datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ukr-emotions-binary
EmoBench-UA: Emotions Detection Dataset in Ukrainian Texts
EmoBench-UA: the first of its kind emotions detection dataset in Ukrainian texts. This dataset covers the detection of basic emotions: Joy, Anger, Fear, Disgust, Surprise, Sadness, or None.
Any text can contain any amount of emotion -- only one, several, or none at all. The texts with None emotions are the ones where the labels per emotions classes are 0.
Binary: specifically this dataset contains binary labels… See the full description on the dataset page: https://huggingface.co/datasets/ukr-detect/ukr-emotions-binary.emotion-dataset-20-emotions
20-Emotion Text Classification Dataset
A comprehensive dataset for fine-grained emotion classification containing 79,595 sentences labeled with 20 distinct emotions.
Dataset Description
This dataset is designed for training emotion classification models that can detect nuanced emotional states in text. Unlike basic sentiment analysis (positive/negative/neutral), this dataset provides fine-grained emotion labels that better capture the complexity of human emotions.… See the full description on the dataset page: https://huggingface.co/datasets/shreyaspullehf/emotion-dataset-20-emotions.social-behavior-emotionsukr-emotions-intensity
EmoBench-UA: Emotions Detection Dataset in Ukrainian Texts
EmoBench-UA: the first of its kind emotions detection dataset in Ukrainian texts. This dataset covers the detection of basic emotions: Joy, Anger, Fear, Disgust, Surprise, Sadness, or None.
Any text can contain any amount of emotion -- only one, several, or none at all. The texts with None emotions are the ones where the labels per emotions classes are 0.
Intensity: specifically this dataset contains intensity labels… See the full description on the dataset page: https://huggingface.co/datasets/ukr-detect/ukr-emotions-intensity.go_emotionsmultilingual_go_emotions
Overview:
This dataset is updated from on the go_emotions dataset
With the same labels, but add 5 new languages: Arabic, French, Spanish , Dutch, and Turkish.
Supported Tasks and Leaderboards
This dataset is intended for multi-class, multi-label emotion classification.
Languages
The data is in English Arabic, French, Spanish , Dutch, and Turkish
ukr-emotions-per-annotator
EmoBench-UA: Emotions Detection Dataset in Ukrainian Texts
EmoBench-UA: the first of its kind emotions detection dataset in Ukrainian texts. This dataset covers the detection of basic emotions: Joy, Anger, Fear, Disgust, Surprise, Sadness, or None.
Any text can contain any amount of emotion -- only one, several, or none at all. The texts with None emotions are the ones where the labels per emotions classes are 0.
Per annotator: specifically this dataset contains concatenated… See the full description on the dataset page: https://huggingface.co/datasets/ukr-detect/ukr-emotions-per-annotator.adcumen-viewer-emotions
AdCumen Viewer Emotions Dataset
Dataset for the paper "Decoding Viewer Emotions in Video Ads" by Alexey Antonov, Shravan Sampath Kumar, Jiefei Wei, William Headley, Orlando Wood, and Giovanni Montana, published in Nature Scientific Reports.
Code: github.com/gmontana/DecodingViewerEmotions
Model weights: dnamodel/tsam-viewer-emotions
Dataset Description
The dataset consists of 26,637 five-second video clips extracted from video advertisements, annotated for seven… See the full description on the dataset page: https://huggingface.co/datasets/dnamodel/adcumen-viewer-emotions.ru-izard-emotions
Dataset Card for RuIzardEmotions
Dataset Summary
The RuIzardEmotions dataset is a high-quality translation of the go-emotions dataset and the other emotion-detection dataset. It contains 30k Reddit comments labeled for 10 emotion categories (joy, sadness, anger, enthusiasm, surprise, disgust, fear, guilt, shame and neutral).
