Add README

README.md

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+---
+license: cc-by-nc-4.0
+language:
+- en
+task_categories:
+- automatic-speech-recognition
+- audio-classification
+tags:
+- voice-ai
+- speech-data
+- conversational-ai
+- real-world-audio
+- crowdsourced
+- multi-speaker
+- meeting-transcription
+pretty_name: "🎙️ Silencio Conversational Speech Dataset"
+configs:
+- config_name: conversational_english
+  data_files:
+  - split: conversations
+    path: conversational_english/conversations/**
+size_categories:
+- n<1K
+---
+
+# 🎙️ Silencio Network: Conversational Speech Dataset
+
+<p align="left">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/69162b50b89e7abe20de4b5a/LWhs4p2lPFcyiVsP0tluu.png" width="40%">
+</p>
+
+[![Website](https://img.shields.io/badge/Website-silencioai.com-blue?style=flat-square)](https://www.silencioai.com)
+[![Contact](https://img.shields.io/badge/Contact-sofia@silencioai.com-green?style=flat-square)](mailto:sofia@silencioai.com)
+[![Data Available](https://img.shields.io/badge/Full_Corpus-100,000+_hours-orange?style=flat-square)](mailto:sofia@silencioai.com)
+
+---
+
+## Overview
+
+Sample conversational speech data from Silencio Network's crowdsourced voice AI platform. This dataset contains **multi-speaker meeting recordings** with word-level transcripts, speaker diarization, and rich demographic metadata.
+
+Each row represents one participant in a meeting and includes **3 audio files**:
+
+| Audio Column | Description | Format |
+|-------------|-------------|--------|
+| `file_name` (speaker audio) | Individual participant's isolated recording | WAV |
+| `full_meeting_single_channel` | Full meeting mixed to single channel | MP3 |
+| `full_meeting_multi_channel` | Full meeting with separate speaker channels | WAV |
+
+Plus **word-level meeting transcripts** with speaker turns and timestamps.
+
+## Dataset Summary
+
+| Config | Language | Meetings | Participants | Total Audio |
+|--------|----------|----------|--------------|-------------|
+| `conversational_english` | English | 4 | 8 | 135.9 MB |
+
+## 🚀 Quick Start
+
+```python
+from datasets import load_dataset
+
+# Load conversational English samples
+ds = load_dataset("jml2026/conversational-speech-dataset", "conversational_english")
+
+conversations = ds['conversations']
+
+for sample in conversations:
+    speaker_audio = sample['audio']          # Individual speaker recording
+    meeting_audio = sample['full_meeting_single_channel']  # Full meeting
+    transcript = sample['meeting_transcript_text']         # Plain text transcript
+    print(f"Speaker {sample['speaker_id']} ({sample['gender']}, {sample['dialect']})")
+    print(f"  Words spoken: {sample['speaker_word_count']}")
+    print(f"  Meeting duration: {sample['meeting_duration']}s")
+```
+
+## Schema
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `file_name` | Audio | Individual speaker's isolated audio recording |
+| `meeting_id` | int | Unique meeting identifier |
+| `speaker_id` | string | Deterministic UUID for the speaker |
+| `gender` | string | Speaker gender |
+| `ethnicity` | string | Speaker ethnicity |
+| `occupation` | string | Speaker occupation |
+| `birth_place` | string | Speaker birth place |
+| `dialect` | string | Speaker dialect |
+| `year_of_birth` | int | Speaker year of birth |
+| `years_at_birth_place` | int | Years lived at birth place |
+| `languages_data` | string | JSON array of languages spoken with proficiency levels |
+| `language` | string | Meeting language |
+| `meeting_duration` | int | Meeting duration in seconds |
+| `meeting_transcript_word_count` | int | Total word count of the meeting transcript |
+| `speaker_word_count` | int | Word count for this speaker |
+| `full_meeting_single_channel` | Audio | Full meeting audio mixed to single channel |
+| `full_meeting_multi_channel` | Audio | Full meeting audio with separate speaker channels |
+| `meeting_transcript_json` | string | Full meeting transcript as JSON with word-level timestamps and speaker IDs |
+| `meeting_transcript_text` | string | Plain text meeting transcript with speaker turns |
+
+## About Silencio Network
+
+Silencio Network operates a global platform with **500,000+ contributors** across **130+ countries**, collecting voice data through a mobile app. The full corpus exceeds **100,000 hours** of validated speech data.
+
+For access to the complete dataset or custom data collection, contact **sofia@silencioai.com**.
+
+## License
+
+This sample dataset is released under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). Commercial licensing is available upon request.