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Update README.md

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@@ -120,19 +120,31 @@ license:
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  multilinguality:
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  - multilingual
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  size_categories:
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- - n<1K
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- - 1K<n<10K
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- - 10K<n<100K
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- - 100K<n<1M
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- - 1M<n<10M
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- - 10M<n<100M
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- - 100M<n<1B
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- - 1B<n<10B
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  source_datasets:
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  - original
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  task_categories:
 
 
 
 
 
 
 
 
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  - text-generation
 
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  - fill-mask
 
 
 
 
 
 
 
 
 
 
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  task_ids:
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  - language-modeling
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  - masked-language-modeling
@@ -1101,6 +1113,9 @@ configs:
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  path: multilingual/c4-zu.*.json.gz
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  - split: validation
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  path: multilingual/c4-zu-validation.*.json.gz
 
 
 
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  ---
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  # C4
@@ -1387,4 +1402,4 @@ We are releasing this dataset under the terms of [ODC-BY](https://opendatacommon
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  ### Acknowledgements
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- Big ups to the good folks at [Common Crawl](https://commoncrawl.org) whose data made this possible ([consider donating](http://commoncrawl.org/donate/)!), to Google for creating the code that curates and filters the data, and to Huggingface, who had no issue with hosting these 3TB of data for public download!
 
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  multilinguality:
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  - multilingual
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  size_categories:
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+ - 100B<n<1T
 
 
 
 
 
 
 
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  source_datasets:
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  - original
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  task_categories:
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+ - summarization
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+ - text-classification
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+ - token-classification
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+ - table-question-answering
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+ - question-answering
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+ - zero-shot-classification
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+ - translation
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+ - feature-extraction
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  - text-generation
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+ - text2text-generation
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  - fill-mask
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+ - sentence-similarity
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+ - text-to-speech
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+ - text-to-audio
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+ - automatic-speech-recognition
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+ - audio-to-audio
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+ - audio-classification
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+ - voice-activity-detection
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+ - depth-estimation
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+ - image-classification
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+ - object-detection
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  task_ids:
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  - language-modeling
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  - masked-language-modeling
 
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  path: multilingual/c4-zu.*.json.gz
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  - split: validation
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  path: multilingual/c4-zu-validation.*.json.gz
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+ tags:
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+ - music
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+ - finance
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  ---
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  # C4
 
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  ### Acknowledgements
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+ Big ups to the good folks at [Common Crawl](https://commoncrawl.org) whose data made this possible ([consider donating](http://commoncrawl.org/donate/)!), to Google for creating the code that curates and filters the data, and to Huggingface, who had no issue with hosting these 3TB of data for public download!