Real dataset and Reflexion

Hi,

Thanks for creating this benchmarking dataset. This will be very helpful on building autonomous scientific discovery using LLMs.

I noticed the paper mentioned there were 264 tasks in the 'real' set but this repository has 283 'queries' in the metadata json files and the answer_key_real.csv has 239 rows. I'm wondering what in this repo is defined as the task in the paper. Can you give a hint on how to find those 264 tasks and the answers?

Besides, is it possible that you can share the prompt to run the Reflexion (oracle) method? Thanks!