update patrial introduction in readme.

README.md

@@ -11,6 +11,7 @@ tags:
 
 Knowledge Pile is a knowledge-related data leveraging [Query of CC](https://arxiv.org/abs/2401.14624).
 
+We upload a patrial dataset of **Knowledge Pile**, if you want to get all data, please contact [email protected], [email protected]
 
 ## *Query of CC*
 
@@ -20,7 +21,7 @@ Just like the figure below, we initially collected seed information in some spec
 
 ## **Knowledge Pile** Statistics
 
-Based on *Query of CC* , we have formed a high-quality knowledge dataset **Knowledge Pile**, which maintains about 900GB disk and 300B tokens (using Llama2 tokenizer). As shown in Figure below, comparing with other datasets in academic and mathematical reasoning domains, we have acquired a large-scale, high-quality knowledge dataset at a lower cost, without the need for manual intervention. Through automated query bootstrapping, we efficiently capture the information about the seed query. **Knowledge Pile** not only covers mathematical reasoning data but also encompasses rich knowledge-oriented corpora spanning various fields such as biology, physics, etc., enhancing its comprehensive research and application potential.
+Based on *Query of CC* , we have formed a high-quality knowledge dataset **Knowledge Pile**. As shown in Figure below, comparing with other datasets in academic and mathematical reasoning domains, we have acquired a large-scale, high-quality knowledge dataset at a lower cost, without the need for manual intervention. Through automated query bootstrapping, we efficiently capture the information about the seed query. **Knowledge Pile** not only covers mathematical reasoning data but also encompasses rich knowledge-oriented corpora spanning various fields such as biology, physics, etc., enhancing its comprehensive research and application potential.
 
 
 <img src="https://github.com/ngc7292/query_of_cc/blob/master/images/query_of_cc_timestamp.png?raw=true" width="300px" style="center"/>