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README.md
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license: mit
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---
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license: mit
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pretty_name: yt transcripts on sn13 beginning
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size_categories:
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- 10K<n<100K
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---
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<center>
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<img src="https://huggingface.co/datasets/macrocosm-os/images/resolve/main/bittensor.png" alt="Data-universe: The finest collection of social media data the web has to offer">
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</center>
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<center>
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<img src="https://huggingface.co/datasets/macrocosm-os/images/resolve/main/macrocosmos-black.png" alt="Data-universe: The finest collection of social media data the web has to offer">
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</center>
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# 🎙️ YouTube Transcripts Dataset
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> **Created by [SN13](https://www.macrocosmos.ai/sn13)(, powered by [Bittensor](https://www.bittensor.com/)**
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This dataset provides high-quality transcripts from **26,241 public YouTube videos**, meticulously collected and formatted for research and development in **natural language processing (NLP)**, **summarization**, and **language modeling**.
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---
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## 📦 Dataset Summary
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- **Total Videos**: 26,241
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- **Total Hours**: ~6,886.84
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- **Language Coverage**: Multilingual with translation to English(details below)
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- **Storage Format**: Parquet
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- **File Splits**: 3 files, each ≤10,000 rows
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- **Created By**: [SN13](https://www.macrocosmos.ai/sn13)
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- **Powered By**: [Bittensor](https://www.bittensor.com/)
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---
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## 🧱 Schema
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Each record represents one YouTube video with metadata and its full transcript:
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| Column | Type | Description |
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|----------------------|----------|-------------|
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| `video_id` | `string` | YouTube video ID |
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| `title` | `string` | Video title |
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| `channel_id` | `string` | Channel's unique ID |
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| `channel_name` | `string` | Display name of the channel |
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| `url` | `string` | Direct link to the video |
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| `transcript` | `list` | List of segments with start/end time and text |
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| `language` | `string` | Language code (e.g., `en`, `fr`, etc.) |
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| `duration_seconds` | `int64` | Duration of the video in seconds |
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| `upload_date.$date` | `string` | Video upload date in ISO format |
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---
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## 💬 Transcript Format
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Each transcript is a list of time-aligned text segments:
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```json
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[
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{ "start": "0.760", "end": "4.600", "text": "Welcome to the channel." },
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{ "start": "4.600", "end": "8.320", "text": "Let's dive into the details..." }
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]
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