| --- |
| license: mit |
| language: |
| - en |
| task_categories: |
| - text-generation |
| tags: |
| - instruction-tuning |
| - tool-calling |
| - math |
| - dfm11 |
| pretty_name: dfm11-mathagentic-tinygsm-python |
| --- |
| |
| # dfm11-mathagentic-tinygsm-python |
|
|
| English arithmetic word problems converted into native Python tool-call trajectories with precomputed tool responses and boxed final answers. |
|
|
| ## Contents |
|
|
| - Rows: 367,749 |
| - Shards: 4 |
| - Format: deterministic gzip JSON Lines in `data/train-*.jsonl.gz` |
| - Schema: `tools`, four-message native tool trajectory, execution metadata, |
| stable source ID, source revision, and admission status |
| - Intended repository: `schneiderkamplab/dfm11-mathagentic-tinygsm-python` |
|
|
| Each row contains a user problem, an assistant tool call, a precomputed tool |
| response, and a terminal assistant response containing exactly one boxed final |
| answer. It is directly consumable by Mathagentic/HRM-Text's Gemma 4 native |
| tool-call rendering path; no executor is used during training. |
|
|
| ## Upstream datasets |
|
|
| - `TinyGSM/TinyGSM` |
|
|
| ## Selection and verification |
|
|
| Deterministic 1-in-20 source sample; restricted-Python validation and execution; independent Gemma 4 26B A4B semantic audit; accepted verdicts only. |
|
|
| The semantic audit covered 500,000 candidates and accepted 367,749 (73.55%). Rejected rows are not packaged. |
|
|
| The package contains source trajectories, not tokenized arrays or sampled epoch |
| indices. Packaging does not itself admit the dataset into a DFM11 data mix. |
| The approved DFM11 sampling policy is to deterministically cap to 50,000 distinct rows per epoch, with repeat |
| `1`. This policy does not remove rows from the published |
| source package. |
|
|
| ## License and citation review |
|
|
| The upstream TinyGSM dataset declares the MIT license. Preserve its attribution. |
|
|
| ## Validate |
|
|
| ```bash |
| python validate_dataset.py |
| ``` |
|
|
