root-cause
Healthcare-Library-Sample
RCA Medical Library - 25-Document Review Pack
Public sample from the RCA Medical Library. 25 synthetic Australian medical documents across 18 document types with ground truth and bounding boxes.
Fully synthetic. No real patient, clinician, hospital, Medicare, MRN, provider or customer data. NSW conventions applied throughout: AU postcodes, valid Medicare number format, AU clinician postnominals (FRACGP, FRACP, FRCPA, FRANZCR, FACEM, FRACS), TRN-PROV provider numbers. SYNTHETIC… See the full description on the dataset page: https://huggingface.co/datasets/RootCauseAnalytics/Healthcare-Library-Sample.synthetic-australian-medical-documents-sample
Synthetic Australian Medical Documents - Sample
A 50-document free sample of a 5,000-document library of synthetic Australian medical PDFs. PHI-free. Modelled on Australian healthcare documentation. Pre-labelled with structured ground truth and pixel-precise bounding boxes. Released under CC-BY-NC 4.0 for evaluation and non-commercial research.
See Pricing & licensing below.
What's in this sample
Field
Value
Documents
50
Document types
29 (of 45 in full… See the full description on the dataset page: https://huggingface.co/datasets/RootCauseAnalytics/synthetic-australian-medical-documents-sample.Insurance-Library-Sample
RCA Insurance Library - 2-Pack Preview
Public sample from the RCA Insurance Library. Two complete synthetic commercial P&C submission packs (14 documents) with ground truth and engineered cross-document inconsistencies.
Fully synthetic. No real policyholder, claimant, broker, insurer or customer data. SYNTHETIC TRAINING DOCUMENT disclaimer on every page.
What is in the preview
14 PDFs across 8 commercial P&C document types: broker submission emails, loss run reports… See the full description on the dataset page: https://huggingface.co/datasets/RootCauseAnalytics/Insurance-Library-Sample.Product_Review_Original
Data Description:
Both metrics and log data were collected from Product Review Microservice Platform with hundreds of system entities invovled. Four different types of real faults (including DDoS attack, external storage failure, node resource contention stress test, and noisy neighbor issue) were simulated.
License:
cc-by-nd-4.0: NoDerivatives.
MENTHOS-dataset-rootcause
MENTHOS-dataset-rootcause
English
About
MENTHOS-dataset-rootcause is a binary log classification dataset built for root-cause identification experiments.
Source Data
https://github.com/nv-morpheus/Morpheus/raw/refs/heads/branch-25.10/models/datasets/training-data/root-cause-training-data.csv
https://github.com/nv-morpheus/Morpheus/raw/refs/heads/branch-25.10/models/datasets/validation-data/root-cause-validation-data-input.jsonlines… See the full description on the dataset page: https://huggingface.co/datasets/LHRS-UM-FERI/MENTHOS-dataset-rootcause.Cloud_Computing_Original
Data Description:
Both system metrics (json format) and log data (json format) were collected from Cloud Computing Platform with hundreds of system entities invovled. Six different types of real faults (including cryptojacking, silent pod degradation fault, malware attack, mistakes made by GitOps, configuration change failure, and bug infection) were simulated.
License:
cc-by-nd-4.0: NoDerivatives.