add raw doc+token counts

README.md

@@ -15,7 +15,7 @@ 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. In addition, we also provide the ids of duplicated documents which can be 
+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
@@ -30,8 +30,9 @@ 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_.
+German data from the `head_middle` partition of the 2023-06 and the 2022-49 dumps), you can run the following command 
+which downloads the raw (i.e., not deduplicated) part of the dataset.
+_Note that this will download the entire dumps and requires ~1TB disk space per dump_.
 
 ```python
 from datasets import load_dataset
@@ -71,7 +72,7 @@ done <"$listings_file"
 
 ```
 
-In addition, for the `head_middle` partition, you can also download the quality signals, minhash signatures and 
+In addition, for the `head_middle` partition, you can also download the quality signals, minhash signatures and
 duplicate ids using the following commands:
 
 ```bash
@@ -227,16 +228,27 @@ RedPajama-V2 is an open dataset for training large language models and includes
 | minhash_signature_0.9                          | Banded minhash signature of the document, for fuzzy deduplication at Jaccard similarity 0.9. The signature is based on 128 hash functions and grouped into 5 bands and 25 rows for LSH..                                                                                                                                                                                                                             | Deduplication    |
 | minhash_signature_1.0                          | Banded minhash signature of the document, for fuzzy deduplication at Jaccard similarity 1.0. The signature is based on 128 hash functions and grouped into 1 band and 128 rows for LSH.                                                                                                                                                                                                                              | Deduplication    |
 
-#### Document and Token Counts for the Annotated and deduplicated `head_middle` part of the dataset
-
-|       | # Documents | Estimated Token count (deduped) |
-|-------|-------------|---------------------------------|
-| en    | 14.5B       | 20.5T                           |
-| de    | 1.9B        | 3.0T                            |
-| fr    | 1.6B        | 2.7T                            |  
-| es    | 1.8B        | 2.8T                            |
-| it    | 0.9B        | 1.5T                            |
-| Total | 20.8B       | 30.4T                           |
+#### Raw Document and Token Counts (`head_middle`)
+
+|       | # Documents (deduped) | Estimated Token count (deduped) |
+|-------|-----------------------|---------------------------------|
+| en    | 24.5B                 | 37.0T                           |
+| de    | 2.7B                  | 4.1T                            |
+| fr    | 2.2B                  | 3.7T                            |  
+| es    | 2.3B                  | 3.9T                            |
+| it    | 1.2B                  | 1.9T                            |
+| Total | 32.9B                 | 50.6T                           |
+
+#### Deduplicated Document and Token Counts (`head_middle`)
+
+|       | # Documents (total) | Estimated Token count (total) |
+|-------|---------------------|-------------------------------|
+| en    | 14.5B               | 20.5T                         |
+| de    | 1.9B                | 3.0T                          |
+| fr    | 1.6B                | 2.7T                          |  
+| es    | 1.8B                | 2.8T                          |
+| it    | 0.9B                | 1.5T                          |
+| Total | 20.8B               | 30.4T                         |
 
 ### Languages