Datasets:
File size: 1,316 Bytes
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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.
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