datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
solana-dex-datasolar-rl
SolarChain-Eval RL Benchmark Data
This dataset contains the release bundle for SolarChain-Eval: A Physics-Constrained Benchmark for Trustworthy Economic Agents in Decentralized Energy Markets.
The benchmark evaluates autonomous economic governors in decentralized solar-energy markets. It combines city-level photovoltaic generation, peer-to-peer demand, market liquidity, token-burn dynamics, physics-constraint checks, baseline policies, trained RL policies, no-physics ablations… See the full description on the dataset page: https://huggingface.co/datasets/global-nomad-nexus/solar-rl.nextplase_projectnexus-fpv
NEXUS FPV Physics Dataset Sampler by webXOS
Auto-generated small FPV drone flight-telemetry and reinforcement-learning for experience sample dataset captured directly in the browser
by NEXUS FPV. Each row is one physics tick recorded while a drone flew through a waypoint course, either under manual control or the built-in PID auto-pilot.
Play the game and make your own datasets: https://webxos.itch.io/nexus-fpv or download it from the /gym/ folder of this repo.
Generator: NEXUS… See the full description on the dataset page: https://huggingface.co/datasets/webxos/nexus-fpv.stableeval-arena
StableEval Arena
StableEval Arena is a historical-replay benchmark for evaluating cost-aware, trustworthy agentic AI systems on stablecoin risk prediction. Each case gives a frozen 30-day lookback packet for USDT, USDC, or DAI and hides the next 7-day horizon labels.
GitHub repository: https://github.com/SeanWan514/StableEval-Arena
Hugging Face dataset: https://huggingface.co/datasets/SeanWan05/stableeval-arena
Benchmark Blocks
Block
Role
Contents… See the full description on the dataset page: https://huggingface.co/datasets/global-nomad-nexus/stableeval-arena.turkish-plu-next-event-predictionHomepage: https://github.com/GGLAB-KU/turkish-plu
nexus-function-callingraw-milk-quality-nys-farmsRaw Milk Quality and Dairy Farm Characteristics (New York State) is a longitudinal tabular dataset linking bulk tank raw milk quality measurements to farm management practices and characteristics across 96 conventional dairy farms in New York State.
With this dataset, researchers can train machine learning models to identify farm-level predictors of raw milk quality outcomes, including microbial counts, somatic cell count, milk composition, and sensory defects.
Content
The dataset… See the full description on the dataset page: https://huggingface.co/datasets/food-ai-nexus/raw-milk-quality-nys-farms.ImpactOfFossilFuelPrice-WACC
ImpactOfFossilFuelPrice-WACC
A compact research dataset for studying how fossil fuel price forecasts and inflation forecasts relate to the weighted average cost of capital (WACC) for energy transition projects.
The release packages cleaned regional WACC panels, forecast covariates, robustness metrics, price-shock elasticities, transmission diagnostics, and Croissant-compatible metadata.
At A Glance
Field
Value
Domain
Climate finance, energy transition… See the full description on the dataset page: https://huggingface.co/datasets/global-nomad-nexus/ImpactOfFossilFuelPrice-WACC.next-woman-abb974
next-woman-abb974
Synthetic products test data: 50 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/Harbor-Michael/next-woman-abb974.CVECPEAPIBenchmarkCodeExercise-Python-27k-EVOLnext_500clinical-tpib-invariant-guided-next-intervention-prediction-v0.1What this dataset tests
Given a patient’s manifold typepredict the top 3 next interventions that are most coherent.
It rewards
manifold-consistent moves
constraint-aware choices
cross-domain suggestions when warranted
It penalizes
repeating tolerance loops
repeating paradoxical worseners
ignoring contraindications
choosing common care without manifold fit
Labels
coherent_top3
partially_coherent_top3
incoherent_top3
Suggested prompt wrapper
System
You propose the… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-tpib-invariant-guided-next-intervention-prediction-v0.1.fecal-indicator-water-nys
Predicting Agricultural Water Quality (PAWQ) Project Datasets
Predicting Agricultural Water Quality (PAWQ) Project Datasets is a tabular dataset containing water quality, weather, land use, livestock, and microbial source tracking (MST) markers for predicting foodborne bacterial contamination in New York streams used to source water for produce production.
