Datasets › EmoCause
EmoCause
EmoCause is a dataset of annotated emotion cause words in emotional situations from the EmpatheticDialogues valid and test set. The goal is to recognize emotion cause words in sentences by training only on sentence-level emotion labels without word-level labels (i.e., weakly-supervised emotion cause recognition).
EmoCause is based on the fact that humans do not recognize the cause of emotions with supervised learning on word-level cause labels. Thus, we do not provide a training set.
- Number of emotion categories: 32
- Average number of cause words per utterance: 2.3
- Total number of utterances: 4.6K (valid: 3.8K / test: 0.8K)
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Recognizing Emotion Cause in Conversations | EmoCause | Human Top-1 Recall 41.3 | Perspective-taking and Pragmatics for Generating... | skywalker023/focused-empathy | 6 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 2. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes | 1 | 6 | 18 Sep 2021 | ran 1 of 5 samples (4 unverified) |
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- EmoCause
1 variant name, as the archive lists them.
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