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.Gome-GPT5-Traces
Dataset: GPT-5 Kaggle Agent Traces (Gome)
This folder contains the raw parallel-trace execution logs from the Gome (GPT-5, 12 h, 1*V100) experiments reported in:
Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search
[Paper]
The three files here correspond to three of those traces running across 40 Kaggle competitions. Each trace records the full hypothesis → code → execution → feedback loop.
Note: These are raw per-trace logs and do not include the final multi-seed… See the full description on the dataset page: https://huggingface.co/datasets/amstrongzyf/Gome-GPT5-Traces.gomodel-tool-reinforced
GoModel Tool-Reinforced Dataset
A tool-reinforced instruction dataset for training Go coding assistants. It combines Go code tasks with examples that teach a model when and how to use repository and Go development tools.
Tools
read_file
search_code
list_functions
get_imports
write_file
go_vet
go_build
Dataset statistics
Split
File
Examples
Bytes
train
train_tool_reinforced.jsonl
1,732
3,726,144
eval
eval_tool_reinforced.jsonl
193
408… See the full description on the dataset page: https://huggingface.co/datasets/mencosk/gomodel-tool-reinforced.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.