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Emotion Recognition in Conversation datasets

archive 2025-07-28

14 datasets carry the task tag "Emotion Recognition in Conversation" (the task itself: Emotion Recognition in Conversation), ordered by the archive's paper count. Page 1 of 1: 14 shown of 14. 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 Recognition in Conversation 14

Emotion Recognition in Conversation datasets 1–14 of 14

IEMOCAP (The Interactive Emotional Dyadic Motion Capture (IEMOCAP) Database)
Multimodal Emotion Recognition IEMOCAP The IEMOCAP dataset consists of 151 videos of recorded dialogues, with 2 speakers per session for a total of 302 videos across the dataset.
VideosAudioSpeech Emotion RecognitionEmotion Recognition in ConversationMultimodal Emotion Recognition
749 papers · 3 benchmarks
DailyDialog
DailyDialog is a high-quality multi-turn open-domain English dialog dataset.
TextsDialogText GenerationEmotion Recognition in Conversation
399 papers · 2 benchmarks
MELD (Multimodal EmotionLines Dataset)
Multimodal EmotionLines Dataset (MELD) has been created by enhancing and extending EmotionLines dataset.
VideosTextsSpeech Emotion RecognitionEmotion Recognition in ConversationFacial Expression RecognitionMultimodal Emotion Recognition
289 papers · 3 benchmarks
EmoryNLP
EmoryNLP comprises 97 episodes, 897 scenes, and 12,606 utterances, where each utterance is annotated with one of the seven emotions borrowed from the six primary emotions in the Willcox (1982)’s feeling wheel, sad, mad, scared, powerful,…
TextsAudioEmotion Recognition in Conversation
58 papers · 1 benchmark
SEMAINE
The SEMAINE videos dataset contains spontaneous data capturing the audiovisual interaction between a human and an operator undertaking the role of an avatar with four personalities: Poppy (happy), Obadiah (gloomy), Spike (angry) and…
ImagesVideos3DAudioEmotion Recognition in Conversation
54 papers · 1 benchmark
EmotionLines
EmotionLines contains a total of 29245 labeled utterances from 2000 dialogues.
TextsLanguage ModellingEmotion RecognitionEmotion Recognition in ConversationEmotion Classification
44 papers · 1 benchmark
EmoContext
EmoContext consists of three-turn English Tweets.
TextsEmotion Recognition in Conversation
42 papers · 1 benchmark
CMU-MOSI (Multimodal Corpus of Sentiment Intensity)
The Multimodal Corpus of Sentiment Intensity (CMU-MOSI) dataset is a collection of 2199 opinion video clips.
VideosTextsAudioEmotion Recognition in ConversationMultimodal Sentiment Analysis
16 papers · 2 benchmarks
CPED (Chinese Personalized and Emotional Dialogue)
We construct a dataset named CPED from 40 Chinese TV shows.
VideosTextsAudioEmotion RecognitionEmotion Recognition in ConversationDialogue GenerationMultimodal Emotion RecognitionDialogue Act ClassificationOpen-Domain Dialog+6 tasks
15 papers · 3 benchmarks
EmoWOZ
EmoWOZ is the first large-scale open-source dataset for emotion recognition in task-oriented dialogues.
TextsEmotion RecognitionEmotion Recognition in Conversation
10 papers · 2 benchmarks
Emotional Dialogue Acts
Emotional Dialogue Acts data contains dialogue act labels for existing emotion multi-modal conversational datasets.
TextsEmotion RecognitionDialogue UnderstandingEmotion Recognition in ConversationNatural Language UnderstandingDialogue Act ClassificationEmotion Recognition in Context+1 tasks
3 papers · 0 benchmarks
MaSaC_ERC
The E-MASAC Dataset is a collection of code-mixed conversations sourced from an Indian TV series, focusing on Hindi-English interactions.
TextsEmotion RecognitionEmotion Recognition in Conversation
2 papers · 1 benchmark
CANDOR Corpus (CANDOR = Conversation: A Naturalistic Dataset of Online Recordings)
The CANDOR corpus is a large, novel, multimodal corpus of 1,656 recorded conversations in spoken English.
ImagesVideosTextsTabularTime seriesNatural Language InferenceEmotion Recognition in ConversationNatural Language UnderstandingFacial Action Unit DetectionRecognizing Emotion Cause in ConversationsVideo Emotion Recognition+3 tasks
1 paper · 0 benchmarks
KD-EmoR (Korean Drama Scene Transcript Dataset for Emotion Recognition in Conversations)
KD-EmoR is socio-behavioral emotion dataset for emotion recognition in realistic conversation scenarios.
TextsEmotion Recognition in ConversationEmotion Recognition in Context
1 paper · 1 benchmark

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.