adout second iteration and new_instruction

[Git-L1]

hi, thanks for release your code.I have some small questions to ask you.
The code you provided is for one iteration, so what is the input dataset for the second iteration? Is it the train_cool that has been replaced in the diagram, and where is cache_pool reflected in the code?
Then,Does the new_instruction generated in the diagram refer to the merger of new_hard and new_easy?
Looking forward to your early reply.
thanks!

[YJiangcm]

Thanks for your interest in our work. Let me illustrate it using an example:

In the first iteration, the train_pool and cache_pool are both 52,000 Alpaca instructions and we generate 3,000 new_hard and 3,000 new_easy (the combination of them is regarded as new_instruction).

Therefore, in the second iteration, the train_pool would be exactly the 6,000 new_instruction. The cache_pool would be the instructions from the previous iteration plus the new_instruction, which are 58,000 instructions in total.