
Denormalized dataset created by processing OpenAI's [PRM800K](https://github.com/openai/prm800k/tree/main) process supervision dataset via [prm800k-denorm](https://github.com/scottlogic-alex/prm800k-denorm).  
We include every conversation turn (i.e. "what's been said so far" + "the next step in the conversation"), good and bad. Plus the human evaluator's rating of whether it was a good or bad response.  
You could use this for training a classifier.

Dataset description and usage instructions in [prm800k-denorm README](https://github.com/scottlogic-alex/prm800k-denorm/blob/main/README.md).
license:mit region:us
{"license": "mit"}
TAGS
#license-mit #region-us 


Denormalized dataset created by processing OpenAI's PRM800K process supervision dataset via prm800k-denorm.  
We include every conversation turn (i.e. "what's been said so far" + "the next step in the conversation"), good and bad. Plus the human evaluator's rating of whether it was a good or bad response.  
You could use this for training a classifier.

Dataset description and usage instructions in prm800k-denorm README.
TAGS
#license-mit #region-us 

passage: TAGS
#license-mit #region-us 
