Dataset Card for wisesight_sentiment

  Dataset Summary

Wisesight Sentiment Corpus: Social media messages in Thai language with sentiment label (positive, neutral, negative, question)

Released to public domain under Creative Commons Zero v1.0 Universal license. Labels: {"pos": 0, "neu": 1, "neg": 2, "q": 3} 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… See the full description on the dataset page: https://huggingface.co/datasets/pythainlp/wisesight_sentiment.

Dataset Card for Zombitx64 Sentiment Corpus Thai

This dataset card describes the "Zombitx64 Sentiment Corpus Thai," a large-scale, manually curated corpus for Thai sentiment analysis and token classification.

  Dataset Details





  Dataset Description

The Zombitx64 Sentiment Corpus Thai is a collection of Thai-language social media comments and posts, annotated for sentiment at the sentence or token level. The dataset covers a wide range of topics and emotional… See the full description on the dataset page: https://huggingface.co/datasets/ZombitX64/Wisesight-Sentiment-Thai.

WisesightSentimentClassification An MTEB dataset Massive Text Embedding Benchmark

Wisesight Sentiment Corpus: Social media messages in Thai language with sentiment label (positive, neutral, negative, question)

Task category t2c

Domains Social, News, Written Reference https://github.com/PyThaiNLP/wisesight-sentiment

  How to evaluate on this task

You can evaluate an embedding model on this dataset using the following code: import mteb

task =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/WisesightSentimentClassification.

SEA Sentiment Analysis

SEA Sentiment Analysis evaluates a model's ability to identify the sentiment polarity of a text. It is sampled from NusaX for Indonesian, Javanese, and Sundanese, IndicSentiment for Tamil, Wisesight Sentiment for Thai, and UIT-VSFC for Vietnamese.

  Supported Tasks and Leaderboards

SEA Sentiment Analysis is designed for evaluating chat or instruction-tuned large language models (LLMs). It is part of the SEA-HELM leaderboard from AI Singapore.… See the full description on the dataset page: https://huggingface.co/datasets/aisingapore/NLU-Sentiment-Analysis.