datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
guertin-mcro-forensic-corpus
Guertin MCRO Forensic Corpus
The public court record of State of Minnesota v. Matthew David Guertin (Hennepin County, 27-CR-23-1886) and 2,902
other Minnesota dockets, collected from Minnesota Court Records Online (MCRO) — the Minnesota Judicial Branch's public
access to its own case records — together with the database built from them, screen recordings of the collection,
four federal cases, the email record, and a forensic analysis of all of it. Every filing is the PDF the… See the full description on the dataset page: https://huggingface.co/datasets/Matt1up/guertin-mcro-forensic-corpus.forensic-refusalagent-intrusion-escalation-forensics
Both Sides Detected It, Neither Escalated: Concurrency and Escalation Failure in the July 2026 Autonomous Agent Intrusion
This repository contains the corpus, ingestion pipeline and report for a forensic reconstruction
of the July 2026 autonomous agent intrusion, submitted to the Apart Research & CeSIA AI
Incident Response Sprint, Track 2 (Forensics and Forecasting).
By: Fatimah Mohamed Emad Elden
Trouve Labs
Detection was not the binding… See the full description on the dataset page: https://huggingface.co/datasets/FatimahEmadEldin/agent-intrusion-escalation-forensics.Latent-Resonance-AI-Image-Forensics-Benchmark-N1000
Latent Resonance: SOTA Large-Scale AI Image Forensics Benchmark (N=1,000)
Author: Debdip Bandyopadhyay (Independent AI Researcher, Kolkata, India; M.Tech, IIT Jodhpur, AI & Data Science)Preprint & Paper: Latent Resonance: Zero-Shot Autoencoder Inversion and Azimuthal Spectral Forensics for Diffusion Image Attribution (IEEE Flagship / CERN Zenodo 2026)
1. Executive Summary & Diagnostic Suite
This repository contains the complete empirical evaluation records… See the full description on the dataset page: https://huggingface.co/datasets/DebdipCS/Latent-Resonance-AI-Image-Forensics-Benchmark-N1000.forensic-timelineSignalX-Crypto-Forensic-Metrics
SignalX Crypto Forensic Metrics
Description: generated by SignalX Predator Core v8.5 Forensic Snapshot Replay.
Row count: 1356
Timestamp coverage (timestamp_ms): 1768568 - 1769094000000
Columns
snapshot_id: stable snapshot identifier.
symbol: trading pair symbol.
timeframe: candle timeframe.
timestamp_ms: snapshot timestamp in milliseconds.
timestamp_utc: snapshot timestamp in UTC ISO format.
created_at_utc: ingestion timestamp in UTC ISO format.
flow_delta: normalized… See the full description on the dataset page: https://huggingface.co/datasets/signalxpert/SignalX-Crypto-Forensic-Metrics.Forensics-bench
Dataset Card for Forensics-Bench
Repository: https://github.com/Forensics-Bench/Forensics-Bench
Paper: https://arxiv.org/pdf/2503.15024
Point of Contact: Jin Wang
Introduction
Recently, the rapid development of AIGC has significantly boosted the diversities of fake media spread in the Internet, posing unprecedented threats to social security, politics, law, and etc. To detect the ever-increasingly diverse malicious fake media in the new era of AIGC, recent studies… See the full description on the dataset page: https://huggingface.co/datasets/Forensics-bench/Forensics-bench.legal-forensic-science-coherence-loss-v0.1What this dataset is
You get
forensic method
validation status
error rate signal
testimony claim strength
lab process risks
corroboration
post conviction signal
You label whether the courtroom claim remains coherent with what science supports.
Task
Answer coherent or incoherent only.
What it tests
Overstatement detection
certainty language that exceeds validation.
Process risk detection
lack of blind verification, lack of proficiency testing, contamination risk.
Method maturity detection… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/legal-forensic-science-coherence-loss-v0.1.hy3-math-forensics-datasetdb-forensic-hybrid
DB-Forensic-Hybrid Dataset
A large-scale, event-level MySQL database forensics benchmark dataset for
multi-class attack detection and attribution using real MySQL log streams.
Events are labeled at the individual log-event level against 14 MITRE ATT&CK
techniques plus a Normal class, collected across 8 realistic attack scenarios.
This dataset accompanies the paper:
"DB-Forensic-Hybrid: A Hybrid Deep Learning Framework for Database Intrusion
Detection and Forensic Attribution"… See the full description on the dataset page: https://huggingface.co/datasets/golfoscar/db-forensic-hybrid.flashback-forensics
Flashback Forensics
Labelled telemetry from training runs that were deliberately broken at a known
step. Every row is a few hundred bytes of per-step summary statistics; the
label is the step at which the fault was actually injected.
The point of the dataset: to make "how early can you tell a run went wrong?"
a measurable question instead of an anecdote.
Contents
config
rows
one row is
steps
21,600
one training step of one run: 128 sketch metrics +… See the full description on the dataset page: https://huggingface.co/datasets/NagaYu/flashback-forensics.signalx-crypto-forensic-metrics
SignalX Crypto Forensic Metrics
Description: generated by SignalX forensic runtime pipeline.
Dataset repo: syntalium-ai/signalx-crypto-forensic-metrics
Row count: 770838
Timestamp coverage (timestamp_ms): 1771329600000 - 1773385200000
Columns
snapshot_id
symbol
timeframe
timestamp_ms
timestamp_utc
created_at_utc
flow_delta
taker_ratio
volatility_20
vol_change_pct
atr_pct
vol_z
entropy
btc_corr
trend_strength
liquidity_magnet
feature_version
Note: data is informational… See the full description on the dataset page: https://huggingface.co/datasets/syntalium-ai/signalx-crypto-forensic-metrics.