update README.md

README.md

@@ -14,7 +14,7 @@ pretty_name: Red Pajama V2 Dataset
 
 The full RedPajama-V2 dataset is a data foundation that includes over 100B text documents coming from 84 CommonCrawl
 snapshots and processed using the [CCNet](https://github.com/facebookresearch/cc_net) pipeline. Out of these, there are
-30B documents in the corpus that additionally come with quality signals.
+30B documents in the corpus that additionally come with quality signals, and 20B documents that are deduplicated.
 
 Check out our [blog post](XXXXX) for more details on the build process, dataset structure and schema.
 
@@ -128,7 +128,7 @@ RedPajama-V2 is an open dataset for training large laguage models and includes o
 | rps_doc_ldnoobw_words                          | The number of sequences of words that are contained in the List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words blocklist. The blocklist is obtained from the [LDNOOBW](https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words) repo.                                                                                                                                                     | toxicity         | [C4](https://arxiv.org/abs/1910.10683)                                                                                        |
 | rps_doc_ut1_blacklist                          | A categorical id corresponding to the list of categories of the domain of the document. Categories are obtained from the UT1 blacklist. The list is obtained from [UT-Capitole](https://dsi.ut-capitole.fr/blacklists/).                                                                                                                                                                                             | toxicictiy       | [RefinedWeb](https://arxiv.org/abs/2306.01116)                                                                                |
 
-#### Document and Token Counts for the Annotated (`head_middle`) part of the dataset
+#### Document and Token Counts for the Annotated and deduplicated `head_middle` part of the dataset
 
 |       | # Documents | Estimated Token count (deduped) |
 |-------|-------------|---------------------------------|