size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: input
    dtype: string
  - name: generation_model
    dtype: string
  - name: generation_prompt
    dtype: string
  - name: raw_generation_responses
    list:
    - name: choices
      list:
      - name: finish_reason
        dtype: string
      - name: index
        dtype: int64
      - name: logprobs
        dtype: 'null'
      - name: text
        dtype: string
    - name: created
      dtype: int64
    - name: id
      dtype: string
    - name: model
      dtype: string
    - name: object
      dtype: string
    - name: usage
      struct:
      - name: completion_tokens
        dtype: int64
      - name: prompt_tokens
        dtype: int64
      - name: total_tokens
        dtype: int64
  - name: generations
    sequence: string
  - name: labelling_model
    dtype: string
  - name: labelling_prompt
    list:
    - name: content
      dtype: string
    - name: role
      dtype: string
  - name: raw_labelling_response
    dtype: string
  - name: rating
    sequence: float64
  - name: areas
    list:
    - name: Authenticity & Reliability
      struct:
      - name: rating
        dtype: string
      - name: rationale
        dtype: string
    - name: Clarity & Transparency
      struct:
      - name: rating
        dtype: string
      - name: rationale
        dtype: string
    - name: Compliance with Intent
      struct:
      - name: rating
        dtype: string
      - name: rationale
        dtype: string
    - name: Practical Accuracy
      struct:
      - name: rating
        dtype: string
      - name: rationale
        dtype: string
  splits:
  - name: train
    num_bytes: 79809
    num_examples: 5
  download_size: 100998
  dataset_size: 79809
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Dataset Card for "distilabel-docs"

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