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Emotion Recognition in Context datasets

archive 2025-07-28

6 datasets carry the task tag "Emotion Recognition in Context" (the task itself: Emotion Recognition in Context), ordered by the archive's paper count. Page 1 of 1: 6 shown of 6. 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

Emotion Recognition in Context datasets 1–6 of 6

EMOTIC (EMOTIons in Context)
The EMOTIC dataset, named after EMOTions In Context, is a database of images with people in real environments, annotated with their apparent emotions.
38 papers · 2 benchmarks
BoLD (Body Language Dataset)
Yu Luo, Jianbo Ye, Reginald B.
14 papers · 1 benchmark
Jiyoung Lee, Seungryong Kim, Sunok Kim, Jungin Park, Kwanghoon Sohn; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019, pp.
5 papers · 2 benchmarks
Emotional Dialogue Acts data contains dialogue act labels for existing emotion multi-modal conversational datasets.
3 papers · 0 benchmarks
13,201 clips from 79 TV shows.
1 paper · 2 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.
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.