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guipenedo HF staff commited on
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updated point of contact

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  1. README.md +2 -2
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@@ -20324,7 +20324,7 @@ In total, we provide filtered data for **1,893 language-script pairs**. Of these
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  While we tried our best to not overfilter, we know that our filtering isn't perfect, and wanted to allow the community to **easily re-filter the data with their own filtering criteria**. We have therefore also uploaded the data that was **removed** by our filtering pipeline for each language (it is suffixed by `_removed`). The _filtered + the removed subsets_ of each language represent the entire data for a given language following global deduplication, which means that you do not have to re-deduplicate it yourself. You can find and adapt our filtering [code here](https://github.com/huggingface/fineweb-2/blob/main/fineweb-2-pipeline.py).
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- Additionally, we also uploaded data for scripts that the language classifier does not support, without any deduplication or filtering. These are prefixed by `und_`.
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  The following table shows the size of the filtering subset for the biggest 80 languages. Feel free to expand the _details_ below for the full list.
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@@ -24634,7 +24634,7 @@ Expand each individual language to see the corresponding plot. The error bars co
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  ## Dataset Description
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  - **Homepage and Repository:** [https://huggingface.co/datasets/HuggingFaceFW/fineweb-2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2)
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- - **Point of Contact:** please create a discussion on the Community tab
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  - **License:** Open Data Commons Attribution License (ODC-By) v1.0
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  ### Dataset Summary
 
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  While we tried our best to not overfilter, we know that our filtering isn't perfect, and wanted to allow the community to **easily re-filter the data with their own filtering criteria**. We have therefore also uploaded the data that was **removed** by our filtering pipeline for each language (it is suffixed by `_removed`). The _filtered + the removed subsets_ of each language represent the entire data for a given language following global deduplication, which means that you do not have to re-deduplicate it yourself. You can find and adapt our filtering [code here](https://github.com/huggingface/fineweb-2/blob/main/fineweb-2-pipeline.py).
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+ Additionally, we also uploaded data for scripts that the language classifier does not support or in a supported script but unknown language, without any deduplication or filtering. These are prefixed by `und_`.
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  The following table shows the size of the filtering subset for the biggest 80 languages. Feel free to expand the _details_ below for the full list.
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  ## Dataset Description
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  - **Homepage and Repository:** [https://huggingface.co/datasets/HuggingFaceFW/fineweb-2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2)
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+ - **Point of Contact:** https://huggingface.co/spaces/HuggingFaceFW/discussion
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  - **License:** Open Data Commons Attribution License (ODC-By) v1.0
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  ### Dataset Summary