datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
fintech-disputes-premium-sampler-v1.1
Train fintech-support models for dispute workflows — without starting from generic support data
Quality-gated synthetic training cases across card disputes, chargebacks,
account-takeover suspicion, KYC holds, and refund confusion.
Inspect 50 cases free before buying Standard or Premium.
Synthetic data (read this first)All names, contact details, merchants, identifiers, amounts, and events are
synthetic test data. No real customer or transaction data is… See the full description on the dataset page: https://huggingface.co/datasets/GreyForge/fintech-disputes-premium-sampler-v1.1.iso25010-fintech-missing
ISO/IEC 25010 Fintech Software Quality Dataset (Missing Criteria)
Overview
This dataset provides gold-standard annotations for software quality evaluation
aligned with ISO/IEC 25010. Each code sample is annotated with:
Present quality criteria
Missing (expected but absent) quality criteria
The dataset is designed to train and evaluate LLM-based software quality evaluators
capable of detecting both quality violations and quality completeness gaps.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/okayjosh/iso25010-fintech-missing.greyforge-fintech-reliability-public-sampler-v1
GreyForge Fintech Reliability Public Sampler v1
Public schema/demo cases only — not a production benchmark, compliance certification, or calibration set.
This repository publishes 18 synthetic, policy-grounded demo cases in the
reliability_record_v1 schema. They illustrate a ChangeGuard-shaped agent
reliability problem (tool states, unsafe commitments, escalation, adversarial
pressure) without shipping the commercial locked inventory, calibration set, or
scoring logic required… See the full description on the dataset page: https://huggingface.co/datasets/GreyForge/greyforge-fintech-reliability-public-sampler-v1.