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  # 📺 YouTube-Commons 📺
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- **YouTube-Commons** is a collection of audio transcripts of 1,689,372 videos shared on YouTube under a CC-By license.
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  ## Content
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- The collection comprises 12,663,123 original and automatically translated transcripts from 1,689,372 videos (348,839 individual channels).
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- In total, this represents 24,470,331,415 words.
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  All the videos where shared on YouTube with a CC-BY license: the dataset provide all the necessary provenance information including the title, link, channel name and upload date.
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  ## Acknowledgements
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  The corpus was stored and processed with the generous support of Scaleway. It was built up with the support and concerted efforts of the state start-up LANGU:IA (start-up d’Etat), supported by the French Ministry of Culture and DINUM, as part of the prefiguration of the service offering of the Alliance for Language technologies EDIC (ALT-EDIC).
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- Corpus collection has been largely facilitated thanks to the open science LLM community insights and cooperation (Occiglot, Eleuther AI, Allen AI).
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  <div style="text-align: center;">
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  <img src="https://github.com/mch-dd/datasetlogo/blob/main/scaleway.jpeg?raw=true" style="width: 33%; margin: 0 auto; display: inline-block;"/>
 
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  # 📺 YouTube-Commons 📺
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+ **YouTube-Commons** is a collection of audio transcripts of 2,063,066 videos shared on YouTube under a CC-By license.
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  ## Content
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+ The collection comprises 15,112,121 original and automatically translated transcripts from 2,063,066 videos (411,432 individual channels).
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+ In total, this represents nearly 30 billion words (29,721,837,256).
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  All the videos where shared on YouTube with a CC-BY license: the dataset provide all the necessary provenance information including the title, link, channel name and upload date.
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  ## Acknowledgements
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  The corpus was stored and processed with the generous support of Scaleway. It was built up with the support and concerted efforts of the state start-up LANGU:IA (start-up d’Etat), supported by the French Ministry of Culture and DINUM, as part of the prefiguration of the service offering of the Alliance for Language technologies EDIC (ALT-EDIC).
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+ Pleias corpus collection projects have been also facilitated thanks to the open science LLM community support, insights and cooperation (Occiglot, Eleuther AI, Allen AI).
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  <div style="text-align: center;">
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  <img src="https://github.com/mch-dd/datasetlogo/blob/main/scaleway.jpeg?raw=true" style="width: 33%; margin: 0 auto; display: inline-block;"/>