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@@ -33,7 +33,7 @@ You are currently viewing the HTML subset of πŸƒ MINT-1T. For PDF and ArXiv sub
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  ## Updates
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  ### 9/7/24
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- We have improved MINT-1T (HTML) by removing boilerplate from the header and footer of each document. This new data can be found in directory `data_v1_1` and contains 742B text tokens. The previous version of the data can be found in directory `data_v1_0`.
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  ### 8/8/24
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  We have updated MINT-1T (HTML) with fixed document URL filtering and additional image safety filtering. As we prioritize safety, we have decided to only release the HTML data from MINT-1T that passes a rigorous image filtering pipeline; we run an additional image safety classifier, the one created by [Datacomp](https://www.datacomp.ai/dcclip/index.html#home), on data already filtered by our [original NSFW image classifier](https://github.com/GantMan/nsfw_model). The newly released MINT-1T (HTML) contains 792B text tokens and 905M documents.
 
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  ## Updates
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  ### 9/7/24
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+ We have improved MINT-1T (HTML) by removing boilerplate from the header and footer of each document. This new version of the data can be found in directory `data_v1_1` and contains 742B text tokens. The previous version of the data can be found in directory `data_v1_0`.
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  ### 8/8/24
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  We have updated MINT-1T (HTML) with fixed document URL filtering and additional image safety filtering. As we prioritize safety, we have decided to only release the HTML data from MINT-1T that passes a rigorous image filtering pipeline; we run an additional image safety classifier, the one created by [Datacomp](https://www.datacomp.ai/dcclip/index.html#home), on data already filtered by our [original NSFW image classifier](https://github.com/GantMan/nsfw_model). The newly released MINT-1T (HTML) contains 792B text tokens and 905M documents.