datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SupplyChainDatasetSupplyChainDatasetsupplychain-agent-input-samples
Supply Chain Agent Input Samples
Synthetic input samples for a five-agent supply-chain platform
(aizenio/supplychain-ops).
Each row is one internally consistent snapshot that satisfies the input
contract of every agent skill — 67 columns covering demand forecasting,
inventory monitoring, logistics/shipment evaluation, anomaly detection and
strategic analysis. A single row can be fed to any agent without
post-processing.
Why it exists
The agents needed realistic… See the full description on the dataset page: https://huggingface.co/datasets/Parthsoni10/supplychain-agent-input-samples.supply_chain_analysissupply-chain-analysis-assignment
Supply Chain Disruption & Recovery Analysis
🎥 Presentation Video
📊 Project Overview
This project explores a dataset of 100,000 supply chain disruption events. The goal is to identify key factors influencing financial loss and recovery time.
Key Insights from EDA:
Costliest Disruption: Cyber Attacks result in the highest average revenue loss.
Production Impact: There is a strong correlation (0.76) between disruption severity and production impact.… See the full description on the dataset page: https://huggingface.co/datasets/IdoTreibatch/supply-chain-analysis-assignment.supply-chain-buffer-exhaustion-v0.1
supply-chain-buffer-exhaustion-v0.1
What this dataset does
This dataset evaluates whether models can detect supply chain instability arising from inventory pressure and logistics delay.
Each row represents a simplified supply-chain scenario across three time steps.
The task is to determine whether the system remains stable or moves toward inventory collapse.
Core stability idea
Supply chains rarely fail because of demand alone.
Instead instability emerges from… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/supply-chain-buffer-exhaustion-v0.1.clinical-quad-supply-chain-dose-interruptions-exposure-gaps-efficacy-loss-v0.1Clinical Quad Supply Chain Dose Interruptions Exposure Gaps Efficacy Loss v0.1
Each row is a site week snapshot.
Core quad
Supply chain reliabilityDose interruptionsExposure gapsEfficacy loss
Target
label_efficacy_loss_next_60d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT
This dataset identifies a measurable coupling pattern associated with systemic instability.
The sample demonstrates the… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-supply-chain-dose-interruptions-exposure-gaps-efficacy-loss-v0.1.SupplyChain_Risk_Prediction_Forecastgreen-supply-chain-demand
Green Supply Chain Cobb–Douglas Demand Dataset
Dataset Description
This dataset contains simulated observations of retail price (p), greening effort (g), and market demand (D) generated using the Cobb–Douglas demand model.
The dataset is designed for research and machine learning experiments related to sustainable supply chains, demand prediction, and economic modelling. In green supply chain systems, demand is often influenced by both the selling price of the… See the full description on the dataset page: https://huggingface.co/datasets/Mittalyash/green-supply-chain-demand.global-food-supply-chain-models-and-dataSupplyChainDatasetglobal-supplychain-risk-logistic