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metadata.json.txt
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{
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"name": "OpenSER-700K",
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"description": "OpenSER-700K is a large-scale, high-quality speech emotion recognition dataset containing 700,258 audio samples across 7 emotion categories (Angry, Disgust, Fear, Happy, Neutral, Sad, Surprise). It is curated for deep learning, multimodal fusion, and benchmarking in affective computing and human-computer interaction research.",
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"version": "1.0.0",
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"total_audio_files": 700258,
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"duration": "≈1200 hours (avg. 6 seconds per clip)",
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"sampling_rate": 16000,
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"audio_format": "wav",
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"classes": {
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"angry": 98477,
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"disgust": 98477,
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"fear": 98477,
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"happy": 98477,
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"neutral": 98505,
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"sad": 98477,
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"surprise": 99348
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},
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"modalities": ["audio", "speech"],
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"recommended_usage": [
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"Training speech emotion recognition (SER) models",
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"Feature extraction with HuBERT, Wav2Vec2, or OpenL3",
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"Multimodal fusion with facial emotion embeddings",
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"Benchmarking speech-based affect recognition tasks"
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],
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"dataset_structure": [
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"OpenSER-700K/{emotion}/{filename}.wav",
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"Metadata file: data.json (maps file path → emotion label)"
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],
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"license": "cc-by-nc-4.0",
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"usage_notes": "This dataset is for academic and non-commercial research only. Please provide attribution when using it in publications or derivative works.",
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"source_datasets": [
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{"name": "RAVDESS", "license": "CC BY-NC"},
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{"name": "SAVEE", "license": "Research-use-only"},
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{"name": "TESS", "license": "Research-use-only"},
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{"name": "CREMA-D", "license": "CC BY-NC"},
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{"name": "EMO-DB", "license": "Research-use-only"},
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{"name": "IEMOCAP", "license": "Research-use-only"}
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],
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"libraries": ["datasets", "torchaudio", "transformers"],
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"formats": ["wav"],
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"tags": ["speech-emotion-recognition", "audio", "SER", "emotion", "deep-learning"],
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"citation": "Adhavan M. OpenSER-700K: Large-Scale Speech Emotion Recognition Dataset. 2025. URL: https://huggingface.co/datasets/imadhavan/OpenSER-700K"
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}
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