Datasets:

Modalities:
Text
Formats:
json
Languages:
English
ArXiv:
Libraries:
Datasets
Dask
License:
ngc7293 commited on
Commit
c8a10a5
·
verified ·
1 Parent(s): f594c11

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ Just like the figure below, we initially collected seed information in some spec
22
  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.
23
 
24
 
25
- <img src="https://github.com/ngc7292/query_of_cc/blob/master/images/query_of_cc_timestamp.png?raw=true" width="300px" style="center"/>
26
 
27
 
28
  This table presents the top 10 web domains with the highest proportion of **Knowledge Pile**, primarily including academic websites, high-quality forums, and some knowledge domain sites. Table provides a breakdown of the data sources' timestamps in **Knowledge Pile**, with statistics conducted on an annual basis. It is evident that a significant portion of **Knowledge Pile** is sourced from recent years, with a decreasing proportion for earlier timestamps. This trend can be attributed to the exponential growth of internet data and the inherent timeliness introduced by the **Knowledge Pile**.
 
22
  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.
23
 
24
 
25
+ <img src="https://github.com/ngc7292/query_of_cc/blob/master/images/query_of_cc_timestamp_prop.png?raw=true" width="300px" style="center"/>
26
 
27
 
28
  This table presents the top 10 web domains with the highest proportion of **Knowledge Pile**, primarily including academic websites, high-quality forums, and some knowledge domain sites. Table provides a breakdown of the data sources' timestamps in **Knowledge Pile**, with statistics conducted on an annual basis. It is evident that a significant portion of **Knowledge Pile** is sourced from recent years, with a decreasing proportion for earlier timestamps. This trend can be attributed to the exponential growth of internet data and the inherent timeliness introduced by the **Knowledge Pile**.