Initial commit: Indian Languages Speech Dataset

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README.md

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+---
+license: cc-by-nc-4.0
+task_categories:
+- automatic-speech-recognition
+- audio-classification
+- text-to-speech
+language:
+- gu
+- kn
+- ml
+- mr
+- or
+- te
+tags:
+- indian-languages
+- gujarati
+- kannada
+- malayalam
+- marathi
+- odia
+- telugu
+- indic-languages
+- south-asian
+- multilingual
+- speech-data
+- asr
+- tts
+- crowdsourced
+- real-world-audio
+pretty_name: "Indian Languages Speech Dataset"
+size_categories:
+- 1K<n<10K
+---
+
+# 🇮🇳 Indian Languages Speech Dataset
+
+High-quality speech data covering **6 major Indian languages** with natural speaker diversity, real-world acoustic conditions, and demographic metadata.
+
+## 📊 Dataset Overview
+
+This dataset contains speech recordings from native speakers across 6 Indian languages that together represent over **300 million speakers**:
+
+- **Gujarati** (`gu`) - 56M speakers, primarily Gujarat
+- **Kannada** (`kn`) - 44M speakers, Karnataka
+- **Malayalam** (`ml`) - 38M speakers, Kerala
+- **Marathi** (`mr`) - 83M speakers, Maharashtra
+- **Odia** (`or`) - 38M speakers, Odisha  
+- **Telugu** (`te`) - 82M speakers, Andhra Pradesh & Telangana
+
+### Key Features
+
+✅ **Native speakers only** - All recordings from L1 speakers  
+✅ **Rich metadata** - Gender, age, ethnicity, occupation, location  
+✅ **Multiple speech types** - Free speech, keywords, monologues  
+✅ **Real-world audio** - Natural acoustic environments with background noise  
+✅ **Crowdsourced** - Collected from 2M+ contributors globally  
+✅ **Diverse demographics** - Age range 18-70+, balanced gender representation
+
+## 🎯 Use Cases
+
+- **ASR Training** - Train Indic language speech recognition models
+- **TTS Development** - Build text-to-speech systems for Indian languages
+- **Accent Research** - Study regional variations within each language
+- **Multilingual Models** - Cross-lingual transfer learning for Indic languages
+- **Language Identification** - Train language detection for South Asian languages
+- **Voice Biometrics** - Speaker recognition in Indic language contexts
+
+## 📁 Dataset Structure
+
+```
+indian-languages-speech/
+├── gujarati_india/
+│   ├── free_speech/
+│   ├── keywords/
+│   └── monologues/
+├── kannada_india/
+│   ├── free_speech/
+│   ├── keywords/
+│   └── monologues/
+├── malayalam_india/
+│   ├── free_speech/
+│   ├── keywords/
+│   └── monologues/
+├── marathi_india/
+│   ├── free_speech/
+│   ├── keywords/
+│   └── monologues/
+├── odia_india/
+│   ├── free_speech/
+│   ├── keywords/
+│   └── monologues/
+└── telugu_india/
+    ├── free_speech/
+    ├── keywords/
+    └── monologues/
+```
+
+### Speech Types
+
+- **free_speech**: Spontaneous, unscripted speech with natural disfluencies
+- **keywords**: Short utterances, commands, and keyword spotting
+- **monologues**: Extended speech, storytelling, and continuous utterances
+
+## 🔧 Loading the Dataset
+
+```python
+from datasets import load_dataset
+
+# Load all Indian languages
+dataset = load_dataset("SilencioNetwork/indian-languages-speech")
+
+# Load specific language
+gujarati = load_dataset("SilencioNetwork/indian-languages-speech", name="gujarati_india")
+
+# Load specific split
+free_speech = load_dataset("SilencioNetwork/indian-languages-speech", 
+                           name="gujarati_india", 
+                           split="free_speech")
+```
+
+## 📋 Metadata Fields
+
+Each audio sample includes:
+
+- `file_name` - Audio file identifier
+- `id` - Unique recording ID
+- `audio` - Audio data (sampling rate, waveform)
+- `gender` - Speaker gender
+- `ethnicity` - Speaker ethnicity
+- `occupation` - Speaker occupation
+- `country_code` - Country of recording
+- `birth_place` - Speaker's birthplace
+- `mother_tongue` - Speaker's native language
+- `dialect` - Regional dialect variant
+- `year_of_birth` - Speaker age information
+- `years_at_birth_place` - Time lived at birthplace
+- `languages_data` - Other languages spoken
+- `os` - Recording device OS
+- `device` - Device type (mobile, tablet, desktop)
+- `browser` - Browser used for recording
+- `duration` - Audio length in seconds
+- `emotions` - Emotional content labels
+- `language` - Recording language
+- `location` - Recording location type
+- `noise_sources` - Background noise description
+- `script_id` - Script identifier (for scripted speech)
+- `type_of_script` - Script category
+- `script` - Original script text (if applicable)
+- `transcript` - Speech transcription
+- `speaker_id` - Unique speaker identifier
+
+## 📈 Dataset Statistics
+
+- **Total Languages**: 6
+- **Total Speakers**: 1,000s of unique speakers
+- **Native Speaker Coverage**: 300M+ speakers represented
+- **Audio Duration**: 100s of hours across all languages
+- **Geographic Coverage**: Major Indian states (Gujarat, Karnataka, Kerala, Maharashtra, Odisha, Andhra Pradesh, Telangana)
+
+## 🌍 Language Coverage
+
+| Language | Code | Speakers | Primary Regions |
+|----------|------|----------|-----------------|
+| Gujarati | gu | 56M | Gujarat, Mumbai |
+| Kannada | kn | 44M | Karnataka |
+| Malayalam | ml | 38M | Kerala, Lakshadweep |
+| Marathi | mr | 83M | Maharashtra, Goa |
+| Odia | or | 38M | Odisha |
+| Telugu | te | 82M | Andhra Pradesh, Telangana |
+
+## ⚖️ License & Usage
+
+**License**: CC BY-NC 4.0 (Creative Commons Attribution-NonCommercial 4.0 International)
+
+✅ **Allowed**:
+- Research and academic use
+- Model training for non-commercial applications
+- Educational purposes
+- Personal projects
+
+❌ **Not Allowed**:
+- Commercial products or services
+- Selling or licensing the dataset
+- Commercial ASR/TTS systems without separate licensing
+
+For commercial licensing, contact: **sofia@silencioai.com**
+
+## 🏢 About Silencio
+
+Silencio is a voice AI data company providing scaled sourcing of real-world audio and speech data. With **2M+ contributors across 180+ countries**, we specialize in:
+
+- Diverse accent and dialect coverage
+- Real-world acoustic environments
+- Demographic and sociolinguistic metadata
+- On-demand data collection for underrepresented languages
+
+**Learn more**: [silencioai.com](https://silencioai.com)
+
+## 📚 Citation
+
+```bibtex
+@dataset{silencio_indian_languages_2026,
+  title={Indian Languages Speech Dataset},
+  author={Silencio Network},
+  year={2026},
+  publisher={HuggingFace},
+  url={https://huggingface.co/datasets/SilencioNetwork/indian-languages-speech}
+}
+```
+
+## 🤝 Contributing
+
+Found issues with the data? Have suggestions for improvement?  
+Contact us: **sofia@silencioai.com**
+
+---
+
+**Tags**: #IndianLanguages #Gujarati #Kannada #Malayalam #Marathi #Odia #Telugu #IndicLanguages #SpeechData #ASR #TTS #Multilingual #VoiceAI

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