README.md

---
license: apache-2.0
language: 
- ind
- jav
- min
- sun
- ace
- zlm
- mya
- tgl
- tha
- vie
- khm
pretty_name: Wikiann
task_categories: 
- named-entity-recognition
tags: 
- named-entity-recognition
---

The wikiann dataset contains NER tags with labels from O (0), B-PER (1), I-PER (2), B-ORG (3), I-ORG (4), B-LOC (5), I-LOC (6). The Indonesian subset is used.
WikiANN (sometimes called PAN-X) is a multilingual named entity recognition dataset consisting of Wikipedia articles
 annotated with LOC (location), PER (person), and ORG (organisation)
 tags in the IOB2 format. This version corresponds to the balanced train, dev, and test splits of
Rahimi et al. (2019), and uses the following subsets from the original WikiANN corpus

Language	WikiAnn	ISO 639-3
Indonesian	id	ind
Javanese	jv	jav
Minangkabau	min	min
Sundanese	su	sun
Acehnese	ace	ace
Malay	ms	zlm
Banyumasan	map-bms	map-bms
Myanmar my mya
Tagalog tl tgl
Thailand th tha
Vietnam vi vie
Khmer km khm




## Languages

ind, jav, min, sun, ace, zlm, map-bms, mya, tgl, tha, vie, khm

## Supported Tasks

Named Entity Recognition

## Dataset Usage
### Using `datasets` library
```
from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/wikiann", trust_remote_code=True)
```
### Using `seacrowd` library
```import seacrowd as sc
# Load the dataset using the default config
dset = sc.load_dataset("wikiann", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("wikiann"))
# Load the dataset using a specific config
dset = sc.load_dataset_by_config_name(config_name="<config_name>")
```

More details on how to load the `seacrowd` library can be found [here](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).


## Dataset Homepage

[https://github.com/afshinrahimi/mmner](https://github.com/afshinrahimi/mmner)

## Dataset Version

Source: 1.1.0. SEACrowd: 2024.06.20.

## Dataset License

Apache license 2.0 (apache-2.0)

## Citation

If you are using the **Wikiann** dataloader in your work, please cite the following:
```
@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://www.aclweb.org/anthology/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.",
}
@inproceedings{rahimi-etal-2019-massively,
    title = "Massively Multilingual Transfer for {NER}",
    author = "Rahimi, Afshin  and
      Li, Yuan  and
      Cohn, Trevor",
    booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/P19-1015",
    pages = "151--164",
}


@article{lovenia2024seacrowd,
    title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, 
    author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya},
    year={2024},
    eprint={2406.10118},
    journal={arXiv preprint arXiv: 2406.10118}
}

```