| --- |
| 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.](https://doi.org/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](https://github.com/<github-username>) for adding this dataset. |
|
|
|
|
