datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
NLU-Sentiment-Analysis
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.task196_sentiment140_answer_generation
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task196_sentiment140_answer_generation
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task196_sentiment140_answer_generation.kap-turkish-financial-sentiment
KAP Turkish Financial Sentiment Dataset
Türkçe KAP (Kamuyu Aydınlatma Platformu) bildirimleri için çok boyutlu finansal analiz dataseti.
Dataset Bilgileri
Özellik
Değer
Kayıt Sayısı
3,839
Dil
Türkçe
Kaynak
KAP Bildirimleri
Etiketleme
GPT-4 (Teacher Model)
Format
JSONL (Chat Messages)
Kullanım Alanları
Türkçe finansal sentiment analizi
KAP bildirimi sınıflandırma
Volatilite tahmini
İlişkili taraf işlemi tespiti
LLM fine-tuning (Qwen… See the full description on the dataset page: https://huggingface.co/datasets/finansai/kap-turkish-financial-sentiment.task1338_peixian_equity_evaluation_corpus_sentiment_classifier
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1338_peixian_equity_evaluation_corpus_sentiment_classifier
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1338_peixian_equity_evaluation_corpus_sentiment_classifier.Sentiment-Reasoning
Sentiment Reasoning for Healthcare
ACL 2025 Industry Track (Oral)
Khai-Nguyen Nguyen*, Khai Le-Duc*, Bach Phan Tat, Duy Le, Long Vo-Dang, Truong-Son Hy
*Equal contribution
Please press ⭐ button and/or cite papers if you feel helpful.
Sentiment Reasoning pipeline
Paper: Sentiment Reasoning for Healthcare
Code: https://github.com/leduckhai/Sentiment-Reasoning
Abstract:Transparency in AI healthcare decision-making is crucial. By incorporating rationales to explain reason… See the full description on the dataset page: https://huggingface.co/datasets/leduckhai/Sentiment-Reasoning.task195_sentiment140_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task195_sentiment140_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task195_sentiment140_classification.aiera-transcript-sentiment
Aiera Financial Sentiment Analysis Dataset
Description
This dataset focuses on the sentiment analysis of earnings call transcript segments. It provides pre-segmented extracts from earnings calls, transcribed by Aiera, paired with sentiment labels. Each segment in the transcript column is annotated with a sentiment label (sentiment), which can be "positive", "negative", or "neutral". This dataset is intended for training and evaluating models on their ability to discern… See the full description on the dataset page: https://huggingface.co/datasets/Aiera/aiera-transcript-sentiment.task819_pec_sentiment_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task819_pec_sentiment_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task819_pec_sentiment_classification.kap-turkish-financial-sentiment
KAP Turkish Financial Sentiment Dataset
Türkçe KAP (Kamuyu Aydınlatma Platformu) bildirimleri için çok boyutlu finansal analiz dataseti.
Dataset Bilgileri
Özellik
Değer
Kayıt Sayısı
3,839
Dil
Türkçe
Kaynak
KAP Bildirimleri
Etiketleme
GPT-4 (Teacher Model)
Format
JSONL (Chat Messages)
Kullanım Alanları
Türkçe finansal sentiment analizi
KAP bildirimi sınıflandırma
Volatilite tahmini
İlişkili taraf işlemi tespiti
LLM fine-tuning (Qwen… See the full description on the dataset page: https://huggingface.co/datasets/furkanyllmz/kap-turkish-financial-sentiment.task833_poem_sentiment_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task833_poem_sentiment_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task833_poem_sentiment_classification.wisesight_sentiment_promptwisesight_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: จำแนกประโยคต่อไปนี้เป็นคำถามหรือข้อความเชิงบวก/เป็นกลาง/เชิงลบ:\n{text}
targets: ประโยคที่กำหนดสามารถจำแนกข้อความได้เป็นข้อความ{category}
category
คำถาม: question
เชิงบวก: positive
เป็นกลาง: neutral
เชิงลบ: negative
Notebook that used create this dataset:… See the full description on the dataset page: https://huggingface.co/datasets/pythainlp/wisesight_sentiment_prompt.task1497_bengali_book_reviews_sentiment_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1497_bengali_book_reviews_sentiment_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1497_bengali_book_reviews_sentiment_classification.SentimentSynth
SentimentSynth Dataset
Overview
The SentimentSynth dataset is a collection of text samples expressing various sentiments, ranging from joy and excitement to stress and sadness. These samples are generated to simulate human-like expressions of emotions in different contexts.
Citation
If you use the SentimentSynth dataset in your work, please cite it as:
@misc {helpingai_2024,
author = { {HelpingAI} },
title = { SentimentSynth (Revision… See the full description on the dataset page: https://huggingface.co/datasets/OEvortex/SentimentSynth.IMDB_Sentiment
Dataset Card for "imdb"
Dataset Summary
Large Movie Review Dataset.
