datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
diffusers-blackwell-quantsOutput artifacts for https://github.com/sayakpaul/diffusers-blackwell-quants
quants
QuAnTS: Question Answering on Time Series
QuAnTS is a challenging dataset designed to bridge the gap in question-answering research on time series data.
The dataset features a wide variety of questions and answers concerning human movements, presented as tracked skeleton trajectories.
QuAnTS also includes human reference performance to benchmark the practical usability of models trained on this dataset.
At present, there is no official leaderboard for this dataset.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/dasyd/quants.quantsafe-judge-benchmark
QuantSafe Refusal-Safety Judge-Agreement Benchmark
A focused, project-authored and project-labeled 40-item corpus for measuring
how three open guard-model families label (prompt, response) pairs as
safe / unsafe. It supports the Judge Agreement tab in
QuantSafe Certifier
and the broader methodology in
Quality Is Not a Safety Proxy Under Quantization.
Files
judge_corpus.jsonl: 12 clear-safe, 12 clear-unsafe, and 16 intentionally
borderline items with project… See the full description on the dataset page: https://huggingface.co/datasets/Crusadersk/quantsafe-judge-benchmark.qsb-heston
QuantScenarioBench — Heston Benchmark Dataset
This dataset is a representative benchmark sample generated by QuantScenarioBench, a JAX-native framework for reproducible stochastic market scenario generation.
It contains 10,000 independent simulation paths under the Heston stochastic volatility model over 252 daily time steps (1 year horizon). Each path includes both the asset price trajectory (observation) and the instantaneous variance trajectory (latent state).
Need a larger… See the full description on the dataset page: https://huggingface.co/datasets/QuantScenarioBench/qsb-heston.quant-stackexchange-posts
Dataset Card for "quant-stackexchange-posts"
More Information needed
legal-quants-community-submissionsqsb-evaluation-results
QuantScenarioBench Evaluation Results
Published, versioned EvaluationResults (FR-30–FR-33), each derived from a
BenchmarkResult produced by QuantScenarioBench's
run_benchmark(). This repository accumulates an append-only history —
publishing never overwrites a previously published result.
Published Results
Benchmark Dataset
Strategy
Published Results
qsb-black-scholes-demo
EqualWeight
1
qsb-black-scholes
QuantScenarioBench — Black-Scholes Benchmark Dataset
This dataset is a representative benchmark sample generated by QuantScenarioBench, a JAX-native framework for reproducible stochastic market scenario generation.
It contains 10,000 independent asset-price paths simulated under the Black-Scholes (Geometric Brownian Motion) model over 252 daily time steps (1 year horizon).
Need a larger or custom dataset?
This file is a fixed benchmark sample. To generate datasets at any scale… See the full description on the dataset page: https://huggingface.co/datasets/QuantScenarioBench/qsb-black-scholes.qsb-rough-bergomi
QuantScenarioBench — Rough Bergomi Benchmark Dataset
This dataset is a representative benchmark sample generated by QuantScenarioBench, a JAX-native framework for reproducible stochastic market scenario generation.
It contains 10,000 independent simulation paths under the Rough Bergomi model over 252 daily time steps (1 year horizon). Each path includes both the asset price trajectory (observation) and the instantaneous variance trajectory (latent state).
Need a larger or… See the full description on the dataset page: https://huggingface.co/datasets/QuantScenarioBench/qsb-rough-bergomi.quantsafe-agent-trace
QuantSafe Certifier - Agent Build Trace
A reviewable, high-level action trace of how QuantSafe Certifier
(https://huggingface.co/spaces/build-small-hackathon/quantsafe-certifier) was built,
audited, and shipped - across two AI coding agents (OpenAI Codex and Claude Code) in
collaboration with the repository owner. Records operations and outcomes (audit findings,
SOTA model regeneration on Modal, live deployment, Playwright verification) without exposing
private chain-of-thought.… See the full description on the dataset page: https://huggingface.co/datasets/Crusadersk/quantsafe-agent-trace.