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Open Source Ai Year In Review 2024
What happened in open-source AI this year, and what’s next?
Mohamed Salama PRO
Salama1429
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📺 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
🌐 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