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---
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"
---
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.
Here is the tag-to-label mapping:
```
{0: 'O', 1: 'LOC', 2: 'PER', 3: 'MISC', 4: 'ORG'}
```
```
@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}
}
``` |