size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: industry_sector
    dtype: string
  - name: topic
    dtype: string
  - name: code_complexity
    dtype: string
  - name: code_concept
    dtype: string
  - name: instruction_phrase
    dtype: string
  - name: instruction
    dtype: string
  - name: code
    dtype: string
  - name: code_is_valid
    dtype: bool
  - name: code_pylint_score
    dtype: float64
  - name: code_pylint_severity
    dtype: string
  - name: code_pylint_messages
    list:
    - name: category
      dtype: string
    - name: column
      dtype: int64
    - name: line
      dtype: int64
    - name: msg
      dtype: string
    - name: symbol
      dtype: string
  - name: judged_by_llm
    dtype: bool
  - name: text_to_python_llm_judge_results
    struct:
    - name: efficiency
      struct:
      - name: reasoning
        dtype: string
      - name: score
        dtype: int64
    - name: pythonic
      struct:
      - name: reasoning
        dtype: string
      - name: score
        dtype: int64
    - name: readability
      struct:
      - name: reasoning
        dtype: string
      - name: score
        dtype: int64
    - name: relevance
      struct:
      - name: reasoning
        dtype: string
      - name: score
        dtype: int64
  splits:
  - name: train
    num_bytes: 28160
    num_examples: 10
  download_size: 34987
  dataset_size: 28160
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
