README.md

metadata

language:
  - en
  - code
license: apache-2.0
task_categories:
  - text-generation
tags:
  - code
  - instruction-tuning
  - python
  - chatml
size_categories:
  - 1K<n<10K
configs:
  - config_name: default
    data_files:
      - split: validation
        path: data/validation-*
dataset_info:
  features:
    - name: conversations
      list:
        - name: role
          dtype: string
        - name: content
          dtype: string
    - name: source
      dtype: string
  splits:
    - name: validation
      num_bytes: 1325626
      num_examples: 3000
  download_size: 75651
  dataset_size: 1325626

AxiomCode-Instruct

A synthetic instruction-tuning dataset of Python coding tasks in ChatML conversation format, designed to fine-tune a small code assistant model.

Format

Each row contains a conversations list with a user turn (natural-language instruction) and an assistant turn (raw Python solution), plus a source tag indicating the category.

{"conversations": [{"role": "user", "content": "<prompt>"}, {"role": "assistant", "content": "<code>"}], "source": "<tag>"}

Categories

• string_utils
• math
• list_ops
• dict_collections
• algorithms
• file_io
• oop
• recursion

Generation

Generated deterministically with seed 42 from templates, parametrization, and randomization. No external data or API calls were used.