| --- |
| 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. |
|
|
| ```json |
| {"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. |
|
|
