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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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