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MME-Emotion

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Initial release of MME-Emotion

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  1. .gitattributes +0 -58
  2. ER_Lab.json +0 -0
  3. ER_Lab.zip +3 -0
  4. ER_Wild.json +0 -0
  5. ER_Wild.zip +3 -0
  6. FG_ER.json +0 -0
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  8. FG_SA.json +1 -0
  9. FG_SA.zip +3 -0
  10. IR.json +0 -0
  11. IR.zip +3 -0
  12. ML_ER.json +0 -0
  13. ML_ER.zip +3 -0
  14. Noise_ER.json +0 -0
  15. Noise_ER.zip +3 -0
  16. README.md +33 -3
  17. SA.json +0 -0
  18. SA.zip +3 -0
  19. audio_clue/ER_Lab_qwen2_audio_clues.json +0 -0
  20. audio_clue/ER_Wild_qwen2_audio_clues.json +0 -0
  21. audio_clue/FG_ER_qwen2_audio_clues.json +0 -0
  22. audio_clue/FG_SA_qwen2_audio_clues.json +0 -0
  23. audio_clue/IR_qwen2_audio_clues.json +0 -0
  24. audio_clue/ML_ER_qwen2_audio_clues.json +0 -0
  25. audio_clue/Noise_ER_qwen2_audio_clues.json +0 -0
  26. audio_clue/SA_qwen2_audio_clues.json +0 -0
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README.md CHANGED
@@ -1,3 +1,33 @@
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # MME-Emotion
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+
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+ MME-Emotion is a multimodal emotion benchmark designed for evaluating
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+ emotion understanding and reasoning under diverse settings.
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+
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+ ## Contents
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+
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+ Each subset consists of:
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+ - A JSON annotation file
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+ - A ZIP archive containing corresponding video clips
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+
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+ Due to privacy considerations, raw videos are distributed only in compressed form.
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+
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+ ### Subsets
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+ - ER_Lab / ER_Wild
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+ - FG_ER / FG_SA
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+ - IR
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+ - ML_ER
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+ - Noise_ER
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+ - SA
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+
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+ Additional audio-based explanations are provided in `audio_clue/`.
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+
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+ ## Usage
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+
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+ ```python
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+ import json
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+ from zipfile import ZipFile
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+
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+ with open("ER_Lab.json") as f:
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+ data = json.load(f)
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+
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+ video_id = data[0]["video_id"] # ER_Lab/xxx.mp4
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audio_clue/IR_qwen2_audio_clues.json ADDED
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audio_clue/ML_ER_qwen2_audio_clues.json ADDED
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audio_clue/Noise_ER_qwen2_audio_clues.json ADDED
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audio_clue/SA_qwen2_audio_clues.json ADDED
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