datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
maze-30x30-hard-1kvynfi-sap-showcase
VynFi SAP Showcase
An "all capabilities" SAP-style ERP + audit dataset: one end-to-end run that
exercises the full DataSynth surface and ships the complete artefact tree —
universal-journal postings (ACDOCA), document chains, subledgers, FX,
intercompany + consolidation, per-period financial statements with
comparatives, operating-expense breakout, and Sankey funds-flow exports,
accounting standards, audit (ISA/PCAOB/SOX) + COSO controls, HR, manufacturing,
treasury, tax, ESG… See the full description on the dataset page: https://huggingface.co/datasets/VynFi/vynfi-sap-showcase.SA-Parallel-Corpora
SA-Parallel-Corpora
Sentence-aligned English to isiZulu, isiXhosa, Sesotho and Sepedi
bitext, drawn from South African government publications.
Produced for the doctoral thesis Injecting Commonsense Knowledge into
Pretrained Language Models for Low Resource Languages (University of Cape Town,
2026). Code at https://github.com/sello-ralethe/SA-knowledge
Structure
One configuration per language pair, each with train, validation
and test splits. Splits are assigned… See the full description on the dataset page: https://huggingface.co/datasets/sello-ralethe/SA-Parallel-Corpora.Bhagavad-Gita_Dataset
Srimad Bhagavad Gita Dataset
A parallel corpus of the Srimad Bhagavad Gita containing original verses in Sanskrit (sa), with Hindi (hi) and English (en) translations.This dataset is suitable for translation, text generation, and feature extraction tasks.
Dataset Details
Based on: This dataset is based on a book called 'Srimad Bhagavad Gita' kept at Central Archaelogical Library, New Delhi
Original Book Source (IGNCA): https://ignca.gov.in/Asi_data/279.pdf… See the full description on the dataset page: https://huggingface.co/datasets/Saptak123/Bhagavad-Gita_Dataset.SAP_laptoptourism-wellnessclinical-quad-endpoint-switch-sap-amendment-multiplicity-drift-phacking-risk-v0.1Clinical Quad Endpoint Switch SAP Amendment Multiplicity Drift PHacking Risk v0.1
Each row is an amendment snapshot.
Core quad
Endpoint switchingSAP amendmentsMultiplicity driftP hacking risk
Target
label_phacking_risk_next_30d
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-endpoint-switch-sap-amendment-multiplicity-drift-phacking-risk-v0.1.SAP_SLM_Datasap-interpret-data