Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
Languages:
Polish
Size:
1K - 10K
| language: | |
| - pl | |
| task_categories: | |
| - question-answering | |
| task_ids: | |
| - extractive-qa | |
| pretty_name: QA-Wikipedia (Polish) | |
| size_categories: | |
| - 1K<n<10K | |
| tags: | |
| - polish | |
| - squad | |
| - extractive-question-answering | |
| - paraphrase | |
| - unanswerable | |
| source_datasets: | |
| - original | |
| multilinguality: | |
| - monolingual | |
| annotations_creators: | |
| - expert-generated | |
| language_creators: | |
| - found | |
| dataset_info: | |
| features: | |
| - name: question | |
| dtype: string | |
| - name: is_paraphrase | |
| dtype: bool | |
| - name: is_impossible | |
| dtype: bool | |
| - name: answers | |
| sequence: | |
| - name: answer_start | |
| dtype: int64 | |
| - name: answer_end | |
| dtype: int64 | |
| - name: text | |
| dtype: string | |
| - name: context | |
| dtype: string | |
| - name: dataset | |
| dtype: string | |
| - name: context_id | |
| dtype: int64 | |
| splits: | |
| - name: train | |
| num_examples: 6458 | |
| - name: validation | |
| num_examples: 1639 | |
| # QA-Wikipedia | |
| Polish extractive question answering dataset built on top of Polish Wikipedia passages. Each example pairs a question with a context paragraph, optional answer spans, and flags indicating whether the question is a paraphrase of another item and whether it is unanswerable from the provided context. | |
| ## Dataset summary | |
| | Split | Examples | | |
| |------------|---------:| | |
| | train | 6,458 | | |
| | validation | 1,639 | | |
| - **Language**: Polish (`pl`) | |
| - **Task**: Extractive question answering (SQuAD 2.0-style, with unanswerable questions) | |
| - **Domain**: Polish Wikipedia | |
| - **Format**: One row per (question, context) pair | |
| ## Features | |
| | Field | Type | Notes | | |
| |-----------------|-----------------------------------------------------|----------------------------------------------------------------------| | |
| | `question` | `string` | Question text in Polish | | |
| | `context` | `string` | Wikipedia passage that may contain the answer | | |
| | `answers` | `{answer_start: int[], answer_end: int[], text: str[]}` | Character-level answer span(s); `null` when `is_impossible` is true | | |
| | `is_impossible` | `bool` | `true` if the question cannot be answered from `context` | | |
| | `is_paraphrase` | `bool` | `true` if the item is a paraphrase of another question for the same context | | |
| | `dataset` | `string` | Source identifier (`wikipedia`) | | |
| | `context_id` | `int64` | Identifier shared by all questions on the same context | | |
| ## Loading | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("expansio/qa-wikipedia") | |
| print(ds) | |
| print(ds["train"][0]) | |
| ``` | |
| ## Evaluation | |
| The dataset is evaluated with the SQuAD 2.0 metric family: | |
| - `exact` / `f1` — overall scores | |
| - `HasAns_exact` / `HasAns_f1` — restricted to answerable questions | |
| - `NoAns_f1` — accuracy on questions flagged as unanswerable | |
| ## License | |
| TBD. Source text is derived from Polish Wikipedia (CC BY-SA 3.0); attribution must be preserved on redistribution. The final license for this redistribution will be specified before publication. | |
| ## Citation | |
| If you use this dataset, please cite the LEPISZCZE benchmark and the source corpus. | |
| ```bibtex | |
| @inproceedings{augustyniak2022lepiszcze, | |
| title = {This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish}, | |
| author = {Augustyniak, {\L}ukasz and Tagowski, Kamil and Sawczyn, Albert and Janiak, Denis and Bartusiak, Roman and W{\k{a}}troba, Patryk and Mr{\'o}z, Krzysztof and Walczak, Bart{\l}omiej and Smywi{\'n}ski-Pohl, Aleksander and Mizgajski, Jan and Augustyniak, Piotr and Kajdanowicz, Tomasz}, | |
| booktitle = {Advances in Neural Information Processing Systems 35 (NeurIPS 2022) Datasets and Benchmarks Track}, | |
| year = {2022} | |
| } | |
| ``` | |
| ## Maintainer | |
| [Expansio Software House](https://expans.io) in collaboration with [CLARIN-PL](https://clarin-pl.eu/). | |