datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gomodel-go-expert-v4
GoModel Go Expert v4 Dataset
Description
A high-quality dataset for fine-tuning Qwen2.5-Coder-7B to be an expert Go software engineer
with tool-calling capabilities. This is version 4, substantially rebuilt from v3 with:
Structured messages format (not pre-rendered ChatML text)
Go AST-extracted code from real repositories using go/parser
Go 1.26 feature coverage (February 2026 release)
Senior/staff-level engineering content (architecture, distributed systems, API… See the full description on the dataset page: https://huggingface.co/datasets/mencosk/gomodel-go-expert-v4.gomodel-go-expert-v3
GoModel Go Expert v3
Dataset description
GoModel Go Expert v3 is an English instruction and completion dataset for training
Go coding assistants. It combines curated production Go, code-specific synthetic
tasks, and agentic tool trajectories. Every JSONL record contains a full
Qwen2.5-compatible ChatML conversation in its text field.
Key changes from v2
Tool calls now use Qwen2.5's native <tool_call> tags instead of bare JSON.
Tool definitions use… See the full description on the dataset page: https://huggingface.co/datasets/mencosk/gomodel-go-expert-v3.gomodel-go-expert-v2
GoModel Go Expert v2
Dataset description
GoModel Go Expert v2 is an English instruction and completion dataset for training
Go coding assistants. It combines curated production Go with synthetic instruction
tasks and agentic tool trajectories. Version 2 is a new dataset and does not replace
the earlier GoModel repositories. Each JSONL record is already serialized as a full
Qwen-compatible ChatML conversation in its text field.
Data sources
Source… See the full description on the dataset page: https://huggingface.co/datasets/mencosk/gomodel-go-expert-v2.