llmops
Datasets
All datasets matching “llmops”llmops-database
The ZenML LLMOps Database
To learn more about ZenML and our open-source MLOps framework, visit
zenml.io.
Dataset Summary
The LLMOps Database is a comprehensive collection of over 500 real-world
generative AI implementations that showcases how organizations are successfully
deploying Large Language Models (LLMs) in production. The case studies have been
carefully curated to focus on technical depth and practical problem-solving,
with an emphasis on implementation… See the full description on the dataset page: https://huggingface.co/datasets/zenml/llmops-database.llmops-stack-comparison-2026
The LLMOps Stack 2026 — OpenTelemetry, self-host & pricing models
First-party research dataset from the Lattice network, published open under CC-BY 4.0 with a
permanent DOI. Nothing here is scraped from another dataset — it is computed and published under a
single ORCID-verified byline.
DOI
10.5281/zenodo.20738671
Published by
Nesyona (nesyona.com)
Study page
https://nesyona.com/research/llmops-stack-comparison-2026/
Licence
CC-BY 4.0 — reuse freely with… See the full description on the dataset page: https://huggingface.co/datasets/vincentcouey/llmops-stack-comparison-2026.ai-llmops-index
AI LLMOps Index
A comprehensive reference dataset for LLM operations covering observability platforms, inference cost intelligence, failure mode taxonomy, stack compatibility matrices, and regulatory compliance mapping.
Overview
This dataset catalogs 8+ LLMOps observability and evaluation platforms (Braintrust, Ragas, DeepEval, Promptfoo, Giskard, UpTrain, TruLens, Cleanlab) with structured comparison data.
Dataset Structure
Each entry contains: name, type… See the full description on the dataset page: https://huggingface.co/datasets/alpha-one-index/ai-llmops-index.llmops_testllmops-guide-ift-datasetssmoltrace-llmops-tasks
SMOLTRACE Synthetic Dataset
This dataset was generated using the TraceMind MCP Server's synthetic data generation tools.
Dataset Info
Tasks: 100
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-llmops-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-llmops-tasks.