MER_feat / README.md
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---
license: mit
task_categories:
- feature-extraction
language:
- en
- zh
tags:
- mer2026
- emotion-recognition
- multimodal
---
# MER_feat
Extracted MER2026 features and local experiment results for Track 1 / Track 2.
## Layout
- `features/`: precomputed UTT-level features used by official MER2026 Track1 baselines
- `results/track1/`: saved CV runs and checkpoints summaries
- `results/track2/`: Track2 P0 outputs (eval, normalizer, bias diagnosis, text-clue baseline)
- `manifest.json`: file inventory and sizes
## Feature sets
- `chinese-hubert-large-UTT`
- `chinese-roberta-wwm-ext-large-UTT`
- `clip-vit-large-patch14-UTT`
- `emotion2vec-UTT`
- `whisper-large-v3-UTT`
- `EVA-ViT-G`
- `eva_vit_g-UTT`
## Notes
- Raw audio/video are **not** included.
- Feature files are typically `.npy` per utterance.
- For local usage, point `PATH_TO_FEATURES['MER2026']` to the downloaded `features/` folder.
## Manifest
```json
{
"repo": "NZC415/MER_feat",
"generated_at": "2026-05-29T15:45:41.177685+00:00",
"features": {
"chinese-hubert-large-UTT": {
"path": "features/chinese-hubert-large-UTT",
"bytes": 124164480,
"files": 29395
},
"chinese-roberta-wwm-ext-large-UTT": {
"path": "features/chinese-roberta-wwm-ext-large-UTT",
"bytes": 125213056,
"files": 29395
},
"clip-vit-large-patch14-UTT": {
"path": "features/clip-vit-large-patch14-UTT",
"bytes": 94064000,
"files": 29395
},
"emotion2vec-UTT": {
"path": "features/emotion2vec-UTT",
"bytes": 124164480,
"files": 29395
},
"whisper-large-v3-UTT": {
"path": "features/whisper-large-v3-UTT",
"bytes": 4819839360,
"files": 29395
},
"EVA-ViT-G": {
"path": "features/EVA-ViT-G",
"bytes": 10599131520,
"files": 29395
},
"eva_vit_g-UTT": {
"path": "features/eva_vit_g-UTT",
"bytes": 10599131520,
"files": 29395
}
},
"results": {
"track1": [
"saved_track1_baseline_extra",
"saved_track1_baseline_extra-unimodal",
"saved_track1_baseline_extra_emotion2vec_UTT",
"saved_track1_baseline_extra_emotion2vec_UTT-unimodal",
"saved_track1_baseline_extra_whisper_large_v3_UTT",
"saved_track1_baseline_extra_whisper_large_v3_UTT-unimodal",
"saved_track1_baseline_official",
"saved_track1_baseline_official-unimodal",
"saved_track1_next_tri_emotion2vec_roberta_clip-trimodal",
"saved_track1_next_tri_hubert_roberta_eva-trimodal",
"saved_track1_next_tri_official_hubert_roberta_clip-trimodal",
"saved_track1_next_whisper_v3_more4-unimodal",
"saved_track1_stage2_emotion2vec_roberta_eva-trimodal",
"saved_track1_stage2_official_hubert_roberta_clip_more20-trimodal",
"saved_track1_stage2_top1_available_avt-multitop-others",
"saved_track1_stage2_whisper_roberta_clip-trimodal",
"saved_track1_stage3_official_hubert_roberta_clip_more25-trimodal"
],
"track2": "code/official/MERTools/MER2026/MER2026_Track2/outputs_track2_p0"
}
}
```