With this dataset, researchers can train machine learning models to predict the presence of E. coli and specific microbial… See the full description on the dataset page: https://huggingface.co/datasets/food-ai-nexus/fecal-indicator-water-nys.hospital-financial-reasoning
🏥 Hospital Budget Reasoning Dataset
Tags: reasoning-datasets-competition, healthcare, financial-analysis, budget-trends, india, public-sector, numeric-reasoning
🧠 Dataset Summary
This dataset provides structured reasoning examples based on financial allocations to government hospitals in India, specifically from the Ministry of Health and Family Welfare (MoHFW) and PRS Legislative Research reports. It contains over 200 examples, each of which features a real-world… See the full description on the dataset page: https://huggingface.co/datasets/NexusAI123/hospital-financial-reasoning.legal-file-handover-summary-nextstep-risk-coherence-v0.1What this dataset does
You receive
posture
facts and issues
deadlines
next steps
risk flags
consistency signals
You decide
coherent
or
incoherent
Daily use
handover QC
missing deadline flag
action gap flag
risk gap flag
datasetsNexusturkish-plu-next-event-predictionorganic-milk-spores-us-farmsBacterial Spore Levels in Organic Bulk Tank Milk (US Farms) is a longitudinal tabular dataset linking bacterial spore counts in bulk tank raw milk to farm management characteristics and meteorological conditions across 102 certified organic dairy farms in 11 US states.
With this dataset, researchers can train machine learning models to identify farm-level and environmental predictors of bacterial spore contamination in organic bulk tank milk, and study the interplay between farm practices… See the full description on the dataset page: https://huggingface.co/datasets/food-ai-nexus/organic-milk-spores-us-farms.NexusMancer-bioai-easykit-gears-cache
GEARS go_essential_all Cache
This dataset provides the pre-computed go_essential_all cache required by the GEARS model.
It is part of the NexusMancer-bioai-easykit project to make it easy for everyone to run GEARS without manually generating the cache.
📁 File List
go_essential_all.csv
essential_all_data_pert_genes.pkl
gene2go_all.pkl
go_essential_all.tar.gz
norman_coexpression.csv
All files are placed under the gears_cache/go_essential_all/ folder structure.
🚀… See the full description on the dataset page: https://huggingface.co/datasets/NexusMancer/NexusMancer-bioai-easykit-gears-cache.noedge-structure-dataset
NoEdge Structure Dataset
The labeled data behind the No-Edge Detector.
Each row is the causal-feature fingerprint of a 256-point price window, labelled by its true generating
process: memoryless_no_edge (random walk), mean_reverting (Ornstein–Uhlenbeck), or trending
(AR(1) momentum). 9000 rows, balanced.
Features: acf1, acf2, acf3, acf4, acf5, absacf1, absacf2, absacf3, vr2, vr4, vr8, hurst, runs_z, er (autocorrelation of returns & |returns|, variance ratios, Hurst,
runs-test z… See the full description on the dataset page: https://huggingface.co/datasets/nexusfinancial-dev/noedge-structure-dataset.legal-client-update-status-risk-next-step-coherence-v0.1What this dataset does
You receive
case status
deadlines and orders
risk register
draft update text
You decide
coherent
or
incoherent
Daily use
stop misleading updates
stop missed decision points
reduce complaints
reduce negligence exposure
generative_Aichicken-salmonella-campylobacter-us-facilitiesSalmonella and Campylobacter in Raw Chicken Carcass (US) is a tabular dataset containing meteorological and temporal data for raw chicken carcass samples tested for the presence of Salmonella and Campylobacter across the United States.
With this dataset, researchers can train machine learning models to predict the presence of Salmonella and Campylobacter in raw chicken carcasses based on environmental, temporal, and geographical predictors.
Content
The dataset contains 4,887… See the full description on the dataset page: https://huggingface.co/datasets/food-ai-nexus/chicken-salmonella-campylobacter-us-facilities.nextjs-standardSamples in this benchmark were generated by RELAI using the following data source(s):
Data Source Name: Next.js
Documentation Data Source Link: https://nextjs.org/docs
Data Source License: https://github.com/vercel/next.js/blob/canary/license.md
Data Source Authors: Vercel
AI Benchmarks by Data Agents © 2025 RELAI.AI · Licensed under CC BY 4.0. Source: https://relai.ai
nextjs-reasoningSamples in this benchmark were generated by RELAI using the following data source(s):
Data Source Name: Next.js
Documentation Data Source Link: https://nextjs.org/docs
Data Source License: https://github.com/vercel/next.js/blob/canary/license.md
Data Source Authors: Vercel
AI Benchmarks by Data Agents © 2025 RELAI.AI · Licensed under CC BY 4.0. Source: https://relai.ai
NextGenAIDataset_NexusCrewngt-ai-platform-logs