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Update README.md

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@@ -4,13 +4,11 @@ task_categories:
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  - text-generation
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  language:
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  - en
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- - hi
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  - fr
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  - es
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  - pt
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  - de
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  - ru
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- - ar
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  tags:
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  - conversational
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  pretty_name: Youtube Commons Corpus
@@ -20,7 +18,6 @@ pretty_name: Youtube Commons Corpus
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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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-
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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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@@ -28,10 +25,7 @@ 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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- ## Language
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- The corpus is multilingual with a majority of English-speaking content (71%) for original languages. Most represented languages aside from English include Hindi (132,498 videos), French (87,843 videos), and Spanish (70,557 videos).
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-
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- Automated transcriptions are provide for nearly all the videos in English, French, Spanish, German, Russian, Italian and Dutch.
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  ## Uses
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  The collection aims to expand the availability of conversational data for research in AI, computational social science and digital humanities.
 
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  - text-generation
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  language:
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  - en
 
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  - fr
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  - es
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  - pt
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  - de
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  - ru
 
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  tags:
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  - conversational
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  pretty_name: Youtube Commons Corpus
 
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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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  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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+ The corpus is multilingual with a majority of English-speaking content (71%) for original languages. Automated translations are provided for nearly all the videos in English, French, Spanish, German, Russian, Italian and Dutch.
 
 
 
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  ## Uses
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  The collection aims to expand the availability of conversational data for research in AI, computational social science and digital humanities.