datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
short-text-labeled-emotion-classificationemotion_classification_reviews_kfold_10CAMEO-emotion-classification
CAMEO multilingual speech emotion classification (MTEB)
Speech emotion recognition across five languages, drawn from the CAMEO collection.
Labels index this list:
anger
fear
happiness
neutral
sadness
surprise
Source: amu-cai/CAMEO at revision 38e9e96, cc-by-nc-sa-4.0. Split by
speaker so no speaker appears in both train and test. Only the six emotions common
to every included language are kept. Audio is 16 kHz Opus.
Built by scripts/data/cameo_emotion/create_data.py in the… See the full description on the dataset page: https://huggingface.co/datasets/vnahata/CAMEO-emotion-classification.emotion_classification_reviews_kfold_by_sentiment_10task512_twitter_emotion_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task512_twitter_emotion_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… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task512_twitter_emotion_classification.task875_emotion_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task875_emotion_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/task875_emotion_classification.emotion-opinion-ind-classification
EmotionOpinion_ind_Classification
Deduplicated copy of kornwtp/emotion-opinion-ind-classification.
Splits
split
rows
train
7,018
Enhanced_Emotion_Classification_Dataset
Enhanced Emotion Classification Dataset (v2.0)
Dataset Description
This dataset is an enhanced version of the emotion classification dataset, including multiple sources of emotion data with Ekman emotion mapping. It contains a total of 240,426 samples across 7 emotion categories, with each sample labeled with its original data source.
Dataset Structure
The dataset is split into three parts:
Train: 186,619 samples (77.6%)
Validation: 31,086 samples (12.9%)… See the full description on the dataset page: https://huggingface.co/datasets/Urnisha/Enhanced_Emotion_Classification_Dataset.Emotion_classification
Unified Emotion & Mental Health Dataset (Balanced)
Dataset Summary
The Unified Emotion & Mental Health Dataset is a balanced, multi-source emotional text corpus designed for training and evaluating models in:
fine-grained emotion classification
sentiment analysis
mental-health aware NLP
emotional intensity prediction
It integrates and standardizes data from the following open datasets:
GoEmotions (Google Research)
Reddit Mental Health Data (anxiety, depression… See the full description on the dataset page: https://huggingface.co/datasets/mishraansh07/Emotion_classification.Enhanced_Emotion_Classification_Dataset
Enhanced Emotion Classification Dataset (v2.0)
Dataset Description
This dataset is an enhanced version of the emotion classification dataset, including multiple sources of emotion data with Ekman emotion mapping. It contains a total of 240,426 samples across 7 emotion categories, with each sample labeled with its original data source.
Dataset Structure
The dataset is split into three parts:
Train: 186,619 samples (77.6%)
Validation: 31,086 samples (12.9%)… See the full description on the dataset page: https://huggingface.co/datasets/jiangchengchengNLP/Enhanced_Emotion_Classification_Dataset.short-text-multi-labeled-emotion-classificationweibo-emotion-classification微博情感训练语料
emotion-opinion-ind-classificationtamil-audio-emotion-classificationlyrics-emotion-classificationIndonesian-Emotion-Classificationemotion_classification_reviewsemotion-opinion-ind-classificationazerbaijani_tweet_emotion_classificationThis dataset contains 150K (train + test) cleaned tweets in Azerbaijani. Tweets were collected in 2021, and filtered and cleaned by following these steps:
Initial data were collected by using twint library. The tool is currently deprecated, cannot be used with new Twitter.
On top of the already filtered data, I applied an additional filter to select Azerbaijani tweets with using fastText language identification model.
Tweets were classified into 3 emotion categories: {positive: 1, negative:… See the full description on the dataset page: https://huggingface.co/datasets/hajili/azerbaijani_tweet_emotion_classification.tamil-audio-emotion-classificationEnhanced_Emotion_Classification_Dataset
Enhanced Emotion Classification Dataset (v2.0)
Dataset Description
This dataset is an enhanced version of the emotion classification dataset, including multiple sources of emotion data with Ekman emotion mapping. It contains a total of 240,426 samples across 7 emotion categories, with each sample labeled with its original data source.
Dataset Structure
The dataset is split into three parts:
Train: 186,619 samples (77.6%)
Validation: 31,086 samples (12.9%)… See the full description on the dataset page: https://huggingface.co/datasets/sronquillo2/Enhanced_Emotion_Classification_Dataset.story_emotion_classificationemotion-text-classificationtest_emotion_classification_10k_qwen3_8B
Test_Emotion_Classification_10K_Qwen3_8B
A dataset of user-provided texts labeled with Ekman’s six basic emotions, filtered to only include entries where an emotion was detected.
Total examples: 4003
Examples per Emotion
Anger: 1180
Disgust: 96
Fear: 117
Joy: 1561
Sadness: 583
Surprise: 466
Dataset Structure
Column
Type
Description
text
string
The original input text.
emotion
string
One of joy, sadness, anger, fear, surprise, disgust.… See the full description on the dataset page: https://huggingface.co/datasets/AI-Roadmap/test_emotion_classification_10k_qwen3_8B.test_emotion_classification
Test_Emotion_Classification
A dataset of user-provided texts labeled with Ekman’s six basic emotions, filtered to only include entries where an emotion was detected.
Total examples: 3863
Examples per Emotion
Anger: 875
Disgust: 523
Fear: 232
Joy: 1443
Sadness: 492
Surprise: 298
Dataset Structure
Column
Type
Description
text
string
The original input text.
emotion
string
One of joy, sadness, anger, fear, surprise, disgust.
Usage… See the full description on the dataset page: https://huggingface.co/datasets/AI-Roadmap/test_emotion_classification.mteb-human-emotion-classification
Emotion Classification subset
Balanced per class; gold labels from official test.
emotion-classification-lite
Emotion Classification Lite
A compact dataset of emotion-labeled text samples for multi-class classification exercises.
aina-emotion-classificationflan_combined_task1532_daily_dialog_emotion_classificationflan_combined_task512_twitter_emotion_classification