README.md

metadata

annotations_creators:
  - expert-generated
language_creators:
  - other
language:
  - pl
license:
  - bsd-3-clause
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - question-answering
task_ids:
  - open-domain-qa
pretty_name: dyk
dataset_info:
  features:
    - name: q_id
      dtype: string
    - name: question
      dtype: string
    - name: answer
      dtype: string
    - name: target
      dtype:
        class_label:
          names:
            '0': '0'
            '1': '1'
  splits:
    - name: train
      num_bytes: 1388690
      num_examples: 4154
    - name: test
      num_bytes: 353643
      num_examples: 1029
  download_size: 685462
  dataset_size: 1742333

Dataset Card for [Dataset Name]

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.pwr.wroc.pl/en/tools-and-resources/resources/czy-wiesz-question-answering-dataset
• Repository:
• Paper:
• Leaderboard:
• Point of Contact:

Dataset Summary

The Did You Know (pol. Czy wiesz?) dataset consists of human-annotated question-answer pairs. The task is to predict if the answer is correct. We chose the negatives which have the largest token overlap with a question.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

Polish

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

• q_id: question id
• question: question sentence
• answer: answer sentence
• target: 1 if the answer is correct, 0 otherwise. Note that the test split doesn't have target values so -1 is used instead

Data Splits

[More Information Needed]

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

CC BY-SA 3.0

Citation Information

[More Information Needed]

Contributions

Thanks to @abecadel for adding this dataset.