README.md

---
language:
- ace
- bg
- da
- fur
- ilo
- lij
- mzn
- qu
- su
- vi
- af
- bh
- de
- fy
- io
- lmo
- nap
- rm
- sv
- vls
- als
- bn
- diq
- ga
- is
- ln
- nds
- ro
- sw
- vo
- am
- bo
- dv
- gan
- it
- lt
- ne
- ru
- szl
- wa
- an
- br
- el
- gd
- ja
- lv
- nl
- rw
- ta
- war
- ang
- bs
- eml
- gl
- jbo
- nn
- sa
- te
- wuu
- ar
- ca
- en
- gn
- jv
- mg
- no
- sah
- tg
- xmf
- arc
- eo
- gu
- ka
- mhr
- nov
- scn
- th
- yi
- arz
- cdo
- es
- hak
- kk
- mi
- oc
- sco
- tk
- yo
- as
- ce
- et
- he
- km
- min
- or
- sd
- tl
- zea
- ast
- ceb
- eu
- hi
- kn
- mk
- os
- sh
- tr
- ay
- ckb
- ext
- hr
- ko
- ml
- pa
- si
- tt
- az
- co
- fa
- hsb
- ksh
- mn
- pdc
- ug
- ba
- crh
- fi
- hu
- ku
- mr
- pl
- sk
- uk
- zh
- bar
- cs
- hy
- ky
- ms
- pms
- sl
- ur
- csb
- fo
- ia
- la
- mt
- pnb
- so
- uz
- cv
- fr
- id
- lb
- mwl
- ps
- sq
- vec
- be
- cy
- frr
- ig
- li
- my
- pt
- sr
multilinguality:
- multilingual
size_categories:
- 10K<100k
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: WikiAnn
---

# Dataset Card for "tner/wikiann"

## Dataset Description

- **Repository:** [T-NER](https://github.com/asahi417/tner)
- **Paper:** [https://aclanthology.org/P17-1178/](https://aclanthology.org/P17-1178/)
- **Dataset:** WikiAnn
- **Domain:** Wikipedia
- **Number of Entity:** 3


### Dataset Summary
WikiAnn NER dataset formatted in a part of [TNER](https://github.com/asahi417/tner) project.
- Entity Types: `LOC`, `ORG`, `PER`

## Dataset Structure

### Data Instances
An example of `train` looks as follows.

```
{
    'tokens': ['I', 'hate', 'the', 'words', 'chunder', ',', 'vomit', 'and', 'puke', '.', 'BUUH', '.'],
    'tags': [6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6]
}
```

### Label ID
The label2id dictionary can be found at [here](https://huggingface.co/datasets/tner/btc/raw/main/dataset/label.json).
```python
{
    "B-LOC": 0,
    "B-ORG": 1,
    "B-PER": 2,
    "I-LOC": 3,
    "I-ORG": 4,
    "I-PER": 5,
    "O": 6
}
```

### Data Splits

|  name   |train|validation|test|
|---------|----:|---------:|---:|
|btc      | 6338|      1001|2000|

### Citation Information

```
@inproceedings{pan-etal-2017-cross,
    title = "Cross-lingual Name Tagging and Linking for 282 Languages",
    author = "Pan, Xiaoman  and
      Zhang, Boliang  and
      May, Jonathan  and
      Nothman, Joel  and
      Knight, Kevin  and
      Ji, Heng",
    booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P17-1178",
    doi = "10.18653/v1/P17-1178",
    pages = "1946--1958",
    abstract = "The ambitious goal of this work is to develop a cross-lingual name tagging and linking framework for 282 languages that exist in Wikipedia. Given a document in any of these languages, our framework is able to identify name mentions, assign a coarse-grained or fine-grained type to each mention, and link it to an English Knowledge Base (KB) if it is linkable. We achieve this goal by performing a series of new KB mining methods: generating {``}silver-standard{''} annotations by transferring annotations from English to other languages through cross-lingual links and KB properties, refining annotations through self-training and topic selection, deriving language-specific morphology features from anchor links, and mining word translation pairs from cross-lingual links. Both name tagging and linking results for 282 languages are promising on Wikipedia data and on-Wikipedia data.",
}
```