README.md

metadata

annotations_creators:
  - crowdsourced
language:
  - sk
language_creators:
  - crowdsourced
  - found
license:
  - cc-by-sa-4.0
  - cc-by-4.0
multilinguality:
  - monolingual
paperswithcode_id: squad
pretty_name: skquad
size_categories:
  - 10K<n<100K
source_datasets:
  - original
tags:
  - wikipedia
task_categories:
  - question-answering
  - text-retrieval
task_ids:
  - open-domain-qa
  - extractive-qa
  - document-retrieval
train-eval-index:
  - col_mapping:
      answers:
        answer_start: answer_start
        text: text
      context: context
      question: question
    config: squad_v2
    metrics:
      - name: SQuAD v2
        type: squad_v2
    splits:
      eval_split: validation
      train_split: train
    task: question-answering
    task_id: extractive_question_answering

Dataset Card for [Dataset Name]

Table of Contents

• 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:
• Repository:
• Paper:
• Leaderboard:
• Point of Contact:

Dataset Summary

SK-QuAD is the first QA dataset for the Slovak language. It is manually annotated, so it has no distortion caused by machine translation. The dataset is thematically diverse – it does not overlap with SQuAD – it brings new knowledge. It passed the second round of annotation – each question and the answer were seen by at least two annotators.

Supported Tasks and Leaderboards

• Question answering
• Document retrieval

Languages

• Slovak

Dataset Structure

squad_v2

• Size of downloaded dataset files: 44.34 MB
• Size of the generated dataset: 122.57 MB
• Total amount of disk used: 166.91 MB
• An example of 'validation' looks as follows.

This example was too long and was cropped:
{
    "answers": {
        "answer_start": [94, 87, 94, 94],
        "text": ["10th and 11th centuries", "in the 10th and 11th centuries", "10th and 11th centuries", "10th and 11th centuries"]
    },
    "context": "\"The Normans (Norman: Nourmands; French: Normands; Latin: Normanni) were the people who in the 10th and 11th centuries gave thei...",
    "id": "56ddde6b9a695914005b9629",
    "question": "When were the Normans in Normandy?",
    "title": "Normans"
}

Data Fields

The data fields are the same among all splits.

squad_v2

• id: a string feature.
• title: a string feature.
• context: a string feature.
• question: a string feature.
• answers: a dictionary feature containing:
  • text: a string feature.
  • answer_start: a int32 feature.

Data Splits

	Train	Dev	Translated
Documents	8,377	940	442
Paragraphs	22,062	2,568	18,931
Questions	81,582	9,583	120,239
Answers	65,839	7,822	79,978
Unanswerable	15,877	1,784	40,261

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

• Deutsche Telekom Systems Solutions Slovakia
• Technical Univesity of Košice

Licensing Information

Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)

Citation Information

[More Information Needed]

Contributions

Thanks to @github-username for adding this dataset.