Update README.md

README.md

@@ -60,4 +60,77 @@ configs:
     path: data/validation-*
   - split: test
     path: data/test-*
+license: cc-by-3.0
+task_categories:
+- token-classification
+language:
+- th
 ---
+# Thai NER v2.2
+
+Thai Named Entity Recognition Corpus
+
+Home Page: [https://pythainlp.github.io/Thai-NER/version/2](https://pythainlp.github.io/Thai-NER/version/2)
+
+Training script and split data: [https://zenodo.org/record/7761354](https://zenodo.org/record/7761354)
+
+**You can download .conll to train named entity model in [https://zenodo.org/record/7761354](https://zenodo.org/record/7761354).**
+
+**Size**
+
+- Train: 3,938 docs
+- Validation: 1,313 docs
+- Test: 1,313 Docs
+
+Some data come from crowdsourcing between Dec 2018 - Nov 2019. [https://github.com/wannaphong/thai-ner](https://github.com/wannaphong/thai-ner)
+
+**Domain**
+- News (It, politics, economy, social)
+- PR (KKU news)
+- general
+
+**Source**
+- I use sone data from Nutcha’s theses (http://pioneer.chula.ac.th/~awirote/Data-Nutcha.zip) and improve data by rechecking and adding more tagging.
+- Twitter
+- Blognone.com - It news
+- thaigov.go.th
+- kku.ac.th
+
+And more (the lists are lost.)
+
+**Tag**
+
+- DATE - date
+- TIME - time
+- EMAIL - email
+- LEN - length
+- LOCATION - Location
+- ORGANIZATION - Company / Organization
+- PERSON - Person name
+- PHONE - phone number
+- TEMPERATURE - temperature
+- URL - URL
+- ZIP - Zip code
+- MONEY - the amount
+- LAW - legislation
+- PERCENT - PERCENT
+
+
+## Cite
+
+> Wannaphong Phatthiyaphaibun. (2024). Thai NER 2.2 (2.2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10795907
+
+or BibTeX
+
+```
+@dataset{wannaphong_phatthiyaphaibun_2024_10795907,
+  author       = {Wannaphong Phatthiyaphaibun},
+  title        = {Thai NER 2.2},
+  month        = mar,
+  year         = 2024,
+  publisher    = {Zenodo},
+  version      = {2.2},
+  doi          = {10.5281/zenodo.10795907},
+  url          = {https://doi.org/10.5281/zenodo.10795907}
+}
+```