datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
zarn-workflow-automation-instruct
Zarn Workflow Automation Instruct
Dataset Description
Natural-language workplace requests paired with plans and JSON tool actions.
Team Attribution
This dataset was created and reviewed by the Zarnite team through internal benchmark design, generation, and quality-control workflows. It should be presented as a Zarnite-authored benchmark starter pack, not as a purely human-collected field corpus.
Ecosystem Need Tier
High Ecosystem Need
Why… See the full description on the dataset page: https://huggingface.co/datasets/zarnite/zarn-workflow-automation-instruct.ai_agent_and_automation_dataset_v1_jsonlAI Agent & Automation Synthetic Scenarios — 100 JSONL Dataset
Dataset Summary
This dataset contains 100 high-fidelity synthetic scenarios designed to evaluate, benchmark, and train autonomous AI agents, workflow orchestration systems, decision-making models, and multi-agent frameworks.
Each scenario is written in strict JSONL format, with one JSON object per line.
The scenarios span 10 operational domains, covering both simple and complex multi-agent environments, ambiguity resolution… See the full description on the dataset page: https://huggingface.co/datasets/vnovaai/ai_agent_and_automation_dataset_v1_jsonl.automation-txtsimp-training-pipelineautomation-error-index
Automation Error Index
A structured, machine-readable catalogue of real error messages across automation and
AI-coding tools — n8n, Make, Zapier, Power Automate, UiPath, Cursor, Claude Code, and
agent frameworks (LangChain, CrewAI, AutoGen, OpenAI Agents SDK) — each with a one-line
cause, a concise fix, and a link to its source.
Maintained by AutomateLab. Browse it as an interactive table at
https://automatelab.tech/products/datasets/automation-error-index/.… See the full description on the dataset page: https://huggingface.co/datasets/automatelab/automation-error-index.PICK
PICK
This dataset was generated using phosphobot.
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot.
To get started in robotics, get your own phospho starter pack..
simp-trader-dataset
SIMP SIMP QuantumArb Trader — Identity Training Data
167 training examples for the SIMP QuantumArb Trader agent.
Format
JSONL with messages array (system/user/assistant).
Training
from datasets import load_dataset
dataset = load_dataset("automationkasey/simp-trader-dataset", split="train")
agent-orchestrator-datasetautomation-errorsbrp-dataset
BRP Dataset — Bill Russell Protocol
524 training pairs for fine-tuning LLMs on BRP-specific tasks:
Domains
brp_threat (201 pairs) — Threat scoring, auto_threat, conditional responses
brp_operations (105 pairs) — Scenario handling, protocol flow, when_action
brp_knowledge (115 pairs) — Concept definitions, FAQs, how-it-works
brp_vulnerability (23 pairs) — Self-vulnerability assessment
brp_decision (23 pairs) — Decision type classification
brp_policy (20 pairs) — Policy… See the full description on the dataset page: https://huggingface.co/datasets/automationkasey/brp-dataset.codex-legalx-datasetautomation_rules.json