Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
json
Sub-tasks:
named-entity-recognition
Languages:
Turkish
Size:
10K - 100K
License:
| language: | |
| - tr | |
| license: | |
| - cc-by-sa-4.0 | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 10K<n<100K | |
| task_categories: | |
| - token-classification | |
| task_ids: | |
| - named-entity-recognition | |
| pretty_name: Turkish-WikiNER | |
| # Dataset Card for "turkish-nlp-suite/turkish-wikiNER" | |
| ## Dataset Description | |
| - **Repository:** [Turkish-WikiNER](https://github.com/turkish-nlp-suite/Turkish-Wiki-NER-Dataset) | |
| - **Paper:** [ACL link]() | |
| - **Dataset:** Turkish-WikiNER | |
| - **Domain:** Wiki | |
| - **Number of Labels:** 18 | |
| ### Dataset Summary | |
| Turkish NER dataset from Wikipedia sentences. 20.000 sentences are sampled and re-annotated from [Kuzgunlar NER dataset](https://data.mendeley.com/datasets/cdcztymf4k/1). | |
| Annotations are done by [Co-one](https://co-one.co/). Many thanks to them for their contributions. This dataset is also used in our brand new spaCy Turkish packages. | |
| ### Dataset Instances | |
| An instance of this dataset looks as follows: | |
| ``` | |
| { | |
| "tokens": ["Duygu", "eve", "gitti", "."], | |
| "tags": ["B-PERSON", "O", "O", "O"] | |
| } | |
| ``` | |
| ### Labels | |
| - CARDINAL | |
| - DATE | |
| - EVENT | |
| - FAC | |
| - GPE | |
| - LANGUAGE | |
| - LAW | |
| - LOC | |
| - MONEY | |
| - NORP | |
| - ORDINAL | |
| - ORG | |
| - PERCENT | |
| - PERSON | |
| - PRODUCT | |
| - QUANTITY | |
| - TIME | |
| - TITLE | |
| - WORK_OF_ART | |
| ### Data Split | |
| | name |train|validation|test| | |
| |---------|----:|---------:|---:| | |
| |Turkish-WikiNER|18000| 1000|1000| | |
| ### Citation | |
| Coming soon | |