size_categories:10K<n<100K format:parquet modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: source
    dtype: string
  - name: instruction
    dtype: string
  - name: best_response
    struct:
    - name: annotations
      struct:
      - name: helpfulness
        struct:
        - name: Rating
          dtype: string
        - name: Rationale
          dtype: string
        - name: Rationale For Rating
          dtype: string
        - name: Type
          sequence: string
      - name: honesty
        struct:
        - name: Rating
          dtype: string
        - name: Rationale
          dtype: string
      - name: instruction_following
        struct:
        - name: Rating
          dtype: string
        - name: Rationale
          dtype: string
      - name: truthfulness
        struct:
        - name: Rating
          dtype: string
        - name: Rationale
          dtype: string
        - name: Rationale For Rating
          dtype: string
        - name: Type
          sequence: string
    - name: critique
      dtype: string
    - name: custom_system_prompt
      dtype: string
    - name: model
      dtype: string
    - name: overall_score
      dtype: float64
    - name: principle
      dtype: string
    - name: response
      dtype: string
  - name: best_model
    dtype: string
  - name: best_score
    dtype: float64
  - name: random_response
    struct:
    - name: annotations
      struct:
      - name: helpfulness
        struct:
        - name: Rating
          dtype: string
        - name: Rationale
          dtype: string
        - name: Rationale For Rating
          dtype: string
        - name: Type
          sequence: string
      - name: honesty
        struct:
        - name: Rating
          dtype: string
        - name: Rationale
          dtype: string
      - name: instruction_following
        struct:
        - name: Rating
          dtype: string
        - name: Rationale
          dtype: string
      - name: truthfulness
        struct:
        - name: Rating
          dtype: string
        - name: Rationale
          dtype: string
        - name: Rationale For Rating
          dtype: string
        - name: Type
          sequence: string
    - name: critique
      dtype: string
    - name: custom_system_prompt
      dtype: string
    - name: model
      dtype: string
    - name: overall_score
      dtype: float64
    - name: principle
      dtype: string
    - name: response
      dtype: string
  - name: random_model
    dtype: string
  - name: random_score
    dtype: float64
  - name: correct_answers
    sequence: string
  - name: incorrect_answers
    sequence: string
  splits:
  - name: train
    num_bytes: 447221757
    num_examples: 63967
  download_size: 199896433
  dataset_size: 447221757
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Dataset Card for "ultrafeedback_binarized_full"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)