Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
Turkish
Size:
100K<n<1M
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: | |
| - extended|other-turkish_ner | |
| task_categories: | |
| - token-classification | |
| task_ids: | |
| - named-entity-recognition | |
| pretty_name: TurkishShrinkedNer | |
| dataset_info: | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: tokens | |
| sequence: string | |
| - name: ner_tags | |
| sequence: | |
| class_label: | |
| names: | |
| '0': O | |
| '1': B-academic | |
| '2': I-academic | |
| '3': B-academic_person | |
| '4': I-academic_person | |
| '5': B-aircraft | |
| '6': I-aircraft | |
| '7': B-album_person | |
| '8': I-album_person | |
| '9': B-anatomy | |
| '10': I-anatomy | |
| '11': B-animal | |
| '12': I-animal | |
| '13': B-architect_person | |
| '14': I-architect_person | |
| '15': B-capital | |
| '16': I-capital | |
| '17': B-chemical | |
| '18': I-chemical | |
| '19': B-clothes | |
| '20': I-clothes | |
| '21': B-country | |
| '22': I-country | |
| '23': B-culture | |
| '24': I-culture | |
| '25': B-currency | |
| '26': I-currency | |
| '27': B-date | |
| '28': I-date | |
| '29': B-food | |
| '30': I-food | |
| '31': B-genre | |
| '32': I-genre | |
| '33': B-government | |
| '34': I-government | |
| '35': B-government_person | |
| '36': I-government_person | |
| '37': B-language | |
| '38': I-language | |
| '39': B-location | |
| '40': I-location | |
| '41': B-material | |
| '42': I-material | |
| '43': B-measure | |
| '44': I-measure | |
| '45': B-medical | |
| '46': I-medical | |
| '47': B-military | |
| '48': I-military | |
| '49': B-military_person | |
| '50': I-military_person | |
| '51': B-nation | |
| '52': I-nation | |
| '53': B-newspaper | |
| '54': I-newspaper | |
| '55': B-organization | |
| '56': I-organization | |
| '57': B-organization_person | |
| '58': I-organization_person | |
| '59': B-person | |
| '60': I-person | |
| '61': B-production_art_music | |
| '62': I-production_art_music | |
| '63': B-production_art_music_person | |
| '64': I-production_art_music_person | |
| '65': B-quantity | |
| '66': I-quantity | |
| '67': B-religion | |
| '68': I-religion | |
| '69': B-science | |
| '70': I-science | |
| '71': B-shape | |
| '72': I-shape | |
| '73': B-ship | |
| '74': I-ship | |
| '75': B-software | |
| '76': I-software | |
| '77': B-space | |
| '78': I-space | |
| '79': B-space_person | |
| '80': I-space_person | |
| '81': B-sport | |
| '82': I-sport | |
| '83': B-sport_name | |
| '84': I-sport_name | |
| '85': B-sport_person | |
| '86': I-sport_person | |
| '87': B-structure | |
| '88': I-structure | |
| '89': B-subject | |
| '90': I-subject | |
| '91': B-tech | |
| '92': I-tech | |
| '93': B-train | |
| '94': I-train | |
| '95': B-vehicle | |
| '96': I-vehicle | |
| splits: | |
| - name: train | |
| num_bytes: 200728389 | |
| num_examples: 614515 | |
| download_size: 0 | |
| dataset_size: 200728389 | |
| # Dataset Card for turkish_shrinked_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:** https://www.kaggle.com/behcetsenturk/shrinked-twnertc-turkish-ner-data-by-kuzgunlar | |
| - **Repository:** [Needs More Information] | |
| - **Paper:** [Needs More Information] | |
| - **Leaderboard:** [Needs More Information] | |
| - **Point of Contact:** https://www.kaggle.com/behcetsenturk | |
| ### Dataset Summary | |
| Shrinked processed version (48 entity type) of the turkish_ner. | |
| Original turkish_ner dataset: 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. | |
| Shrinked entity types are: academic, academic_person, aircraft, album_person, anatomy, animal, architect_person, capital, chemical, clothes, country, culture, currency, date, food, genre, government, government_person, language, location, material, measure, medical, military, military_person, nation, newspaper, organization, organization_person, person, production_art_music, production_art_music_person, quantity, religion, science, shape, ship, software, space, space_person, sport, sport_name, sport_person, structure, subject, tech, train, vehicle | |
| ### Supported Tasks and Leaderboards | |
| [Needs More Information] | |
| ### Languages | |
| Turkish | |
| ## Dataset Structure | |
| ### Data Instances | |
| [Needs More Information] | |
| ### Data Fields | |
| [Needs More Information] | |
| ### Data Splits | |
| There's only the training set. | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [Needs More Information] | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [Needs More Information] | |
| #### Who are the source language producers? | |
| [Needs More Information] | |
| ### Annotations | |
| #### Annotation process | |
| [Needs More Information] | |
| #### Who are the annotators? | |
| [Needs More Information] | |
| ### Personal and Sensitive Information | |
| [Needs More Information] | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [Needs More Information] | |
| ### Discussion of Biases | |
| [Needs More Information] | |
| ### Other Known Limitations | |
| [Needs More Information] | |
| ## Additional Information | |
| ### Dataset Curators | |
| Behcet Senturk | |
| ### Licensing Information | |
| Creative Commons Attribution 4.0 International | |
| ### Citation Information | |
| [Needs More Information] | |
| ### Contributions | |
| Thanks to [@bhctsntrk](https://github.com/bhctsntrk) for adding this dataset. |