The datasets were translated using the accurate translator DeepL and additional processing. The idea for the dataset was inspired by the Izard's… See the full description on the dataset page: https://huggingface.co/datasets/Djacon/ru-izard-emotions.Unified_Dataset_with_Emotionsgoemotion-ekman-emotions
GoEmotions Ekman Emotions Dataset
Dataset Description
This dataset contains 10,000 text samples from Reddit comments mapped to the 7 basic Ekman emotions. It's derived from the original GoEmotions dataset and processed specifically for emotion classification research using Paul Ekman's fundamental emotion model.
Supported Tasks
Text Classification: Multi-class emotion classification
Sentiment Analysis: Fine-grained emotion detection
Psychology Research:… See the full description on the dataset page: https://huggingface.co/datasets/Frankhihi/goemotion-ekman-emotions.tweets_emotions_elections_colombiaGo-Emotions-Processedmany_emotions_finnish
Source:
This dataset is a machine translated version of the Many Emotions dataset available here: https://huggingface.co/datasets/ma2za/many_emotions
It was translated into Finnish using DeepL: https://www.deepl.com/translator
The Many Emotions dataset itself is a combination of three other emotion annotated datasets. These datasets are:
Daily Dialog: https://huggingface.co/datasets/daily_dialog
GoEmotions: https://huggingface.co/datasets/go_emotions
Emotion:… See the full description on the dataset page: https://huggingface.co/datasets/TurkuNLP/many_emotions_finnish.google_go_emotions_hindi_translatedemotion-dataset-20-emotions
20-Emotion Text Classification Dataset
A comprehensive dataset for fine-grained emotion classification containing 79,595 sentences labeled with 20 distinct emotions.
Dataset Description
This dataset is designed for training emotion classification models that can detect nuanced emotional states in text. Unlike basic sentiment analysis (positive/negative/neutral), this dataset provides fine-grained emotion labels that better capture the complexity of human emotions.… See the full description on the dataset page: https://huggingface.co/datasets/guruprasath017/emotion-dataset-20-emotions.Humman-Emotions-Dataset113-go-emotions-mergego_emotionsyoutube_music_top100_emotionsemotions-csvemotionsExplainableAI-emotions-DPO-ORPO-RLHF
Preference Dataset for Explainable Multi-Label Emotion Classification
This repository contains a preference dataset compiled to compare two model-generated responses for explaining multi-label emotion classifications on Tweets. The dataset is accompanied by human annotations indicating which response was preferred, based on a set of defined dimensions (clarity, correctness, helpfulness, and verbosity). The annotation guidelines are included to describe how these preference judgments… See the full description on the dataset page: https://huggingface.co/datasets/imhmdf/ExplainableAI-emotions-DPO-ORPO-RLHF.emotions
Dataset Name: emotions
Dataset Summary
This is a synthetic dataset generated using Gemma 4 31B for multiclass emotion classification.
It consists of short text snippets labeled across 6 distinct emotional categories.
The intended use is for testing multiclass text classification models.
Dataset Structure
Data Fields
text: A string containing the short text snippet.
label: A string representing the emotion.
Class Labels
The 6 classes… See the full description on the dataset page: https://huggingface.co/datasets/ergodic-flow/emotions.emotionsshahd882/distilbert-emotion-classifier
Go_Emotionsemotions
Synthetic Emotion Classification Dataset
Dataset Overview
This dataset contains 13,970 synthetic text samples labeled across 7 emotion classes:
Anger
Happiness
Sad
Surprise
Hate
Love
Fun
The data was generated using Mistral-7B, producing diverse and realistic short-to-medium length emotional expressions.It is suitable for benchmarking NLP models such as RNNs, BERT-based models, and LLMs in multi-class emotion detection.
Example
Text:
John… See the full description on the dataset page: https://huggingface.co/datasets/Prashanth-24/emotions.therapy_emotions_ruSynthetic dataset of therapeutic data on russian language. Created by Claude Sonnet 4.6. Suitable for fine tuning multilabel classification models.
events-emotionsEmotion_SinlLama