datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
synthetic-jewellery-theft-detection
Synthetic Jewellery Theft Detection Dataset by AnywayLabs.ai
Need a custom synthetic dataset for your own theft detection use case?
This dataset is an open-source sample of our synthetic data generation work at AnywayLabs.
If you're working on:
industrial defect detection
visual inspection
supervised anomaly detection
hard-to-collect defect classes
synthetic data for computer vision training
You can request a custom synthetic dataset here, or email:… See the full description on the dataset page: https://huggingface.co/datasets/anywaylabs/synthetic-jewellery-theft-detection.reasoning-theft-poc
配套论文：Stealing Reasoning Traces from Proprietary LLM APIs
（arXiv:2608.09867，CC BY 4.0，Panfilov et al., 2026）——本仓是该论文的解读与本地最小复现，
不包含论文原文；文中定量结果（315,320 块 / 367 PII / 182 凭证等）均引自论文。
免责声明：本仓为防御性安全研究。论文披露的漏洞在发表前已由相关供应商修复（见论文 Reproducibility
Statement）；本复现全部在本地小模型（MiniCPM5-2B / Spark-X2.5-1.7B）上进行，使用虚构测试密钥，
未触碰任何真实 API 或真实用户数据。请勿将此类技术用于未授权的系统。
仓库内容：README.md（本报告）· poc_attack.py（复现编排脚本）·
serve.py + SERVE.md（带 --encrypt-thinking 加密思维链模式的本地推理服务及手册；
消融 hook 为懒加载，单独此文件即可运行加密模式，配任意 HF 格式本地思维链模型）·… See the full description on the dataset page: https://huggingface.co/datasets/benzeng/reasoning-theft-poc.nigerian_energy_and_utilities_energy_theft_anomalies
Nigerian Energy & Utilities – Energy Theft & Anomalies | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: parquet - Sector: energy - 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/nigerian_energy_and_utilities_energy_theft_anomalies.WHD_Wage_Theft_Enforcement_Actions_by_EmployerWHD Wage Theft Enforcement Actions by Employer
This is a mirror. Canonical home: https://www.fastdol.com/datasets/whd-wage-theft-enforcement-actions-by-employer
License: CC BY 4.0
Version DOI: 10.5281/zenodo.20031761
Concept DOI: 10.5281/zenodo.20031760
Download CSV: https://www.fastdol.com/datasets/whd-wage-theft-enforcement-actions-by-employer/data.csv
Visit the canonical page for the full schema, methodology, BibTeX citation, and most recent version.
Source
U.S. Department of… See the full description on the dataset page: https://huggingface.co/datasets/FastDOLz/WHD_Wage_Theft_Enforcement_Actions_by_Employer.wage-theft-whd-enforcement
WHD Wage Theft Enforcement Actions by Employer
40,000+ DOL Wage and Hour Division enforcement cases aggregated to the employer level. 323,514 US employers, $4.6 billion in back wages, 5.2 million affected employees.
What this dataset is
What does federal wage theft enforcement actually look like in aggregate? This dataset answers that question.
The Department of Labor's Wage and Hour Division (WHD) publishes enforcement data at the case level, which makes it hard to see… See the full description on the dataset page: https://huggingface.co/datasets/FastDOL/wage-theft-whd-enforcement.catalytic-converter-theft-laws-by-state
Catalytic converter sale and possession laws by US state — who can legally buy a used converter, and what a seller must prove
Canonical, always-current version: https://referencesource.org/catalytic-converter-theft-laws-by-state/
Machine-readable: https://referencesource.org/catalytic-converter-theft-laws-by-state/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-19
Stale after: 2027-08-19 (past this date, prefer the canonical copy —
it re-verifies on a… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/catalytic-converter-theft-laws-by-state.africa-sahel-prediction-cattle-theft-probability-by-ach-gis4tech
Sahel - Cattle Theft Probability Prediction | Africa (original)
Size category: 10K<n<100K - Formats: parquet - Sector: agriculture_food - 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 help analysts… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-sahel-prediction-cattle-theft-probability-by-ach-gis4tech.defendable-pain-crypto-theft-pain-v0.1
Crypto Theft Pain Receipt
"the drained" — Mr. Defendable
A free pain-receipt dataset from the DefendableOS ecosystem. 2 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
2 pain receipts… See the full description on the dataset page: https://huggingface.co/datasets/SwarmandBee/defendable-pain-crypto-theft-pain-v0.1.defendable-pain-identity-theft-receipts-v0.1
Identity Theft Pain · 1.1M Reports
"the stolen receipt" — Mr. Defendable
A free pain-receipt dataset from the DefendableOS ecosystem. 3 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
3… See the full description on the dataset page: https://huggingface.co/datasets/SwarmandBee/defendable-pain-identity-theft-receipts-v0.1.africa-mauritania-sahel-cattle-theft-probability-prediction-814ab7e8
Sahel - Cattle Theft Probability Prediction | Africa (Mauritania official open data)
117,936 rows - 1 Africa country - 2018-2026 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official CSV resource from Mauritania as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
Source: Sahel - Cattle Theft Probability… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-mauritania-sahel-cattle-theft-probability-prediction-814ab7e8.grid_theft_detection_minitheft-questioning-extendedtheftcasesbottheft-questioning-onlygrid_theft_detectionjewel-theft-votes