README.md

---
dataset_info:
  features:
  - name: feedback
    dtype: string
  - name: generations
    dtype: string
  - name: input
    dtype: string
  - name: labelling_model
    dtype: string
  - name: labelling_prompt
    dtype: string
  - name: raw_labelling_response
    dtype: string
  - name: critique
    dtype: 'null'
  - name: score
    dtype: 'null'
  splits:
  - name: train
    num_bytes: 6039711
    num_examples: 1000
  download_size: 2645043
  dataset_size: 6039711
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

Used UltraCM to feedback on feedback-collection dataset. 
So now we have a reference and generated feedback.