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Create README.md

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+ ---
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+ annotations_creators:
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+ - no-annotation
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+ language:
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+ - en
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+ language_creators:
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+ - found
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+ license:
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+ - afl-3.0
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+ multilinguality:
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+ - monolingual
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+ pretty_name: Youtube Transcriptions
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+ size_categories:
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+ - 10K<n<100K
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+ source_datasets:
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+ - original
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+ tags:
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+ - youtube
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+ - technical
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+ - speech to text
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+ - speech
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+ - video
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+ - video search
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+ - audio
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+ - audio search
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+ task_categories:
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+ - conversational
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+ - question-answering
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+ - text-retrieval
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+ - visual-question-answering
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+ task_ids:
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+ - open-domain-qa
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+ - extractive-qa
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+ - document-retrieval
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+ - visual-question-answering
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+ ---
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+
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+ The YouTube transcriptions dataset contains technical tutorials (currently only from [YouTube.com/c/JamesBriggs](https://www.youtube.com/c/jamesbriggs)) transcribed using OpenAI's Whisper (large). Each row represents roughly a sentence-length chunk of text alongside the video URL and timestamp.