

# Dataset Card for turkish_ner

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** http://arxiv.org/abs/1702.02363
- **Repository:** [Needs More Information]
- **Paper:** http://arxiv.org/abs/1702.02363
- **Leaderboard:** [Needs More Information]
- **Point of Contact:** erayyildiz@ktu.edu.tr

### Dataset Summary

Automatically annotated Turkish corpus for named entity recognition and text categorization using large-scale gazetteers. The constructed gazetteers contains approximately 300K entities with thousands of fine-grained entity types under 25 different domains.

### Supported Tasks and Leaderboards

[Needs More Information]

### Languages

Turkish

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

There's only the training set.

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

H. Bahadir Sahin, Caglar Tirkaz, Eray Yildiz, Mustafa Tolga Eren and Omer Ozan Sonmez

### Licensing Information

Creative Commons Attribution 4.0 International

### Citation Information

@InProceedings@article{DBLP:journals/corr/SahinTYES17,
  author    = {H. Bahadir Sahin and
               Caglar Tirkaz and
               Eray Yildiz and
               Mustafa Tolga Eren and
               Omer Ozan Sonmez},
  title     = {Automatically Annotated Turkish Corpus for Named Entity Recognition
               and Text Categorization using Large-Scale Gazetteers},
  journal   = {CoRR},
  volume    = {abs/1702.02363},
  year      = {2017},
  url       = {http://arxiv.org/abs/1702.02363},
  archivePrefix = {arXiv},
  eprint    = {1702.02363},
  timestamp = {Mon, 13 Aug 2018 16:46:36 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/SahinTYES17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

### Contributions

Thanks to [@merveenoyan](https://github.com/merveenoyan) for adding this dataset.
task_categories:token-classification task_ids:named-entity-recognition annotations_creators:machine-generated language_creators:expert-generated multilinguality:monolingual size_categories:100K<n<1M source_datasets:original language:tr license:cc-by-4.0 arxiv:1702.02363 region:us
{"annotations_creators": ["machine-generated"], "language_creators": ["expert-generated"], "language": ["tr"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "TurkishNer", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "domain", "dtype": {"class_label": {"names": {"0": "architecture", "1": "basketball", "2": "book", "3": "business", "4": "education", "5": "fictional_universe", "6": "film", "7": "food", "8": "geography", "9": "government", "10": "law", "11": "location", "12": "military", "13": "music", "14": "opera", "15": "organization", "16": "people", "17": "religion", "18": "royalty", "19": "soccer", "20": "sports", "21": "theater", "22": "time", "23": "travel", "24": "tv"}}}}, {"name": "ner_tags", "sequence": {"class_label": {"names": {"0": "O", "1": "B-PERSON", "2": "I-PERSON", "3": "B-ORGANIZATION", "4": "I-ORGANIZATION", "5": "B-LOCATION", "6": "I-LOCATION", "7": "B-MISC", "8": "I-MISC"}}}}], "splits": [{"name": "train", "num_bytes": 177658278, "num_examples": 532629}], "download_size": 204393976, "dataset_size": 177658278}}
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-machine-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Turkish #license-cc-by-4.0 #arxiv-1702.02363 #region-us 



# Dataset Card for turkish_ner

## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description

- Homepage: URL
- Repository: 
- Paper: URL
- Leaderboard: 
- Point of Contact: erayyildiz@URL

### Dataset Summary

Automatically annotated Turkish corpus for named entity recognition and text categorization using large-scale gazetteers. The constructed gazetteers contains approximately 300K entities with thousands of fine-grained entity types under 25 different domains.

### Supported Tasks and Leaderboards



### Languages

Turkish

## Dataset Structure

### Data Instances



### Data Fields



### Data Splits

There's only the training set.

