up

README.md

@@ -5,7 +5,7 @@ size_categories:
 - 1B<n<10B
 task_categories:
 - text-generation
-pretty_name: OpenSERP-V1
+pretty_name: OpenWebSearch-V1
 configs:
 - config_name: default
   data_files:
@@ -38,26 +38,26 @@ dataset_info:
 
 ### Getting Started
 
-The OpenSERP-V1 dataset includes full embeddings for over 50 million high-quality documents. This extensive collection encompasses the majority of content from sources like Arxiv, Wikipedia, Project Gutenberg, and includes quality-filtered CC data.
+The OpenWebSearch-V1 dataset includes full embeddings for over 50 million high-quality documents. This extensive collection encompasses the majority of content from sources like Arxiv, Wikipedia, Project Gutenberg, and includes quality-filtered CC data.
 
-To access and utilize the OpenSERP-1B dataset, you can download it via HuggingFace with the following Python code:
+To access and utilize the OpenWebSearch-1B dataset, you can stream it via HuggingFace with the following Python code:
 
 ```python
 from datasets import load_dataset
-ds = load_dataset("SciPhi/OpenSERP-V1")
-
-# Optional, load just the "arxiv" dataset
-ds = load_dataset("SciPhi/OpenSERP-V1", "arxiv")
+# To stream the entire dataset:
+ds = load_dataset("SciPhi/OpenWebSearch-V1", data_files="**/*", streaming=True)
 
+# Optional, stream just the "arxiv" dataset
+ds = load_dataset("SciPhi/OpenWebSearch-V1", data_files="arxiv/*", streaming=True)
 ```
 
 ---
 
-A full set of scripts to recreate the dataset from scratch can be found [here](https://github.com/SciPhi/OpenSERP).
+A full set of scripts to recreate the dataset from scratch can be found [here](https://github.com/SciPhi/OpenWebSearch).
 
 ### Dataset Summary
 
-OpenSERP is divided into a number of categories, similar to RedPajama-V1.
+OpenWebSearch is divided into a number of categories, similar to RedPajama-V1.
 
 
 | Dataset        | Token Count |

stack-exchange/chunk_0.parquet

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