Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
Turkish
Size:
100K<n<1M
ArXiv:
License:
| 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 | |
| # 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. |