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Emotion Classification datasets
archive 2025-07-2827 datasets carry the task tag "Emotion Classification" (the task itself: Emotion Classification), ordered by the archive's paper count. Page 1 of 1: 27 shown of 27. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
All 12,172
Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52Emotion Classification 27
Emotion Classification datasets 1–27 of 27
CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI) is the largest dataset of sentence-level sentiment analysis and emotion recognition in online videos.
190 papers · 3 benchmarks
ROCStories is a collection of commonsense short stories.
152 papers · 2 benchmarks
MSP-IMPROV (MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception)
We present the MSP-IMPROV corpus, a multimodal emotional database, where the goal is to have control over lexical content and emotion while also promoting naturalness in the recordings.
70 papers · 1 benchmark
ISEAR (International Survey on Emotion Antecedents and Reactions)
Over a period of many years during the 1990s, a large group of psychologists all over the world collected data in the ISEAR project, directed by Klaus R.
55 papers · 0 benchmarks
EmotionLines contains a total of 29245 labeled utterances from 2000 dialogues.
44 papers · 1 benchmark
EmoBank is a corpus of 10k English sentences balancing multiple genres, annotated with dimensional emotion metadata in the Valence-Arousal-Dominance (VAD) representation format.
32 papers · 0 benchmarks
RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song)
The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) contains 7,356 files (total size: 24.8 GB).
27 papers · 6 benchmarks
EMOPIA (A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation)
EMOPIA (pronounced ‘yee-mò-pi-uh’) dataset is a shared multi-modal (audio and MIDI) database focusing on perceived emotion in pop piano music, to facilitate research on various tasks related to music emotion.
23 papers · 0 benchmarks
Story Commonsense is a new large-scale dataset with rich low-level annotations and establishes baseline performance on several new tasks, suggesting avenues for future research.
13 papers · 0 benchmarks
The DEAP dataset consists of two parts: - The ratings from an online self-assessment where 120 one-minute extracts of music videos were each rated by 14-16 volunteers based on arousal, valence and dominance.
11 papers · 1 benchmark
ArmanEmo is a human-labeled emotion dataset of more than 7000 Persian sentences labeled for seven categories.
6 papers · 1 benchmark
This repository contains a financial-domain-focused dataset for financial sentiment/emotion classification and stock market time series prediction.
3 papers · 0 benchmarks
AVCAffe (A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work)
We introduce AVCAffe, the first Audio-Visual dataset consisting of Cognitive load and Affect attributes.
2 papers · 0 benchmarks
EmoPars is a dataset of 30,000 Persian Tweets labeled with Ekman’s six basic emotions (Anger, Fear, Happiness, Sadness, Hatred, and Wonder).
2 papers · 0 benchmarks
ReactionGIF is an affective dataset of 30K tweets which can be used for tasks like induced sentiment prediction and multilabel classification of induced emotions.
2 papers · 0 benchmarks
Overview nEMO is a simulated dataset of emotional speech in the Polish language.
2 papers · 0 benchmarks
BanglaEmotion (BanglaEmotion: A Benchmark Dataset for Bangla Textual Emotion Analysis)
BanglaEmotion is a manually annotated Bangla Emotion corpus, which incorporates the diversity of fine-grained emotion expressions in social-media text.
1 paper · 0 benchmarks
1 paper · 2 benchmarks
A corpus designed in analogy to the well-established English ISEAR emotion dataset.
1 paper · 0 benchmarks
MFA (Many Faces of Anger)
The MFA (Many Faces of Anger) dataset includes 200 in-the-wild videos from North American and Persian cultures with fine-grained labels of: 'annoyed', 'anger', 'disgust', 'hatred' and 'furious' and 13 related emojis.
1 paper · 1 benchmark
1 paper · 0 benchmarks
The Sequence labellIng evaLuatIon benChmark fOr spoken laNguagE (SILICONE) benchmark is a collection of resources for training, evaluating, and analyzing natural language understanding systems specifically designed for spoken language.
1 paper · 1 benchmark
ShortPersianEmo is a new data set for emotion recognition in Persian short texts.
1 paper · 1 benchmark
VNEMOS (Vietnamese Speech Emotion Dataset)
This research introduces the dataset that we created to test voice emotional recognition models with Vietnamese data.
1 paper · 0 benchmarks
This dataset consists of 600+ items of faces with different emotions and mixed races that are ready to use for optimizing the accuracy of computer vision models.
0 papers · 0 benchmarks
L-SVD (Large-Scale Selfie Video Dataset (L-SVD): A Benchmark for Emotion Recognition)
Welcome to L-SVD L-SVD is an extensive and rigorously curated video dataset aimed at transforming the field of emotion recognition.
0 papers · 0 benchmarks
PhyMER (PhyMER: Physiological Dataset for Multimodal Emotion Recognition With Personality as a Context)
A physiological signal dataset with multiple physiological signals collected from 30 participants.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.