datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cross-hardware-reproducibility
Cross-hardware reproducibility of LLM evaluation results (item level)
Same model, same prompts, same decode settings, different machine: does each item get the same
answer? This dataset holds the item-level evidence behind the preprint "Same model, same prompts,
different answers: item-level cross-hardware reproducibility of LLM evaluation results"
(Nicholas Templeman, CSOAI Ltd (Council of AI), 2026). The PDF is in this repository:
paper/paper.pdf; its LaTeX source, with the… See the full description on the dataset page: https://huggingface.co/datasets/csoai/cross-hardware-reproducibility.hardware-cvdp-problems
Hardware Design AI Training Dataset
This dataset contains processed hardware design problems and Verilog code for training AI models.
Contents
CVDP Problems: 160 evaluation problems organized by domain and complexity
Training Data: Instruction-code pairs for hardware design
Metadata: Rich annotations for each problem
Usage
from datasets import load_dataset
dataset = load_dataset("AbiralArch/hardware-cvdp-problems")
Categories
Module Generation… See the full description on the dataset page: https://huggingface.co/datasets/AbiralArch/hardware-cvdp-problems.firewall-hardware-end-of-life-dates-by-brand
Firewall and network security appliance hardware end-of-life dates by brand
Canonical, always-current version: https://referencesource.org/firewall-hardware-end-of-life-dates-by-brand/
Machine-readable: https://referencesource.org/firewall-hardware-end-of-life-dates-by-brand/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-26
Stale after: 2027-02-22 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records:… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/firewall-hardware-end-of-life-dates-by-brand.r1-h4-trigger-hardware-15fpsmodelfit-hardware-dataset
ModelFit Local LLM Hardware Compatibility Dataset
Which local AI models fit which hardware. Maps 107 LLMs (75 of them local-capable via Ollama, llama.cpp or LM Studio) to RAM/VRAM requirements at Q4_K_M quantization, so you can look up "will this model run on my machine" without guessing.
Source of truth: modelfit.io/data. This dataset is a mirror of the live JSON export at modelfit.io/api/dataset, refreshed from the same GitHub repo that generates it:… See the full description on the dataset page: https://huggingface.co/datasets/weckoai/modelfit-hardware-dataset.hardware-verilogeval-v2
hardware-verilogeval-v2
VerilogEval v2 - 471 Verilog evaluation problems
Dataset Overview
This dataset is part of a comprehensive collection of hardware design datasets for training and evaluating LLMs on Verilog/SystemVerilog code generation and hardware design tasks.
Files
verilog_eval_problems.json: 471 VerilogEval v2 problems
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset('AbiralArch/hardware-verilogeval-v2')… See the full description on the dataset page: https://huggingface.co/datasets/AbiralArch/hardware-verilogeval-v2.ai-hardware-roadmap-2026
ai-hardware-roadmap-2026
AI chip roadmap — H100/H200/B200/MI300X/GB200 specs, pricing, availability
Records: 15 | Updated: 2026-10-01
API: GET https://api.legion-api.com/hardware-roadmap
Bundle: gemmo.gumroad.com/l/mdevxu
Access gated — approved automatically.
grand-master-hardware-expert-litedefendable-pain-data-center-hardware-failure-v0.1
DC Hardware Failure Pain Receipt
"the rack down" — Mr. Defendable
A free pain-receipt dataset from the DefendableOS ecosystem. 7 rows · ready to read · all cited or graded · CC-BY-4.0.
Part of the 100-pack — 100 free pain-receipt datasets dropped from the Defendable Bakery to the open AI-trust community. Different theme per dataset. Same operator voice across all of them.
Tribunal begins before training. No proof, no honey. To the shed.
What's in here
7 pain… See the full description on the dataset page: https://huggingface.co/datasets/SwarmandBee/defendable-pain-data-center-hardware-failure-v0.1.ai-ai-hardware-2026hardwarerecs.meta.stackexchange.comhardwarerecs.stackexchange.comhardware-profiles
Hardware Profiles
Phone hardware profiles for estimating mobile LLM inference speed.
Snapdragon 865 (Samsung S20 FE) is the verified baseline.
🚀 dispatchAI
hardware-shailja-vgen
hardware-shailja-vgen
Shailja VGen Collection - 87 Verilog files
Dataset Overview
This dataset is part of a comprehensive collection of hardware design datasets for training and evaluating LLMs on Verilog/SystemVerilog code generation and hardware design tasks.
Files
vgen_files.json: 87 Verilog files from VGen framework
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset('AbiralArch/hardware-shailja-vgen')
# Access… See the full description on the dataset page: https://huggingface.co/datasets/AbiralArch/hardware-shailja-vgen.schemaforge-tech-news-and-hardware-3
www.theverge.com
Auto-refined by SchemaForge
Metadata
Topic: Tech News and Hardware
Quality Score: 0.92
Source: Autonomous web scraper
Extracted Facts
Apple is considering a screen-free wearable.
Dropbox is a PC builder's best friend.
The Pixel Watch 5 is getting a Steph Curry edition.
Arturia's Pigments is a powerful and versatile synth plugin.
Tom Vek is building a digital music player.
Roland is celebrating 808 day with a free ebook.… See the full description on the dataset page: https://huggingface.co/datasets/GudduButt/schemaforge-tech-news-and-hardware-3.