emotion-analysis
EmotionAnalysisFinal
Dataset Card for EmotionAnalysisFinal
EmotionAnalysisFinal is the official dataset for SemEval-2025 Task 11, Track C: Cross-lingual Emotion Detection in Social Media Text.
This dataset comprises multilingual social media posts annotated for six basic emotions: anger, disgust, fear, joy, sadness, and surprise.
The annotation schema is multi-label.
Each language-specific configuration (subset) contains validation and test splits.
Split
Original Source
Notes
validation
dev… See the full description on the dataset page: https://huggingface.co/datasets/llama-lang-adapt/EmotionAnalysisFinal.EmotionAnalysis
EmotionAnalysisPlus
An MTEB dataset
Massive Text Embedding Benchmark
Multi-label emotion classification dataset for 28 languages released with the BRIGHTER project and SemEval-2025 Task 11.
Task category
t2c
Domains
Social, Written
Reference
https://github.com/emotion-analysis-project/SemEval2025-Task11
Source datasets:
llama-lang-adapt/EmotionAnalysisFinal
Dataset Preparation in MTEB
This repository is a staging copy of… See the full description on the dataset page: https://huggingface.co/datasets/mteb/EmotionAnalysis.EmotionAnalysis
EmotionAnalysisPlus
An MTEB dataset
Massive Text Embedding Benchmark
Multi-label emotion classification dataset for 28 languages released with the BRIGHTER project and SemEval-2025 Task 11.
Task category
t2c
Domains
Social, Written
Reference
https://github.com/emotion-analysis-project/SemEval2025-Task11
Source datasets:
llama-lang-adapt/EmotionAnalysisFinal
Dataset Preparation in MTEB
This repository is a staging copy of… See the full description on the dataset page: https://huggingface.co/datasets/KoseiUemura/EmotionAnalysis.emotion-analysis-8-categories-datasetemotion-analysisEmotionAnalysis
Dataset Card for EmotionAnalysisFinal
EmotionAnalysisFinal is the official dataset for SemEval-2025 Task 11, Track C: Cross-lingual Emotion Detection in Social Media Text.
This dataset comprises multilingual social media posts annotated for six basic emotions: anger, disgust, fear, joy, sadness, and surprise.
The annotation schema is multi-label.
Each language-specific configuration (subset) contains validation and test splits.
Split
Original Source
Notes
validation
dev… See the full description on the dataset page: https://huggingface.co/datasets/llama-lang-adapt/EmotionAnalysis.
