pythainlp/thainer-corpus-v2.2

---
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
splits:
- name: train
num_bytes: 3739947
num_examples: 4379
- name: validation
num_bytes: 1215876
num_examples: 1475
- name: test
num_bytes: 1243881
num_examples: 1472
download_size: 999069
dataset_size: 6199704
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
# Thai NER v2.2

Thai Named Entity Recognition Corpus

**You can download .conll to train named entity model in [https://zenodo.org/records/10795907](https://zenodo.org/records/10795907).**

**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}
}
```

原始信息汇总

泰国命名实体识别数据集 (Thai NER v2.2)

数据集概述

• 语言: 泰语
• 许可: CC-BY-3.0
• 任务类别: 标记分类

数据集信息

• 特征:

  • words: 字符串序列
  • ner: 序列，包含以下类别标签:
    • B-PERSON, I-PERSON
    • O
    • B-ORGANIZATION, I-ORGANIZATION
    • B-LOCATION, I-LOCATION
    • B-DATE, I-DATE
    • B-TIME, I-TIME
    • B-MONEY, I-MONEY
    • B-FACILITY, I-FACILITY
    • B-URL, I-URL
    • B-PERCENT, I-PERCENT
    • B-LEN, I-LEN
    • B-AGO, I-AGO
    • B-LAW, I-LAW
    • B-PHONE, I-PHONE
    • B-EMAIL, I-EMAIL
    • B-ZIP
    • B-TEMPERATURE, I-TEMPERATURE

• 数据分割:

  • 训练集: 4379个样本，3739947字节
  • 验证集: 1475个样本，1215876字节
  • 测试集: 1472个样本，1243881字节

• 数据集大小: 6199704字节

• 下载大小: 999069字节

配置

• 默认配置:
  • 训练集: data/train-*
  • 验证集: data/validation-*
  • 测试集: data/test-*

数据集来源

• 领域: 新闻、公关、一般
• 来源:
  • Nutcha的论文数据
  • Twitter
  • Blognone.com
  • thaigov.go.th
  • kku.ac.th

标签

• DATE, TIME, EMAIL, LEN, LOCATION, ORGANIZATION, PERSON, PHONE, TEMPERATURE, URL, ZIP, MONEY, LAW, PERCENT

引用

@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} }