Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
Languages:
Polish
Size:
1K - 10K
File size: 4,733 Bytes
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language:
- pl
task_categories:
- question-answering
task_ids:
- extractive-qa
pretty_name: QA-NKJP (Polish)
size_categories:
- 1K<n<10K
tags:
- polish
- nkjp
- squad
- extractive-question-answering
- paraphrase
- unanswerable
source_datasets:
- extended|nkjp
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: 4417
- name: validation
num_examples: 908
---
# QA-NKJP
Polish extractive question answering dataset built on passages from the National Corpus of Polish (*Narodowy Korpus Języka Polskiego*, NKJP). Each example pairs a question with a context paragraph drawn from NKJP, 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 | 4,417 |
| validation | 908 |
- **Language**: Polish (`pl`)
- **Task**: Extractive question answering (SQuAD 2.0-style, with unanswerable questions)
- **Domain**: NKJP - mixed-genre Polish corpus (press, fiction, transcripts, web)
- **Format**: One row per (question, context) pair
## Features
| Field | Type | Notes |
|-----------------|-----------------------------------------------------|-----------------------------------------------------------------------|
| `question` | `string` | Question text in Polish |
| `context` | `string` | NKJP 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 (`NKJP`) |
| `context_id` | `int64` | Identifier shared by all questions on the same context |
## Loading
```python
from datasets import load_dataset
ds = load_dataset("expansio/qa-nkjp")
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 passages come from NKJP - please respect the [NKJP licensing terms](http://nkjp.pl/) for the underlying texts. 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}
}
@inproceedings{przepiorkowski2010nkjp,
title = {The National Corpus of Polish},
author = {Przepi{\'o}rkowski, Adam and Ba{\'n}ko, Miros{\l}aw and G{\'o}rski, Rafa{\l} L. and Lewandowska-Tomaszczyk, Barbara},
booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)},
year = {2010}
}
```
## Maintainer
[Expansio Software House](https://expans.io) in collaboration with [CLARIN-PL](https://clarin-pl.eu/).
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