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
dataset_info:
  config_name: skquad
  features:
    - name: id
      dtype: string
    - name: title
      dtype: string
    - name: context
      dtype: string
    - name: question
      dtype: string
    - name: answers
      sequence:
        - name: text
          dtype: string
        - name: answer_start
          dtype: int32
  splits:
    - name: train
      num_bytes: 111842848
      num_examples: 81582
    - name: validation
      num_bytes: 12992195
      num_examples: 9583
configs:
  - config_name: skquad
    default: true
    data_files:
      - split: train
        path: train.json.gz
      - split: validation
        path: validation.json.gz
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 SkQuAD

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

Question answering

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
Documents	8,377	940
Paragraphs	22,062	2,568
Questions	81,582	9,583
Answers	65,839	7,822
Unanswerable	15,877	1,784

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

D. Hládek, J. Staš, J. Juhár and T. Koctúr, "Slovak Dataset for Multilingual Question Answering," in IEEE Access, vol. 11, pp. 32869-32881, 2023, doi: 10.1109/ACCESS.2023.3262308.

@ARTICLE{10082887,
  author={Hládek, Daniel and Staš, Ján and Juhár, Jozef and Koctúr, Tomáš},
  journal={IEEE Access}, 
  title={Slovak Dataset for Multilingual Question Answering}, 
  year={2023},
  volume={11},
  pages={32869-32881},
  doi={10.1109/ACCESS.2023.3262308}
}

Contributions

Thanks to @github-username for adding this dataset.