Datasets:
metadata
license: cc0-1.0
task_categories:
- text-generation
- text2text-generation
language:
- th
size_categories:
- 10K<n<100K
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
dtype: string
splits:
- name: train
num_bytes: 14852058
num_examples: 21628
- name: validation
num_bytes: 1652269
num_examples: 2404
- name: test
num_bytes: 1838253
num_examples: 2671
download_size: 3884924
dataset_size: 18342580
tags:
- instruct-fellow
pretty_name: i
wisesight_sentiment_prompt is the instruct fellow dataset for sentiment Thai text by prompt. It can use fine-tuning model.
- inputs: Prompt
- targets: Text targets that AI should answer.
Template
Inputs: จำแนกประโยคต่อไปนี้เป็นคำถามหรือข้อความที่มีความรู้สึกเชิงบวก ความรู้สึกเป็นกลาง และความรู้สึกเชิงลบ:\n{text}
targets: ประโยคที่กำหนดสามารถจำแนกได้เป็น{category}
category
- คำถาม: question
- ความรู้สึกเชิงบวก: positive
- ความรู้สึกเป็นกลาง: neutral
- ความรู้สึกเชิงลบ: negative
Notebook that used create this dataset: https://github.com/PyThaiNLP/support-aya-datasets/blob/main/sentiment-analysis/wisesight_sentiment.ipynb
Wisesight Sentiment Corpus: Social media messages in Thai language with sentiment category (positive, neutral, negative, question)
- Released to public domain under Creative Commons Zero v1.0 Universal license.
- Size: 26,737 messages
- Language: Central Thai
- Style: Informal and conversational. With some news headlines and advertisement.
- Time period: Around 2016 to early 2019. With small amount from other period.
- Domains: Mixed. Majority are consumer products and services (restaurants, cosmetics, drinks, car, hotels), with some current affairs.
See more: wisesight_sentiment.
PyThaiNLP