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@@ -57,3 +57,32 @@ This dataset aims to advance AI speech recognition by providing diverse, high-qu
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  - **Size**: The dataset is small (<1,000 samples), limiting its robustness for large-scale ASR training.
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  - **Language**: Currently English-only; multilingual expansion is planned.
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  - **Out-of-Scope Use**: Not designed for real-time speech applications or commercial use without adhering to the CC BY 4.0 license.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - **Size**: The dataset is small (<1,000 samples), limiting its robustness for large-scale ASR training.
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  - **Language**: Currently English-only; multilingual expansion is planned.
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  - **Out-of-Scope Use**: Not designed for real-time speech applications or commercial use without adhering to the CC BY 4.0 license.
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+ ## Intended Uses
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+ ### βœ… Direct Use
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+ - Training and benchmarking ASR models with Indian-accented English
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+ - Emotion detection and classification from voice
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+ - Research in affective computing and empathetic AI
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+ ### ❌ Out-of-Scope Use
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+ - Real-time or production-grade systems
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+ - Commercial use without proper CC BY 4.0 attribution
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+ - Clinical or diagnostic use cases
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+ ---
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+ ## Considerations and Limitations
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+ - ❗ The dataset is small (<1,000 samples) and not fully representative of India's linguistic and emotional diversity
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+ - πŸ’‘ Emotions are subjective β€” classification results may vary by listener or model
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+ - πŸ”„ Future versions will aim to expand multilingual support and speaker diversity
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+ ---
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+ ## License
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+ **CC BY 4.0** β€” You can use, modify, and share the dataset with appropriate credit.
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