## Dataset Creation

### Curation Rationale



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators

H. Bahadir Sahin, Caglar Tirkaz, Eray Yildiz, Mustafa Tolga Eren and Omer Ozan Sonmez

### Licensing Information

Creative Commons Attribution 4.0 International



@InProceedings@article{DBLP:journals/corr/SahinTYES17,
  author    = {H. Bahadir Sahin and
               Caglar Tirkaz and
               Eray Yildiz and
               Mustafa Tolga Eren and
               Omer Ozan Sonmez},
  title     = {Automatically Annotated Turkish Corpus for Named Entity Recognition
               and Text Categorization using Large-Scale Gazetteers},
  journal   = {CoRR},
  volume    = {abs/1702.02363},
  year      = {2017},
  url       = {URL
  archivePrefix = {arXiv},
  eprint    = {1702.02363},
  timestamp = {Mon, 13 Aug 2018 16:46:36 +0200},
  biburl    = {URL
  bibsource = {dblp computer science bibliography, URL}
}

### Contributions

Thanks to @merveenoyan for adding this dataset.
# Dataset Card for turkish_ner ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: URL
- Repository: 
- Paper: URL
- Leaderboard: 
- Point of Contact: erayyildiz@URL ### Dataset Summary

Automatically annotated Turkish corpus for named entity recognition and text categorization using large-scale gazetteers. The constructed gazetteers contains approximately 300K entities with thousands of fine-grained entity types under 25 different domains. ### Supported Tasks and Leaderboards ### Languages

Turkish ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits

There's only the training set. ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators

H. Bahadir Sahin, Caglar Tirkaz, Eray Yildiz, Mustafa Tolga Eren and Omer Ozan Sonmez ### Licensing Information

Creative Commons Attribution 4.0 International



@InProceedings@article{DBLP:journals/corr/SahinTYES17,
  author    = {H. Bahadir Sahin and
               Caglar Tirkaz and
               Eray Yildiz and
               Mustafa Tolga Eren and
               Omer Ozan Sonmez},
  title     = {Automatically Annotated Turkish Corpus for Named Entity Recognition
               and Text Categorization using Large-Scale Gazetteers},
  journal   = {CoRR},
  volume    = {abs/1702.02363},
  year      = {2017},
  url       = {URL
  archivePrefix = {arXiv},
  eprint    = {1702.02363},
  timestamp = {Mon, 13 Aug 2018 16:46:36 +0200},
  biburl    = {URL
  bibsource = {dblp computer science bibliography, URL}
} ### Contributions

Thanks to @merveenoyan for adding this dataset.
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-machine-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Turkish #license-cc-by-4.0 #arxiv-1702.02363 #region-us 
 # Dataset Card for turkish_ner ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: URL
- Repository: 
- Paper: URL
- Leaderboard: 
- Point of Contact: erayyildiz@URL ### Dataset Summary

Automatically annotated Turkish corpus for named entity recognition and text categorization using large-scale gazetteers. The constructed gazetteers contains approximately 300K entities with thousands of fine-grained entity types under 25 different domains. ### Supported Tasks and Leaderboards ### Languages

Turkish ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits

There's only the training set. ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators

H. Bahadir Sahin, Caglar Tirkaz, Eray Yildiz, Mustafa Tolga Eren and Omer Ozan Sonmez ### Licensing Information

Creative Commons Attribution 4.0 International



@InProceedings@article{DBLP:journals/corr/SahinTYES17,
  author    = {H. Bahadir Sahin and
               Caglar Tirkaz and
               Eray Yildiz and
               Mustafa Tolga Eren and
               Omer Ozan Sonmez},
  title     = {Automatically Annotated Turkish Corpus for Named Entity Recognition
               and Text Categorization using Large-Scale Gazetteers},
  journal   = {CoRR},
  volume    = {abs/1702.02363},
  year      = {2017},
  url       = {URL
  archivePrefix = {arXiv},
  eprint    = {1702.02363},
  timestamp = {Mon, 13 Aug 2018 16:46:36 +0200},
  biburl    = {URL
  bibsource = {dblp computer science bibliography, URL}
} ### Contributions

Thanks to @merveenoyan for adding this dataset.
passage: TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-machine-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Turkish #license-cc-by-4.0 #arxiv-1702.02363 #region-us 
# Dataset Card for turkish_ner## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions## Dataset Description

- Homepage: URL
- Repository: 
- Paper: URL
- Leaderboard: 
- Point of Contact: erayyildiz@URL### Dataset Summary

Automatically annotated Turkish corpus for named entity recognition and text categorization using large-scale gazetteers. The constructed gazetteers contains approximately 300K entities with thousands of fine-grained entity types under 25 different domains.### Supported Tasks and Leaderboards### Languages

Turkish## Dataset Structure### Data Instances### Data Fields### Data Splits

There's only the training set.## Dataset Creation### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases### Other Known Limitations## Additional Information