Update README.md

README.md

@@ -7,9 +7,9 @@ size_categories:
 - 100B<n<1T
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-This dataset contains the fully prepared data (tokenised and pre-shuffled) used to train the Pythia (deduped) models—which you can find under the EleutherAI organisation and also listed in my [Memerisation-Profiles collection](https://huggingface.co/collections/pietrolesci/memorisation-profiles-6619604c4594c878cd9d451f).
-It is the very same data as [EleutherAI/pile-deduped-pythia-preshuffled](https://huggingface.co/datasets/EleutherAI/pile-deduped-pythia-preshuffled) in a more manageable format. 
-That is, instead of storing the data in the Megatron format used by the GPT-NeoX library, I stored them in a parquet format.
+This dataset contains the fully prepared data, which has been tokenized and pre-shuffled, used to train the Pythia (deduplicated) models. You can find these models under the EleutherAI organization, and they are also listed in my [Memorization Profiles collection](https://huggingface.co/collections/pietrolesci/memorisation-profiles-6619604c4594c878cd9d451f).
+
+This data is the same as the one found in [EleutherAI/pile-deduped-pythia-preshuffled](https://huggingface.co/datasets/EleutherAI/pile-deduped-pythia-preshuffled), but it is presented in a more manageable format. Instead of using the Megatron format utilized by the GPT-NeoX library, I have stored the data in a parquet format.
 
 
 ## Format