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