datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
smoltrace-aiops-tasks
SMOLTRACE Synthetic Dataset
This dataset was generated using the TraceMind MCP Server's synthetic data generation tools.
Dataset Info
Tasks: 104
Format: SMOLTRACE evaluation format
Generated: AI-powered synthetic task generation
Usage with SMOLTRACE
from datasets import load_dataset
# Load dataset
dataset = load_dataset("MCP-1st-Birthday/smoltrace-aiops-tasks")
# Use with SMOLTRACE
# smoltrace-eval --model openai/gpt-4 --dataset-name… See the full description on the dataset page: https://huggingface.co/datasets/MCP-1st-Birthday/smoltrace-aiops-tasks.aiopsaiops-gemma
AIOps Gemma — Instruction Fine-Tuning Dataset
Training data used to fine-tune Gemma 4 E2B into a structured-output AIOps orchestration agent.
Each example pairs a multi-domain infrastructure alert with a JSON remediation schema covering
Kubernetes, Nutanix, VMware, Active Directory, ADFS, PKI, and Windows Server.
The fine-tuned model and conversion pipeline live at
htunn/gemma-4-e2b-aiops-hf and
htunn/gemma-4-e2b-aiops-gguf.
Dataset Structure
Split
File… See the full description on the dataset page: https://huggingface.co/datasets/htunn/aiops-gemma.AIOps_trainingaiopsmirror-aiopsaiops_finetuning_qaset