| --- |
| license: apache-2.0 |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - distillation |
| - reasoning-traces |
| - function-calling |
| - synthetic |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # scram-curriculum: the training set behind Scram-0.8B |
|
|
| 17,837 verified teacher traces. This is the *complete* supervised fine-tuning set used |
| to train [negativevoid/Scram-0.8B-6bit](https://huggingface.co/negativevoid/Scram-0.8B-6bit), |
| published so the recipe is checkable rather than merely described. |
|
|
| ## How it was made |
|
|
| Traces were generated by Qwen3.5-4B and Qwen3.5-9B, then **kept only if the final |
| answer exactly matched gold**. Roughly 7% of generations were discarded by that filter. |
| Verification is final-answer-only: no one checked that the intermediate reasoning is |
| sound, so a trace can reach the right answer by a wrong route. Treat the reasoning as |
| teacher output, not as ground truth. |
|
|
| ## Composition |
|
|
| | kind | rows | what it teaches | |
| |---|---|---| |
| | reason | 10,612 | multi-step chains (arithmetic 1,241 · syllogism 1,653 · ordering 1,566 · boolean 1,944 · codetrace 1,343 · gsm8k 3,665) | |
| | tool | 1,595 | JSON-convention tool calls | |
| | copy | 1,200 | retrieval-grounded answering from notes | |
| | pytool | 1,000 | pythonic call convention | |
| | negation | 800 | scope and negation handling | |
| | distract | 600 | irrelevant-note resistance | |
| | synth | 600 | multi-note synthesis | |
| | factory-pos / factory-ref | 400 / 300 | schema-driven call construction and its refusal corner | |
| | missing-param | 400 | asking for absent arguments instead of inventing them | |
| | refusal | 330 | declining out-of-scope requests | |
|
|
| The refusal splits are deliberately class-separated. We found the classes do **not** |
| cross-transfer: teaching wrong-tool refusal does nothing for missing-param refusal. |
| Class coverage mattered more than data volume. |
|
|
| ## Provenance and licensing |
|
|
| - **3,665 rows (21%) are GSM8K-derived** — questions from |
| [openai/gsm8k](https://huggingface.co/datasets/openai/gsm8k) *train* split (MIT), |
| with traces generated by us. **Consequence: any GSM8K evaluation of the resulting |
| model measures trained capability, not transfer.** Disjointness from the frozen |
| probe is asserted by exact question match at build time. |
| - The remaining reasoning items are **fully synthetic with zero real-world entities** |
| (invented nouns like "Kreskarnpre", "zlupsnus"), so they cannot be answered from |
| memorized world knowledge. |
| - Tool schemas are synthetic. The model consequently underperforms on real-world |
| function inventories (BFCL simple AST 46 vs Hammer2.1-0.5b's 66) — if you fine-tune |
| on this, expect to add your own domain schemas. |
| - Teacher outputs come from Qwen3.5 (Apache-2.0). This dataset is Apache-2.0. |
|
|
| ## Eval hygiene |
|
|
| Checked at publication: **zero overlap** between these 17,809 unique prompts and every |
| held-out suite used to evaluate the model (reason n=300, heldout n=80, gsm8k probe |
| n=100, know n=301). The evaluation instruments themselves are deliberately **not** |
| published — releasing them would contaminate them for everyone. |
|
|
| ## Format |
|
|
| One JSON object per line: |
|
|
| ```json |
| {"question": "...", "trace": "...", "answer": "D", "family": "ordering", "kind": "reason"} |
| ``` |
|
|
| Rows of `kind: tool`/`pytool`/`refusal` etc. use `prompt` instead of `question` and |
| carry no `answer` field (the trace is the target). |
|
|
