datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
electronic-components-supply-chain
Electronic Components Supply Chain Dataset
Dataset Description
This dataset contains 791 electronic components collected from the Nexar API, enriched with supply chain risk analysis and supplier information. The dataset combines general electronic components and telecom-specific components, designed for supply chain transparency research, risk assessment, and component sourcing analysis.
Dataset Summary
Total Components: 791
Source: Nexar API (via Octopart)… See the full description on the dataset page: https://huggingface.co/datasets/mdnh/electronic-components-supply-chain.ai-supplychain-2026
AI Supply Chain 2026
AI supply chain risks, dependencies. Updated daily via automated collection pipeline.
Part of the Legion Data Factory — historical AI ecosystem datasets 2026.
Methodology
Automated collection from public sources (HackerNews, RSS feeds, APIs).
Updated daily via cron job. Raw data, minimal processing.
License
CC BY 4.0
🔑 API Access — Updated Daily
Live data via Legion AI API
Free: 100 req/day · Pro €29/month: 50K… See the full description on the dataset page: https://huggingface.co/datasets/gemmozero/ai-supplychain-2026.supply-chain-10k
10-K Supply-Chain Graph
Customer and supplier relationships that US-listed companies name in their own
SEC 10-K filings, extracted into a directed graph. 16,172 rows
across 2,659 filers, of which 3,568
resolve to a counterparty we also cover.
Every row carries the accession number of the filing it came from, so any single
claim can be checked against the original document on SEC EDGAR.
This data is sold by financial data vendors and has no free equivalent we know of.… See the full description on the dataset page: https://huggingface.co/datasets/SAMPOQ/supply-chain-10k.SupplychainSupplyChainDatasetsupply_chain_contracts_dataset_smallSupplyChainDatasetsupply-chain-eval
Supply Chain Expert Eval
The evaluation benchmark behind the Manifest family of
supply-chain models. It now has three splits:
default — the general benchmark, 134 held-out expert questions across all eight supply-chain areas.
risk — a focused 20-question supply-chain risk & resilience benchmark.
inventory — a focused 20-question inventory management & optimization benchmark.
planning — a focused 20-question demand planning & forecasting benchmark.
Each question is set in a… See the full description on the dataset page: https://huggingface.co/datasets/metafloor-ai/supply-chain-eval.supplychain-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-predictions
Forecasting Supply Chain Disruptions with Foresight Learning
This repository contains the evaluation dataset for the paper Forecasting Supply Chain Disruptions with Foresight Learning.
The dataset is designed to evaluate the ability of models to produce calibrated probabilistic forecasts for infrequent, high-impact supply chain disruption events based on noisy and unstructured inputs.
Dataset Structure
The dataset consists of a test split containing 452 examples with… See the full description on the dataset page: https://huggingface.co/datasets/LightningRodLabs/supply-chain-predictions.supply_chain_analysisisomorph-supply-chain-benchmark
ISOMORPH Full
The full ISOMORPH dataset release: 49 rollouts spanning two baselines,
27 mixture scenarios, and 20 Latin-hypercube UQ perturbations. We
release multivariate logistics time-series data generated by a
digital-twin (DT) simulator of a multi-echelon supply chain with an
explicit routing network, with the underlying dynamics formulated as
a Markov chain. All runs use seed 2025 and horizon T = 52,560.
Overview
The simulator advances a directed routing graph of… See the full description on the dataset page: https://huggingface.co/datasets/Isomorph2026/isomorph-supply-chain-benchmark.tremorwatch-supply-chain-risk-v1
TremorWatch Supply Chain Risk — v1
AI-summarized global supply chain risk events with chokepoint exposure
mapping. Snapshot 2026-05-12.
🌐 Explore the live, browsable version
The Parquet bundle below is a point-in-time snapshot. The browsable site
keeps the same data updated daily and adds per-event AI briefs, KO/JA
translations, and a live map.
Map + event feed: tremorwatch.com
Chokepoints (Hormuz, Malacca, Suez, Taiwan Strait, …): tremorwatch.com/chokepoints… See the full description on the dataset page: https://huggingface.co/datasets/Volt-AI/tremorwatch-supply-chain-risk-v1.supply-chain-track-trace
Supply Chain Integrity & Track-and-Trace (Serialization, Diversion, SF Entry) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/supply-chain-track-trace.supply-chain-attacks-en
Software Supply Chain Attacks - English Dataset
The reference English dataset on software supply chain attacks.
This dataset contains detailed and structured information on supply chain attack vectors, real-world incidents, defense mechanisms, and 80 English Q&A pairs. It is designed for training, awareness, and fine-tuning language models specialized in cybersecurity.
