update README.md

README.md

@@ -15,7 +15,8 @@ pretty_name: Red Pajama V2 Dataset
 RedPajama-V2 is an open dataset for training large language models. The dataset 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, and 20B documents that are deduplicated.
+that additionally come with quality signals. In addition, we also provide the ids of duplicated documents which can be 
+used to create a dataset with 20B deduplicated documents.
 
 Check out our [blog post](https://together.ai/blog/redpajama-data-v2) for more details on the build process, dataset
 structure and schema.
@@ -30,7 +31,7 @@ ds = load_dataset("togethercomputer/RedPajama-Data-V2", name="sample")
 
 To download a the dataset for a specific combination of `{partition} x {snapshot_id} x {language}` (e.g., English and
 German data from the `head_middle` partition of the 2023-06 and the 2022-49 dumps), you can run the following command.
-_Note that this will downlaod the entire dumps and requires 1TB disk space per dump_.
+_Note that this will downlaod the entire dumps and requires ~1TB disk space per dump_.
 
 ```python
 from datasets import load_dataset
@@ -172,8 +173,8 @@ for sample in ds_iterator["train"]:
 
 ### Dataset Summary
 
-RedPajama-V2 is an open dataset for training large laguage models and includes over 100B text documents. Out of these,
-30B documents come with quality annotations. Out of the 30B quality annotated documents, 20B are deduplicated.
+RedPajama-V2 is an open dataset for training large language models and includes over 100B text documents. Out of these,
+30B documents come with quality annotations. Out of these, there are 20B unique documents.
 
 #### Quality Annotations