Attention: This dataset is a summary and reformat pulled from github code.

You should make your own assumptions based on this. In fact, there is another dataset I formed through parsing that addresses several points:

• out of 500k python related items, most of them are python-ish, not pythonic
• the majority of the items here contain excessive licensing inclusion of original code
• the items here are sometimes not even python but have references
• There's a whole lot of gpl summaries floating on the code responses or instructions

As such, you are probably not getting good data to begin with, but this should be used as a starting point at best. You have been warned.