Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
json
Sub-tasks:
named-entity-recognition
Languages:
Czech
Size:
< 1K
License:
fewshot-goes-multilingual-admin
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README.md
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---
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---
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annotations_creators:
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- expert-generated
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language:
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- cs
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language_creators:
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- other
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license:
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- cc-by-nc-sa-4.0
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multilinguality:
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- monolingual
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pretty_name: Czech Court Decisions NER
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size_categories:
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- n<1K
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source_datasets:
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- original
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tags:
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- czech NER
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- court decisions
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task_categories:
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- token-classification
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task_ids:
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- named-entity-recognition
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---
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# Dataset Card for Czech Court Decisions NER
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## Dataset Description
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Czech Court Decisions NER is a dataset of 300 court decisions published by The Supreme Court of the Czech Republic and the Constitutional Court of the Czech Republic.
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In the documents, 4 types of named entities are selected.
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## Dataset Features
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Each sample contains:
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- `filename`: file name in the original dataset
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- `text`: court decision document in plain text
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- `entities`: list of selected entities. Each entity contains:
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- `category_id`: integer identifier of the entity category
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- `category_str`: human-friendly category name in Czech (verbalizer)
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- `start`: index on which the entity starts in the source text
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- `end`: index on which the entity ends in the source text
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- `content`: entity content, it was created as `text[start:end]`
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- `entity_id`: unique entity string identifier
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- `refers_to`: some entities (mostly of category 'Reference na rozhodnutí soudu') refer to a specific other entity. `refers_to` attribute contains the `entity_id` of the referred entity
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The `entity_id` field was checked to be globally unique (across data samples and dataset splits.)
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## Entity categories
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The list of the recognized entities (`category_id`, `category_str` pairs):
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```python3
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{
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0: 'Soudní instituce',
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1: 'Reference na rozhodnutí soudu',
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2: 'Účinnost',
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3: 'Reference zákonu'
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}
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```
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## Dataset Source
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The dataset is a preprocessed adaptation of existing Czech Court Decisions Dataset [project info](https://ufal.mff.cuni.cz/ccdd), [link to data](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-2853). This adaptation contains (almost) same data, but converted to a convenient format and with stripped leaked xml-like tags in the texts.
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The category names (verbalizers) were added by a Czech native speaker.
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## Citation
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Cite authors of the [original dataset](https://ufal.mff.cuni.cz/ccdd):
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```bibtex
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title = {Czech Court Decisions Dataset},
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author = {Kr{\'{\i}}{\v z}, Vincent and Hladk{\'a}, Barbora},
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url = {http://hdl.handle.net/11234/1-2853},
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note = {{LINDAT}/{CLARIAH}-{CZ} digital library at the Institute of Formal and Applied Linguistics ({{\'U}FAL}), Faculty of Mathematics and Physics, Charles University},
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copyright = {Creative Commons - Attribution-{NonCommercial}-{ShareAlike} 4.0 International ({CC} {BY}-{NC}-{SA} 4.0)},
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year = {2014}
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}
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```
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