Add README and manifest

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"
+  }
+}
+```

manifest.json

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+{
+  "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"
+  }
+}