
# 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 dataset
- `text`: court decision document in plain text
- `entities`: list of selected entities. Each entity contains:
  - `category_id`: integer identifier of the entity category
  - `category_str`: human-friendly category name in Czech (verbalizer)
  - `start`: index on which the entity starts in the source text
  - `end`: index on which the entity ends in the source text
  - `content`: entity content, it was created as `text[start:end]`
  - `entity_id`: unique entity string identifier
  - `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

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): 
```python3
{
  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](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.
The category names (verbalizers) were added by a Czech native speaker.


## Citation

Cite authors of the [original dataset](https://ufal.mff.cuni.cz/ccdd):
```bibtex
@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}
}
```
task_categories:token-classification task_ids:named-entity-recognition annotations_creators:expert-generated language_creators:other multilinguality:monolingual size_categories:n<1K source_datasets:original language:cs license:cc-by-nc-sa-4.0 czech NER court decisions region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["other"], "language": ["cs"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "Czech Court Decisions NER", "tags": ["czech NER", "court decisions"]}
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-other #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-Czech #license-cc-by-nc-sa-4.0 #czech NER #court decisions #region-us 


# 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 dataset
- 'text': court decision document in plain text
- 'entities': list of selected entities. Each entity contains:
  - 'category_id': integer identifier of the entity category
  - 'category_str': human-friendly category name in Czech (verbalizer)
  - 'start': index on which the entity starts in the source text
  - 'end': index on which the entity ends in the source text
  - 'content': entity content, it was created as 'text[start:end]'
  - 'entity_id': unique entity string identifier
  - '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

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): 



## 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.


Cite authors of the original dataset:

# 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 dataset
- 'text': court decision document in plain text
- 'entities': list of selected entities. Each entity contains:
  - 'category_id': integer identifier of the entity category
  - 'category_str': human-friendly category name in Czech (verbalizer)
  - 'start': index on which the entity starts in the source text
  - 'end': index on which the entity ends in the source text
  - 'content': entity content, it was created as 'text[start:end]'
  - 'entity_id': unique entity string identifier
  - '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

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): ## 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.


Cite authors of the original dataset:
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-other #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-Czech #license-cc-by-nc-sa-4.0 #czech NER #court decisions #region-us 
 # 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 dataset
- 'text': court decision document in plain text
- 'entities': list of selected entities. Each entity contains:
  - 'category_id': integer identifier of the entity category
  - 'category_str': human-friendly category name in Czech (verbalizer)
  - 'start': index on which the entity starts in the source text
  - 'end': index on which the entity ends in the source text
  - 'content': entity content, it was created as 'text[start:end]'
  - 'entity_id': unique entity string identifier
  - '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

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): ## 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.


Cite authors of the original dataset:
passage: TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-other #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-Czech #license-cc-by-nc-sa-4.0 #czech NER #court decisions #region-us 
# 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 dataset
- 'text': court decision document in plain text
- 'entities': list of selected entities. Each entity contains:
  - 'category_id': integer identifier of the entity category
  - 'category_str': human-friendly category name in Czech (verbalizer)
  - 'start': index on which the entity starts in the source text
  - 'end': index on which the entity ends in the source text
  - 'content': entity content, it was created as 'text[start:end]'
  - 'entity_id': unique entity string identifier
  - '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

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):