Dataset Contents
Type
Count
Description
Attack Vectors
~30
Vectors organized by category… See the full description on the dataset page: https://huggingface.co/datasets/AYI-NEDJIMI/supply-chain-attacks-en.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.vynfi-supply-chain-ocel
VynFi Supply Chain OCEL (v5.29 SOTA mode)
Native OCEL 2.0 event log for a 5-company manufacturing supply
chain. Sister dataset to
VynFi/vynfi-journal-entries-1m
— same v5.29 generator, same SOTA-N behavioral lever stack + central
ConcentrationPipeline, but materialised as an object-centric event
log (events + objects + relationships) instead of a flat GL.
Why four configs
OCEL 2.0 is a multi-table schema by design. Selecting just one
"default" split would lose 90 %… See the full description on the dataset page: https://huggingface.co/datasets/VynFi/vynfi-supply-chain-ocel.supply_chain_disruption_event
Dataset Card for supply_chain_disruption_event
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/0bzrv3/supply_chain_disruption_event/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/0bzrv3/supply_chain_disruption_event.africa-synth-pharma-supply-chain-integrity-all
Pharmaceutical Supply Chain Integrity (SSA) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health datasets… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-pharma-supply-chain-integrity-all.supply-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.africa-synth-retail-and-ecommerce-supply-chain-logistics-data-nigeria
Supply Chain Logistics Data | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: parquet - Sector: culture_language - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public datasets… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-retail-and-ecommerce-supply-chain-logistics-data-nigeria.supply-chain-attacks-fr
Attaques Supply Chain Logicielle - Dataset Francais
Le dataset de reference francophone sur les attaques de la chaine d'approvisionnement logicielle.
Ce dataset contient des informations detaillees et structurees sur les vecteurs d'attaque supply chain, les incidents reels, les mecanismes de defense et 80 questions-reponses en francais. Il est concu pour la formation, la sensibilisation, et l'entrainement de modeles de langage specialises en cybersecurite.
Contenu du… See the full description on the dataset page: https://huggingface.co/datasets/AYI-NEDJIMI/supply-chain-attacks-fr.isomorph-supply-chain-sample
ISOMORPH Sample
A single-rollout subset of the ISOMORPH release, intended for users
who want to inspect file formats and run loaders before pulling the
full dataset. We release multivariate logistics time-series data
generated by a digital-twin (DT) simulator of a multi-echelon supply
chain with an explicit routing network, with the underlying dynamics
formulated as a Markov chain.
Overview
The simulator advances a directed routing graph of factories,
intermediate… See the full description on the dataset page: https://huggingface.co/datasets/Isomorph2026/isomorph-supply-chain-sample.SupplyChainOptimization
SupplyChainOptimization
tags: logistics, cost reduction, demand forecasting
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'SupplyChainOptimization' dataset is a curated collection of documents relevant to manufacturing processes with a focus on enhancing supply chain efficiency. It includes texts discussing strategies for logistics management, cost reduction techniques, and demand forecasting methods specifically applicable… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/SupplyChainOptimization.supply-chain-predictions
Forecasting Supply Chain Disruptions with Foresight Learning
This repository contains the evaluation dataset for the paper Forecasting Supply Chain Disruptions with Foresight Learning.
The dataset is designed to evaluate the ability of models to produce calibrated probabilistic forecasts for infrequent, high-impact supply chain disruption events based on noisy and unstructured inputs.
Dataset Structure
The dataset consists of a test split containing 452 examples… See the full description on the dataset page: https://huggingface.co/datasets/hashim62/supply-chain-predictions.logistics-supply-chain-continuity-coherence-risk-v0.1What this repo is for
detect supply chain breakdown risk early
identify weak links
support operations planning
improve forecasting alignment
prevent shortages
monitor continuity across suppliers, inventory, and transport
supply-chain-contractsenglish-supply-chain-basics-30supply-chain-triplets
Supply Chain Triplets
中文供应链/产业链关系三元组数据集，用于训练关系分类模型。
数据说明
每条样本为一个三元组 [entity1, relation, entity2]：
字段
说明
entity1
主体行业/产品
relation
关系类型：上游 / 下游 / 其他
entity2
客体行业/产品
关系定义：
上游：entity1 为 entity2 提供原材料或服务
下游：entity1 使用 entity2 的产品或服务
其他：竞争、互补、监管等非直接上下游关系
数据规模
文件
条数
train.txt
~513,000
industry_test.json
~120
industry_test_small.json
30
数据格式
train.txt（CSV，每行一条）：
钢铁冶炼,上游,汽车制造
汽车制造,下游,钢铁工业
传统能源,其他,新能源… See the full description on the dataset page: https://huggingface.co/datasets/flipped121364/supply-chain-triplets.supply_chain_q_a