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