README.md

---
license: cc-by-sa-3.0
language: 
- tha
pretty_name: Vistec Tp Th 21
task_categories: 
- named-entity-recognition
tags: 
- named-entity-recognition
---

The largest social media domain datasets for Thai text processing (word segmentation, 
misspell correction and detection, and named-entity boundary) called "VISTEC-TP-TH-2021" or VISTEC-2021. 
VISTEC corpus contains 49,997 sentences with 3.39M words where the collection was manually annotated by 
linguists on four tasks, namely word segmentation, misspelling detection and correction, 
and named entity recognition.


## Languages

tha

## Supported Tasks

Named Entity Recognition

## Dataset Usage
### Using `datasets` library
```
from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/vistec_tp_th_21", trust_remote_code=True)
```
### Using `seacrowd` library
```import seacrowd as sc
# Load the dataset using the default config
dset = sc.load_dataset("vistec_tp_th_21", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("vistec_tp_th_21"))
# 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/mrpeerat/OSKut/tree/main/VISTEC-TP-TH-2021](https://github.com/mrpeerat/OSKut/tree/main/VISTEC-TP-TH-2021)

## Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

## Dataset License

Creative Commons Attribution Share Alike 3.0 (cc-by-sa-3.0)

## Citation

If you are using the **Vistec Tp Th 21** dataloader in your work, please cite the following:
```
@inproceedings{limkonchotiwat-etal-2021-handling,
    title = "Handling Cross- and Out-of-Domain Samples in {T}hai Word Segmentation",
    author = "Limkonchotiwat, Peerat  and
      Phatthiyaphaibun, Wannaphong  and
      Sarwar, Raheem  and
      Chuangsuwanich, Ekapol  and
      Nutanong, Sarana",
    booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.findings-acl.86",
    doi = "10.18653/v1/2021.findings-acl.86",
    pages = "1003--1016",
}


@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}
}

```