# Dataset Card for "thainer-corpus-v2"

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**

- DATA - 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

Download: [HuggingFace Hub](https://huggingface.co/datasets/pythainlp/thainer-corpus-v2)

## Cite

> Wannaphong Phatthiyaphaibun. (2022). Thai NER 2.0 (2.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7761354

or BibTeX

```
@dataset{wannaphong_phatthiyaphaibun_2022_7761354,
  author       = {Wannaphong Phatthiyaphaibun},
  title        = {Thai NER 2.0},
  month        = sep,
  year         = 2022,
  publisher    = {Zenodo},
  version      = {2.0},
  doi          = {10.5281/zenodo.7761354},
  url          = {https://doi.org/10.5281/zenodo.7761354}
}
```
task_categories:token-classification language:th license:cc-by-3.0 region:us
{"language": ["th"], "license": "cc-by-3.0", "task_categories": ["token-classification"], "dataset_info": {"features": [{"name": "words", "sequence": "string"}, {"name": "ner", "sequence": {"class_label": {"names": {"0": "B-PERSON", "1": "I-PERSON", "2": "O", "3": "B-ORGANIZATION", "4": "B-LOCATION", "5": "I-ORGANIZATION", "6": "I-LOCATION", "7": "B-DATE", "8": "I-DATE", "9": "B-TIME", "10": "I-TIME", "11": "B-MONEY", "12": "I-MONEY", "13": "B-FACILITY", "14": "I-FACILITY", "15": "B-URL", "16": "I-URL", "17": "B-PERCENT", "18": "I-PERCENT", "19": "B-LEN", "20": "I-LEN", "21": "B-AGO", "22": "I-AGO", "23": "B-LAW", "24": "I-LAW", "25": "B-PHONE", "26": "I-PHONE", "27": "B-EMAIL", "28": "I-EMAIL", "29": "B-ZIP", "30": "B-TEMPERATURE", "31": "I-TEMPERATURE", "32": "B-DTAE", "33": "I-DTAE", "34": "B-DATA", "35": "I-DATA"}}}}], "splits": [{"name": "train", "num_bytes": 3736419, "num_examples": 3938}, {"name": "validation", "num_bytes": 1214580, "num_examples": 1313}, {"name": "test", "num_bytes": 1242609, "num_examples": 1313}], "download_size": 974230, "dataset_size": 6193608}}
TAGS
#task_categories-token-classification #language-Thai #license-cc-by-3.0 #region-us 

# Dataset Card for "thainer-corpus-v2"

Thai Named Entity Recognition Corpus

Home Page: URL

Training script and split data: URL

You can download .conll to train named entity model in URL

Size

- Train: 3,938 docs
- Validation: 1,313 docs
- Test: 1,313 Docs

Some data come from crowdsourcing between Dec 2018 - Nov 2019. URL

Domain
- News (It, politics, economy, social)
- PR (KKU news)
- general

Source
- I use sone data from Nutcha’s theses (URL and improve data by rechecking and adding more tagging.
- Twitter
- URL - It news
- URL
- URL

And more (the lists are lost.)

Tag

- DATA - 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

Download: HuggingFace Hub

## Cite

> Wannaphong Phatthiyaphaibun. (2022). Thai NER 2.0 (2.0) [Data set]. Zenodo. URL

or BibTeX


# Dataset Card for "thainer-corpus-v2"

Thai Named Entity Recognition Corpus

Home Page: URL

Training script and split data: URL

You can download .conll to train named entity model in URL

Size

- Train: 3,938 docs
- Validation: 1,313 docs
- Test: 1,313 Docs

Some data come from crowdsourcing between Dec 2018 - Nov 2019. URL

Domain
- News (It, politics, economy, social)
- PR (KKU news)
- general

Source
- I use sone data from Nutcha’s theses (URL and improve data by rechecking and adding more tagging.
- Twitter
- URL - It news
- URL
- URL

And more (the lists are lost.)

Tag

- DATA - 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

Download: HuggingFace Hub ## Cite

> Wannaphong Phatthiyaphaibun. (2022). Thai NER 2.0 (2.0) [Data set]. Zenodo. URL

or BibTeX
TAGS
#task_categories-token-classification #language-Thai #license-cc-by-3.0 #region-us 
 # Dataset Card for "thainer-corpus-v2"

Thai Named Entity Recognition Corpus

Home Page: URL

Training script and split data: URL

You can download .conll to train named entity model in URL

Size

- Train: 3,938 docs
- Validation: 1,313 docs
- Test: 1,313 Docs

Some data come from crowdsourcing between Dec 2018 - Nov 2019. URL

Domain
- News (It, politics, economy, social)
- PR (KKU news)
- general

Source
- I use sone data from Nutcha’s theses (URL and improve data by rechecking and adding more tagging.
- Twitter
- URL - It news
- URL
- URL

And more (the lists are lost.)

Tag

- DATA - 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

Download: HuggingFace Hub ## Cite

> Wannaphong Phatthiyaphaibun. (2022). Thai NER 2.0 (2.0) [Data set]. Zenodo. URL

or BibTeX
passage: TAGS
#task_categories-token-classification #language-Thai #license-cc-by-3.0 #region-us 
# Dataset Card for "thainer-corpus-v2"

Thai Named Entity Recognition Corpus

Home Page: URL

Training script and split data: URL

You can download .conll to train named entity model in URL

Size

- Train: 3,938 docs
- Validation: 1,313 docs
- Test: 1,313 Docs

Some data come from crowdsourcing between Dec 2018 - Nov 2019. URL

Domain
- News (It, politics, economy, social)
- PR (KKU news)
- general

Source
- I use sone data from Nutcha’s theses (URL and improve data by rechecking and adding more tagging.
- Twitter
- URL - It news
- URL
- URL

And more (the lists are lost.)

Tag

- DATA - 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

Download: HuggingFace Hub## Cite

> Wannaphong Phatthiyaphaibun. (2022). Thai NER 2.0 (2.0) [Data set]. Zenodo. URL

or BibTeX