Create README.md

README.md

@@ -1,21 +1,26 @@
 ---
-dataset_info:
- features:
- - name: raw_content
- dtype: string
- - name: doc_id
- dtype: string
- - name: meta
- dtype: string
- - name: quality_signals
- dtype: string
- splits:
- - name: train
- num_bytes: 74731304554
- num_examples: 6391639
- download_size: 33337342851
- dataset_size: 74731304554
+task_categories:
+- text-generation
+language:
+- en
+- de
+- fr
+- es
+- it
 ---
-# Dataset Card for "rpj-v2-sample"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+This is a mirror of the `sample-10B` subset of [RedPajama-Data-V2](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-V2) which we have re-uploaded in order to resolve issues with the original download script.
+
+### Getting Started
+
+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
+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.
+
+A full set of scripts to recreate the dataset, including the quality signals, can be
+found [here](https://github.com/togethercomputer/RedPajama-Data).