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README.md

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-license: cc-by-4.0
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+license: cc-by-4.0
+pretty_name: Natural ASR Speech Dataset
+
+tags:
+  - speech
+  - asr
+  - automatic-speech-recognition
+  - hinglish
+  - tamil
+  - bengali
+  - conversational-ai
+  - multilingual
+  - audio-dataset
+
+task_categories:
+  - automatic-speech-recognition
+
+size_categories:
+  - n<1K
+
+title: Natural ASR Speech Dataset
+
+description: >
+  This dataset contains natural, spontaneous two-speaker conversations recorded
+  in Hinglish, Tamil, and Bengali, paired with high-quality human-generated
+  transcriptions. The audio captures real conversational flow including fillers,
+  overlaps, informal phrasing, and varied accents, making it ideal for
+  Automatic Speech Recognition (ASR) model training and multilingual
+  conversational AI research.
+
+features:
+  - Two-speaker natural conversations
+  - Hinglish, Tamil, and Bengali coverage
+  - Varied accents, tones, and speaking speeds
+  - Clean manual transcriptions aligned for ASR
+  - Includes fillers, overlaps, and informal dialogue
+  - Suitable for research under CC BY 4.0
+
+intended_uses:
+  direct_use:
+    - Training ASR models
+    - Conversational speech recognition research
+    - Code-mixed language modeling (e.g., Hinglish)
+    - Multilingual and accent-robust ASR systems
+    - Dialogue understanding and speech-to-text evaluation
+    - Benchmarking ASR on spontaneous speech
+  out_of_scope:
+    - Biometric identity recognition
+    - Emotion or psychological profiling
+    - Clinical or medical diagnostic analysis
+    - Deployment without CC BY 4.0 attribution
+    - Real-time mission-critical ASR systems
+
+considerations_and_limitations:
+  - Dataset size is limited (<1,000 samples)
+  - Accent variety exists but does not cover all regions
+  - Natural overlaps, hesitations, and background elements present
+  - Future versions will include more speakers, accents, and languages
+
+license_info:
+  type: CC BY 4.0
+  description: Free to use, modify, distribute, and publish with attribution.
+
+contact:
+  - anoushka@kgen.io
+  - abhishek.vadapalli@kgen.io