---
license: cc-by-nc-sa-3.0
task_categories:
- question-answering
language:
- cs
---
This dataset is converted from [fewshot-goes-multilingual/cs_czech-named-entity-corpus_2.0](https://huggingface.co/datasets/fewshot-goes-multilingual/cs_czech-named-entity-corpus_2.0) version of Czech Named Entity Corpus 2.0 ([project info](https://ufal.mff.cuni.cz/cnec/cnec2.0), [link to data](https://lindat.mff.cuni.cz/repository/xmlui/handle/11858/00-097C-0000-0023-1B22-8)) using script [convert_czner.py](https://huggingface.co/datasets/CZLC/cnec_2.0/blob/main/convert_czner.py).
For longer texts (>200 ws tokens), the script samples text around the selected entity. It always follows form "`<initial 20 ws tokens>, ..., <sampled window>`".
Then it extracts category name for the entity, all occurences of such entity in the text, and creates simple json representation. For example:
```json
{"label": "komerční instituce", 
"answers": ["Škoda Auto", "Unipetrolem", "ČEZ"], 
"text": "S loňskými tržbami přesahujícími 130,2 miliardy korun se Škoda Auto umístila před Unipetrolem , který měl tržby 74,5 miliardy korun , a ČEZ s tržbami 53,2 miliardy korun ."}
```



Dataset size:
```
train 9315
test 10878
```

## Citation
In case you are using the dataset, please cite the original authors
```bibtex
 @misc{11858/00-097C-0000-0023-1B22-8,
 title = {Czech Named Entity Corpus 2.0},
 author = {{\v S}ev{\v c}{\'{\i}}kov{\'a}, Magda and {\v Z}abokrtsk{\'y}, Zden{\v e}k and Strakov{\'a}, Jana and Straka, Milan},
 url = {http://hdl.handle.net/11858/00-097C-0000-0023-1B22-8},
 note = {{LINDAT}/{CLARIAH}-{CZ} digital library at the Institute of Formal and Applied Linguistics ({{\'U}FAL}), Faculty of Mathematics and Physics, Charles University},
 copyright = {Attribution-{NonCommercial}-{ShareAlike} 3.0 Unported ({CC} {BY}-{NC}-{SA} 3.0)},
 year = {2014} }
```