---
dataset_info:
  features:
  - name: tokens
    sequence: string
  - name: ner_tags
    sequence:
      class_label:
        names:
          '0': O
          '1': B-A
          '2': I-A
          '3': B-G
          '4': I-G
          '5': B-I
          '6': I-I
          '7': B-M
          '8': I-M
          '9': B-O
          '10': I-O
          '11': B-P
          '12': I-P
          '13': B-T
          '14': I-T
  - name: langs
    sequence: string
  - name: spans
    sequence: string
  splits:
  - name: train
    num_bytes: 4443265
    num_examples: 7142
  - name: validation
    num_bytes: 551456
    num_examples: 885
  - name: test
    num_bytes: 558227
    num_examples: 890
  download_size: 1223675
  dataset_size: 5552948
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
language:
- cs
---
# Dataset Card for Dataset Name

<!-- Provide a quick summary of the dataset. -->

This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

## Dataset Details

### Dataset Description

This dataset contains the CoNLL-based Extended Czech Named Entity Corpus 2.0 (CNEC 2.0_extended).
The dataset is a collection of Czech texts annotated with named entities.
The original CNEC 2.0 dataset contains 8993 Czech sentences with 35220 Czech named entities (train + validation + test).
The original corpus uses 58 entity types.
The extended version uses only 7 entity types and one additional type for non-entities:
- 'O' = Outside of a named entity
- 'B-A' = Beginning of a complex address number (Postal code, street number, even phone number)
- 'I-A' = Inside of a number in the address
- 'B-G' = Beginning of a geographical name
- 'I-G' = Inside of a geographical name
- 'B-I' = Beginning of an institution name
- 'I-I' = Inside of an institution name
- 'B-M' = Beginning of a media name (email, server, website, tv series, etc.)
- 'I-M' = Inside of a media name
- 'B-O' = Beginning of an artifact name (book, old movies, etc.)
- 'I-O' = Inside of an artifact name
- 'B-P' = Beginning of a person's name
- 'I-P' = Inside of a person's name
- 'B-T' = Beginning of a time expression
- 'I-T' = Inside of a time expression

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Repository:** http://hdl.handle.net/11234/1-3493
- **Paper [optional]:** https://link.springer.com/chapter/10.1007/978-3-642-40585-3_20
- **Demo [optional]:** [More Information Needed]

## Uses

<!-- Address questions around how the dataset is intended to be used. -->
This is a dataset created for fine-tuning LMs for the NER task

### Direct Use

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[More Information Needed]

### Out-of-Scope Use

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[More Information Needed]

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

[More Information Needed]

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

[More Information Needed]

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

[More Information Needed]

#### Who are the source data producers?

"http://hdl.handle.net/11234/1-3493"

[More Information Needed]

### Annotations [optional]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

#### Annotation process

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#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->

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#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

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## Bias, Risks, and Limitations

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### Recommendations

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

 @misc{11234/1-3493,
 title = {{CoNLL}-based Extended Czech Named Entity Corpus 2.0},
 author = {Konkol, Michal and Konop{\'{\i}}k, Miloslav and {\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/11234/1-3493},
 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} }

 @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} }

**APA:**

[More Information Needed]

## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->

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## More Information [optional]

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## Dataset Card Authors [optional]

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## Dataset Card Contact

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