📺 Introducing the YouTube-Commons Dataset 📺
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📺 Introducing the YouTube-Commons Dataset 📺
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🌐 Overview: The YouTube Commons Dataset is a comprehensive collection of 30 billion words from 15,112,121 original and automatically translated transcripts, drawn from 2,063,066 videos on YouTube.
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🌐 Overview: The YouTube Commons Dataset is a comprehensive collection of 30 billion words from 15,112,121 original and automatically translated transcripts, drawn from 2,063,066 videos on YouTube.
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🔗 License: All videos are shared under the CC-BY license, with the majority (71%) in English.
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🔗 License: All videos are shared under the CC-BY license, with the majority (71%) in English.
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🤖 Applications: This dataset is ideal for training powerful AI models for converting speech to text (ASR) and translation models.
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🤖 Applications: This dataset is ideal for training powerful AI models for converting speech to text (ASR) and translation models.
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📊 Utilization: The text can be used for model training and is republishable for reproducibility purposes.
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📊 Utilization: The text can be used for model training and is republishable for reproducibility purposes.
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🤝 Collaboration: This dataset is the result of a collaboration between state start-up LANGU:IA, the French Ministry of Culture, and DINUM. It will be expanded in the coming months.
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🤝 Collaboration: This dataset is the result of a collaboration between state start-up LANGU:IA, the French Ministry of Culture, and DINUM. It will be expanded in the coming months.
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🔗 Explore the dataset here: 
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🔗 Explore the dataset here: 
https://lnkd.in/d_paWKFE
https://lnkd.in/d_paWKFE
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#YouTubeCommons #AIResearch #MachineLearning #OpenData #ArtificialIntelligence #NLP #Dataset #TechCollaboration #Innovation #DigitalTransformation
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#YouTubeCommons #AIResearch #MachineLearning #OpenData #ArtificialIntelligence #NLP #Dataset #TechCollaboration #Innovation #DigitalTransformation
📺 Introducing the YouTube-Commons Dataset 📺

🌐 Overview: The YouTube Commons Dataset is a comprehensive collection of 30 billion words from 15,112,121 original and automatically translated transcripts, drawn from 2,063,066 videos on YouTube.

🔗 License: All videos are shared under the CC-BY license, with the majority (71%) in English.

🤖 Applications: This dataset is ideal for training powerful AI models for converting speech to text (ASR) and translation models.

📊 Utilization: The text can be used for model training and is republishable for reproducibility purposes.

🤝 Collaboration: This dataset is the result of a collaboration between state start-up LANGU:IA, the French Ministry of Culture, and DINUM. It will be expanded in the coming months.

🔗 Explore the dataset here: https://lnkd.in/d_paWKFE

#YouTubeCommons #AIResearch #MachineLearning #OpenData #ArtificialIntelligence #NLP #Dataset #TechCollaboration #Innovation #DigitalTransformation
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