datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
agentic-code
Unified Agentic Coding CoT Dataset
This dataset is a curated fusion of high-quality agentic coding trajectories, specifically optimized for fine-tuning small, high-performance models like Qwen2.5-Coder-0.5B-Instruct. It combines systematic reasoning (Chain-of-Thought) with practical tool-use and code editing capabilities.
Dataset Summary
The dataset unifies two primary sources into a single, instruction-following format:… See the full description on the dataset page: https://huggingface.co/datasets/FlameF0X/agentic-code.agentic-code-sft-mix-v1
Agentic Code SFT Mix v1
Local derived SFT mixture for code-agent/tool-use training.
This is not a single upstream dataset. It is a filtered local mixture built from:
nvidia/OpenCodeInstruct, split train
nvidia/Nemotron-SFT-OpenCode-v1, splits general, bash_only_tool, bash_only_tool_skills, question_tool, agent_skills, agent_skills_question_tool
nvidia/Nemotron-SFT-SWE-v2, split agentless
nvidia/Nemotron-SFT-SWE-v2, file data/swe.jsonl
The output schema is JSONL with messages… See the full description on the dataset page: https://huggingface.co/datasets/synquid/agentic-code-sft-mix-v1.CodeAgent-Trajectories
CodeAgent-Trajectories
A dataset of 130 successful CodeAgent trajectories for training models to follow the smolagents CodeAgent format.
Dataset Description
This dataset contains complete conversation trajectories demonstrating how to solve coding tasks using the CodeAgent Thought + Code pattern.
Format
Each example contains:
task: The problem to solve (string)
messages: Complete conversation history (list of role/content dicts)
duration_seconds: Time taken to… See the full description on the dataset page: https://huggingface.co/datasets/krzysztofwos/CodeAgent-Trajectories.reap-agent-code
reap-agent-code
Dataset Summary
reap-agent-code is a REAP-style mixed dataset for training LLM coding agents.
It is optimized for agentic coding behavior: writing code, debugging, and tool use.
Each row is JSONL with the schema:
{"text": "..."}
Dataset Composition
Source
Ratio
Count
Signal
evol
45%
9 000
Instruction-to-code
swe
25%
5 000
Bug-fix / problem-solving
xlam
30%
6 000Tool / function calling
Total: 20 000 unique deduplicated… See the full description on the dataset page: https://huggingface.co/datasets/freddm/reap-agent-code.claude-code-agent-blueprints
Claude Code Agent Blueprints — 14-Agent Production Company
Real instruction files for 10 production Claude Code agents running a live AI software company (whoffagents.com). Each record is one agent's complete role definition: scope, KPIs, tools, escalation paths, and collaboration rules.
What's in here
A real company built on 14 Claude Code agents coordinating via PAX Protocol. This dataset releases the actual agent instruction files (AGENTS.md) for the VP-level agents:… See the full description on the dataset page: https://huggingface.co/datasets/WH0FF/claude-code-agent-blueprints.