This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well.
Dataset Structure
Data Instances
plain_text
Size of downloaded dataset files: 84.13 MB
Size of the… See the full description on the dataset page: https://huggingface.co/datasets/Kwaai/IMDB_Sentiment.task1496_bengali_reviews_sentiment_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1496_bengali_reviews_sentiment_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1496_bengali_reviews_sentiment_classification.task1575_amazon_reviews_multi_sentiment_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1575_amazon_reviews_multi_sentiment_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1575_amazon_reviews_multi_sentiment_classification.bluesky-sentiment
Bluesky Sentiment Dataset Card
Overview
Bluesky Sentiment contains posts from the agentlans/bluesky dataset, annotated for six emotions:
happiness, sadness, fear, disgust, anger, and surprise.
Annotations were generated automatically using ChatGPT, providing a nuanced, multidimensional sentiment analysis beyond simple positive/negative labels.
The dataset covers posts in multiple languages.
The few-shot config contains annotations by google/gemma-3-4b-it with 10-shot… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/bluesky-sentiment.recipes_for_dishes_and_food_with_vectors_sentiment_ners
Description in English:
The dataset is collected from Russian-language Telegram channels with various food recipes,The dataset was collected and tagged automatically using the data collection and tagging service Scoutie.Try Scoutie and collect the same or another dataset using link for FREE.
Dataset fields:
taskId - task identifier in the Scouti service. text - main text. url - link to the publication. sourceLink - link to Telegram. subSourceLink - link to the… See the full description on the dataset page: https://huggingface.co/datasets/ScoutieAutoML/recipes_for_dishes_and_food_with_vectors_sentiment_ners.Emotional_Sentiment_AnalysisEmotional Sentiment Analysis Dataset for LLaMA-2 Fine-tuning
(The formatted version can be directly used for fine tuning which contain only the formatted text, while the dataset.csv contain all the text, emotion, response and the formatted text)
This dataset contains conversational data for training and fine-tuning language models for emotional sentiment analysis and response generation. The dataset includes user inputs, their corresponding emotional states, and tailored chatbot responses… See the full description on the dataset page: https://huggingface.co/datasets/VaisakhKrishna/Emotional_Sentiment_Analysis.youtube-comments-sentiment
YouTube Comments Sentiment Dataset
375 labeled YouTube comments for sentiment analysis and toxicity detection research.
Dataset Structure
Fields
comment: Raw comment text (includes emojis, informal language)
sentiment: positive / negative / neutral
toxic: true / false
video_category: Content category of the source video
Splits
train: 300 examples
test: 75 examples
TikTok_Crypto_Sentiment
📲 Example Dataset: TikTok Scraper Tool
👉 Start Scraping TikTok: TikTok Scraper Tool
✨ Key Features
⚡ Instant Transcription – Turn any TikTok video into an AI-ready transcript
🎯 Metadata – Get the title, language, description, and video hashtags
🔗 URL-Based Access – Just drop in a TikTok video URL to start scraping
🧩 LLM-Ready Output – Receive clean JSON ready for agents, RAG, or AI tools
💸 Free Tier – Use up to 100 queries during the beta period
💫 Easy… See the full description on the dataset page: https://huggingface.co/datasets/Gopher-Lab/TikTok_Crypto_Sentiment.task823_peixian-rtgender_sentiment_analysis
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task823_peixian-rtgender_sentiment_analysis
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task823_peixian-rtgender_sentiment_analysis.weather_russian_regions_with_vectors_sentiment_ner
Description in English:
The dataset is collected from Russian-language Telegram channels with weather forecasts in various regions of Russia,The dataset was collected and tagged automatically using the data collection and tagging service Scoutie.Try Scoutie and collect the same or another dataset using link FOR FREE.
Dataset fields:
taskId - task identifier in the Scoutie service. text - main text. url - link to the publication. sourceLink - link to Telegram.… See the full description on the dataset page: https://huggingface.co/datasets/ScoutieAutoML/weather_russian_regions_with_vectors_sentiment_ner.til-kk-sentiment-v1
til-kk-sentiment-v1
Мәтін тональділігін анықтау · Определение тональности текста · Text sentiment classification
Қазақша · Русский · English
Қазақша
til-kk-sentiment-v1 — оң, теріс немесе бейтарап тональділікті анықтауға арналған қазақ тіліндегі instruction-датасет. Көлемі — 2.2 МБ, жалпы саны — 6975 мысал. Деректер instruction fine-tune мен тиісті тапсырманы зерттеуге жарайды.
Құрамы мен форматы
Бөлік
Мысал саны
train
6837
validation… See the full description on the dataset page: https://huggingface.co/datasets/TilQazyna/til-kk-sentiment-v1.