tool-routing
scugnizz-tool-sft-v4-routingnanochat-tool-routing-v1-65k-20260714
Nanochat Tool Routing and Continuation
This deterministic corpus teaches a decoder to choose among four declared
functions, answer directly when the request already contains the answer, ask for
missing required arguments, and continue after a masked tool result. Because
this is pretraining rather than SFT, the natural system and user text remains
ordinary supervised language-model data. Only external tool results are visible
context excluded from causal-LM loss.
Train examples:… See the full description on the dataset page: https://huggingface.co/datasets/SolidSnake123/nanochat-tool-routing-v1-65k-20260714.math-gsm8k-tool-routing
Math Tool Routing Dataset
This dataset is a controlled educational mathematics tool-selection dataset constructed from MATH and GSM8K problems.
Dataset Description
The dataset contains prompts mapped to one of four educational tool labels:
Step_solver
Answer_checker
Hint_generator
Concept_generator
It is designed for tool-selection fine-tuning, routing evaluation, and mechanistic interpretability analysis.
Data Splits
Split
File
Train… See the full description on the dataset page: https://huggingface.co/datasets/ZhengYu89/math-gsm8k-tool-routing.