datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Tau2-Bench-Airline-With-Code-Agents
Dataset Card for a Code Agent Version of Tau Bench 2 Airline
Dataset Summary
This dataset includes sample traces and associated metadata from multi-turn interactions between an code agent and AI assistant. The dataset is based on the Airline environment from Tau^2 Bench and contains traces from both the original version and a version made at Snorkel AI using code agents to solve the same tasks (indicator in the version field; details below).
Curated by: Snorkel AI… See the full description on the dataset page: https://huggingface.co/datasets/snorkelai/Tau2-Bench-Airline-With-Code-Agents.agent-code-rl-artifacts
Agent Code RL Artifacts
Recovered process data from a code-generation Agent project covering SFT,
Monte Carlo rollout, process reward modeling, and veRL GRPO. This repository
contains benchmark-derived records and AI-generated content; it is not a
human-authored-only dataset.
Related SFT adapter:
keryszhan/qwen2.5-coder-7b-code-plan-sft.
Data stages
Config
Purpose
Important boundary
splits
Canonical HumanEval/MBPP-derived task splits
grpo_evaluation is… See the full description on the dataset page: https://huggingface.co/datasets/keryszhan/agent-code-rl-artifacts.arxiv-to-code-agentic-tool-calling
arxiv-to-code-agentic-tool-calling
Multi-turn tool-calling dataset where an assistant implements ML papers in PyTorch through file-creation and command-execution tool calls.
Built from lucidrains' (Phil Wang) open-source paper implementations. There are ~217 repositories on Codeberg, each implementing a different ML paper. This dataset reverse-engineers those into synthetic coding conversations.
What's in it
199 conversations, each covering one repository. Every… See the full description on the dataset page: https://huggingface.co/datasets/SultanR/arxiv-to-code-agentic-tool-calling.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.context-primitive-code-agent-pack-v0
Context Primitive Code-Agent Pack v0 — Free Funnel
Free product-specific instruction / Q&A seed material from Primitive Origins’ Context Primitive / Foundry tests.
This is a marketing / companion corpus for the Context Primitive stack — not a general public code-agent marketplace hero SKU.
What’s inside
JSONL splits under data/:
behavior_qa.train.jsonl / .eval.jsonl
instruction_test_generation.train.jsonl / .eval.jsonl
foundry/python_test_generation.*… See the full description on the dataset page: https://huggingface.co/datasets/Primitive-Origins/context-primitive-code-agent-pack-v0.synthetic-code-agent-trajectories
For buyers
To purchase the full dataset, contact me via telegram.
@HecklerKoch416C
Synthetic Code Agent Trajectories (Sample)
125 synthetic agent trajectories for training and evaluating code agents in a Python sandbox.
Each trajectory is a complete, multi-step interaction where an AI agent solves a programming task using real tools: writing files, reading them, executing Python code in an isolated sandbox, and observing the actual output.
What's… See the full description on the dataset page: https://huggingface.co/datasets/Jurgen1161/synthetic-code-agent-trajectories.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.code-agent-corpus
Synthetic Code-Agent Run Corpus (Projected)
⚠️ SYNTHETIC DATA — NOT REAL PRODUCTION TELEMETRY.
This dataset is synthetically generated for capacity planning / illustration of a
code-fixing agent platform's data pipeline. It does not contain real user data, real
repositories, real credentials, or real production captures. Identifiers and entity names
are anonymized (repo-A…repo-E) and run IDs/timestamps are fabricated.
What this is
A representative, labeled… See the full description on the dataset page: https://huggingface.co/datasets/Collaops/code-agent-corpus.