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README.md

@@ -1,23 +1,46 @@
 ---
-dataset_info:
-  features:
-  - name: conversations
-    list:
-    - name: role
-      dtype: string
-    - name: content
-      dtype: string
-  - name: source
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 1325626
-    num_examples: 3000
-  download_size: 75651
-  dataset_size: 1325626
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+language:
+- en
+- code
+license: apache-2.0
+task_categories:
+- text-generation
+tags:
+- code
+- instruction-tuning
+- python
+- chatml
+size_categories:
+- 1K<n<10K
 ---
+
+# 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.