WikiNER is a multilingual silver-standard annotated NER dataset. It consists in a late-2010 snapshot of Wikipedia in nine languages. Hyperlinks referring to persons, locations or organizations were automatically annotated.
![image/png](https://cdn-uploads.huggingface.co/production/uploads/61e98283b0ea9f3bf6bedd5e/9w3QFsP_TB8K7oncKspOS.png)
```
@Article{nothman2012:artint:wikiner,
  author = {Joel Nothman and Nicky Ringland and Will Radford and Tara Murphy and James R. Curran},
  title = {Learning multilingual named entity recognition from {Wikipedia}},
  journal = {Artificial Intelligence},
  publisher = {Elsevier},
  volume = {194},
  pages = {151--175},
  year = {2012},
  doi = {10.1016/j.artint.2012.03.006},
  url = {http://dx.doi.org/10.1016/j.artint.2012.03.006}
}
```
region:us
{"configs": [{"config_name": "en", "data_files": [{"split": "train", "path": "data/en/train.parquet"}, {"split": "test", "path": "data/en/test.parquet"}]}, {"config_name": "fr", "data_files": [{"split": "train", "path": "data/fr/train.parquet"}, {"split": "test", "path": "data/fr/test.parquet"}]}, {"config_name": "es", "data_files": [{"split": "train", "path": "data/es/train.parquet"}, {"split": "test", "path": "data/es/test.parquet"}]}, {"config_name": "de", "data_files": [{"split": "train", "path": "data/de/train.parquet"}, {"split": "test", "path": "data/de/test.parquet"}]}, {"config_name": "it", "data_files": [{"split": "train", "path": "data/it/train.parquet"}, {"split": "test", "path": "data/it/test.parquet"}]}, {"config_name": "ru", "data_files": [{"split": "train", "path": "data/ru/train.parquet"}, {"split": "test", "path": "data/ru/test.parquet"}]}, {"config_name": "pl", "data_files": [{"split": "train", "path": "data/pl/train.parquet"}, {"split": "test", "path": "data/pl/test.parquet"}]}, {"config_name": "pt", "data_files": [{"split": "train", "path": "data/pt/train.parquet"}, {"split": "test", "path": "data/pt/test.parquet"}]}]}
TAGS
#region-us 

WikiNER is a multilingual silver-standard annotated NER dataset. It consists in a late-2010 snapshot of Wikipedia in nine languages. Hyperlinks referring to persons, locations or organizations were automatically annotated.
!image/png

TAGS
#region-us 

passage: TAGS
#region-us 
