: a string feature.
• correct_answer_id: a string feature.
• correct_answer_str: a string feature.

2011.main.ES

• topic_id: a string feature.
• topic_name: a string feature.
• test_id: a string feature.
• document_id: a string feature.
• document_str: a string feature.
• question_id: a string feature.
• question_str: a string feature.
• answer_options: a dictionary feature containing:
  • answer_id: a string feature.
  • answer_str: a string feature.
• correct_answer_id: a string feature.
• correct_answer_str: a string feature.

2011.main.IT

• topic_id: a string feature.
• topic_name: a string feature.
• test_id: a string feature.
• document_id: a string feature.
• document_str: a string feature.
• question_id: a string feature.
• question_str: a string feature.
• answer_options: a dictionary feature containing:
  • answer_id: a string feature.
  • answer_str: a string feature.
• correct_answer_id: a string feature.
• correct_answer_str: a string feature.

2011.main.RO

• topic_id: a string feature.
• topic_name: a string feature.
• test_id: a string feature.
• document_id: a string feature.
• document_str: a string feature.
• question_id: a string feature.
• question_str: a string feature.
• answer_options: a dictionary feature containing:
  • answer_id: a string feature.
  • answer_str: a string feature.
• correct_answer_id: a string feature.
• correct_answer_str: a string feature.

Data Splits

name	train
2011.main.DE	120
2011.main.EN	120
2011.main.ES	120
2011.main.IT	120
2011.main.RO	120

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{10.1007/978-3-642-40802-1_29,
author="Pe{\~{n}}as, Anselmo
and Hovy, Eduard
and Forner, Pamela
and Rodrigo, {\'A}lvaro
and Sutcliffe, Richard
and Morante, Roser",
editor="Forner, Pamela
and M{\"u}ller, Henning
and Paredes, Roberto
and Rosso, Paolo
and Stein, Benno",
title="QA4MRE 2011-2013: Overview of Question Answering for Machine Reading Evaluation",
booktitle="Information Access Evaluation. Multilinguality, Multimodality, and Visualization",
year="2013",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="303--320",
isbn="978-3-642-40802-1"
}

Contributions

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