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metadata
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.