size_categories:10K<n<100K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: problem
    dtype: string
  - name: generated_solution
    dtype: string
  - name: answer
    dtype: string
  - name: problem_source
    dtype: string
  - name: response@0
    sequence: string
  - name: response@0_ans
    sequence: string
  - name: response@0_correctness
    sequence: bool
  splits:
  - name: train
    num_bytes: 268321358.13333333
    num_examples: 80000
  download_size: 104800840
  dataset_size: 268321358.13333333
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

This dataset is trying to match the questions and 1st turn answer of `RyanYr/reflect_llama8b-t0_mistlarge-t12_om2-300k_correction_80k`, to have an apple to apple comparison between multi-agent improvement with generative critic and non-generative critic. 

But the problems set and order is not identical to `RyanYr/reflect_llama8b-t0_mistlarge-t12_om2-300k_correction_80k`. Instead, it is sampled from `RyanYr/reflect_llama8b-t0_mistlarge-t12_om2-300k_binlabel`. 