ScribeSalad

In absence of searchable transcripts, many interesting YouTube videos, podcasts, lectures and talks are hard to explore, quote and summarize. ScribeSalad is an open data project regrouping over 100k YouTube video transcripts discussing social and political issues, psychology, history and scientific topics ranging from biology, mathematics to artificial intelligence : The Joe Rogan Experience, The Rubin Report, Jordan B. Peterson talks, Yale courses, MIT lectures and more. This project is a first step towards making great content more available and inspiring speakers, storytellers, interviewers and scientists better heard.

Available transcripts

• A-C : AI lectures & talks, Alexander Amini, Bill Burr, Big Think, Biographics, Bite-sized Philosophy, Coffee Break, Conan O’Brien Needs A Friend, Cracked, CrashCourse

• D-I : Dan Carlin, Dose Of Truth, Fire of learning, Future of Life Institute, H3 podcast, Harvard_University, Hugo Larochelle, IQ squared

• J : Jocko Podcast, Joe Rogan Clips, Joe Rogan Experience, Joe Rogan MMA Show, Jordan B. Peterson, Jordan Peterson Fan Clips, Jordan Peterson clips, Jubilee

• K-M : Kurzgesagt, Lang Focus, Lex Fridman, MIT courses, Motivation Madness

• N-R : National Geographic, NativLang, Nerd writer, Nobel minds, NowYouSeeIt, Pop Culture Detective, RT Documentaries, Rubin Report, Russell Brand

• S-V : Siraj Raval, Storytellers, TED, The Linguistics Channel, The Monday Morning Podcast, TheSchoolOfLife, ThinkBigAnimation, Tim Ferris, Visual politik

• W-Y : WhatIf, Wisecrack, Wordporn, Yale Courses, Your Mom's House Podcast

Transcription quality

Some of the transcriptions originate from YouTube (subtitles uploaded by the video's owner) while the rest are generated automatically using a high-accuracy large-vocabulary continuous speech recognition system (~90% of accuracy in clean conditions : no background noise, no heavy accents and good quality audio).

Filenames and formats

The transcripts identified using the corresponding YouTube videos IDs and each one is available in three formats : text, vtt (Text Tracks Format) and srt (SubRip Subtitle Format).

To open the original video, replace "ID" in https://www.youtube.com/watch?v=ID by the transcript filename.

Terms of use

This is an open data project, feel free to fork this repository, download, share and use any of the transcripts.

TODO

• Cleaning-up transcripts : removing fillers (hum, ah, etc) and repetitions.
• Topic modeling : automatically discovering the abstract "topics" that occur in a each transcript.
• Speaker identification : who spoken when ? and for how long ?
• Creating a search engine : exploring subjects by speaker, topic, channel, etc.
• Multiligual transcripts : Translating all transcripts to other languages.
• More channels & more videos.