Update README.md

README.md

@@ -1,9 +1,22 @@
----
-license: cc-by-nc-sa-3.0
----
+---
+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