Add dataset card

README.md

@@ -1,4 +1,28 @@
 ---
+language:
+- pl
+task_categories:
+- question-answering
+task_ids:
+- extractive-qa
+pretty_name: QA-KPWr (Polish)
+size_categories:
+- 1K<n<10K
+tags:
+- polish
+- kpwr
+- squad
+- extractive-question-answering
+- paraphrase
+- unanswerable
+source_datasets:
+- extended|kpwr
+multilinguality:
+- monolingual
+annotations_creators:
+- expert-generated
+language_creators:
+- found
 dataset_info:
   features:
   - name: question
@@ -8,13 +32,13 @@ dataset_info:
   - name: is_impossible
     dtype: bool
   - name: answers
-    struct:
-    - name: answer_end
-      sequence: int64
+    sequence:
     - name: answer_start
-      sequence: int64
+      dtype: int64
+    - name: answer_end
+      dtype: int64
     - name: text
-      sequence: string
+      dtype: string
   - name: context
     dtype: string
   - name: dataset
@@ -23,26 +47,81 @@ dataset_info:
     dtype: int64
   splits:
   - name: train
-    num_bytes: 12968910
     num_examples: 7563
   - name: validation
-    num_bytes: 3141286
     num_examples: 1878
-  download_size: 0
-  dataset_size: 16110196
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
 ---
-Loading data
+
+# QA-KPWr
+
+Polish extractive question answering dataset built on passages from the Polish Corpus of Wrocław University of Technology (*Korpus Języka Polskiego Politechniki Wrocławskiej*, KPWr). Each example pairs a question with a context paragraph drawn from KPWr, 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      |    7,563 |
+| validation |    1,878 |
+
+- **Language**: Polish (`pl`)
+- **Task**: Extractive question answering (SQuAD 2.0-style, with unanswerable questions)
+- **Domain**: KPWr - mixed-domain, mixed-genre Polish texts
+- **Format**: One row per (question, context) pair
+
+## Features
+
+| Field           | Type                                                | Notes                                                                 |
+|-----------------|-----------------------------------------------------|-----------------------------------------------------------------------|
+| `question`      | `string`                                            | Question text in Polish                                               |
+| `context`       | `string`                                            | KPWr 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 (`KPWR`)                                            |
+| `context_id`    | `int64`                                             | Identifier shared by all questions on the same context                |
+
+## Loading
 
 ```python
 from datasets import load_dataset
 
-# If the dataset is gated/private, make sure you have run huggingface-cli login
-dataset = load_dataset("expansio/qa-kpwr")
-```
+ds = load_dataset("expansio/qa-kpwr")
+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 KPWr, originally distributed under [CC BY 3.0](https://creativecommons.org/licenses/by/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}
+}
+
+@inproceedings{broda-etal-2012-kpwr,
+  title     = {{KPW}r: Towards a Free Corpus of {P}olish},
+  author    = {Broda, Bartosz and Marci{\'n}czuk, Micha{\l} and Maziarz, Marek and Radziszewski, Adam and Wardy{\'n}ski, Adam},
+  booktitle = {Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)},
+  year      = {2012}
+}
+```
+
+## Maintainer
+
+[Expansio Software House](https://expans.io) in collaboration with [CLARIN-PL](https://clarin-pl.eu/).