datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
uds-governance-receipts
Part of the SZL Holdings governed estate — claims are designed to carry checkable receipts. Verification proves integrity & origin, never accuracy or performance.
UDS Governance Receipts — Decision Audit Log
Doctrine v11 LOCKED. No marketing. Every number resolves to a CI log, a Lean proof, or a Zenodo DOI.
Append-only log of DSSE-signed governance decision receipts for the Unified Deployment Substrate (UDS) mesh. Each record captures:… See the full description on the dataset page: https://huggingface.co/datasets/SZLHOLDINGS/uds-governance-receipts.uds-spans-receipts
Part of the SZL Holdings governed estate — claims are designed to carry checkable receipts. Verification proves integrity & origin, never accuracy or performance.
UDS Spans Receipts — OTel Governance Audit Log
Doctrine v11 LOCKED. No marketing. Every number resolves to a CI log, a Lean proof, or a Zenodo DOI.
Append-only audit log of DSSE-signed OpenTelemetry spans emitted by the UDS mesh governance layer. Each span record includes: operation… See the full description on the dataset page: https://huggingface.co/datasets/SZLHOLDINGS/uds-spans-receipts.datasets
UdonPred datasets
Per-target protein intrinsic-disorder datasets for UdonPred: train/valid/test as jsonl ({id, y, x_0}) and FASTA, plus precomputed per-pLM embeddings under <target>/embeddings/<plm>/<split>.h5 (keyed by jsonl id).
udemy-corpusuds-annotated-tofulanguage:
en
license: mit
pretty_name: UDS-Annotated TOFU
task_categories:
question-answering
tags:
arxiv:2605.24614
unlearning
llm-unlearning
activation-patching
tofu
entity-annotation
UDS-Annotated TOFU
Annotated TOFU forget10 examples used in Measuring the Depth of LLM Unlearning via Activation Patching.
The dataset contains factual entity and span annotations used by the Unlearning Depth Score (UDS) pipeline to evaluate whether target knowledge remains recoverable from a… See the full description on the dataset page: https://huggingface.co/datasets/jaeunglee/uds-annotated-tofu.lm-eval-results-udkai-Garrulus-private
Dataset Card for Evaluation run of udkai/Garrulus
Dataset automatically created during the evaluation run of model udkai/Garrulus
The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration… See the full description on the dataset page: https://huggingface.co/datasets/nyu-dice-lab/lm-eval-results-udkai-Garrulus-private.NLP4LP
NLP4LP
NLP4LP is intended and licensed for research use only. The dataset is CC BY NC 4.0 (allowing only non-commercial use) and models trained using the dataset should not be used outside of research purposes.
Each problem instance lives in data/<id>/ and contains:
description.txt — natural-language problem description
metadata.json — problem difficulty / type tags
parameters.json — named parameters with shapes and descriptions
problem_info.json — parametrized description… See the full description on the dataset page: https://huggingface.co/datasets/udell-lab/NLP4LP.Urban_Dynamics_VideoQA_datasetudf-alpharl-out-archive
udf-alpharl-out-archive
Output archive for the paper "From Base Rollouts to RL Reasoning: A Budgeted Search Perspective" (https://arxiv.org/abs/2609.01274).
Code and configs: https://github.com/HALIS-sh/Searchlens_boptr
japanese-passports
Disclaimer: All passport images and associated data in this dataset are synthetically generated and do not correspond to real individuals. Any names, numbers, or personal details are fictional and used solely for research and development purposes.
Introduction
The Synthetic Japan Passports Dataset brings together more than 1,000 AI-generated passport images, purpose-built for training OCR and computer vision models on identity documents. Since the data is entirely synthetic —… See the full description on the dataset page: https://huggingface.co/datasets/ud-synthetic/japanese-passports.proofnet-lean4ud-campus-parking-occupancy-synthetic
UD Parking Occupancy Classifier (Tiny Demo)
Very small scikit-learn RandomForest classifier trained on the synthetic dataset:
BuildingTHEITGUY/ud-campus-parking-occupancy-synthetic
This is a teaching / portfolio model, not a production campus system.
What it predicts
Class label: open | busy | full
Features
capacity, occupied, free, occupancy_ratio, hour_local, weekday
Files
parking_occupancy_rf.joblib — model artifact
metrics.json —… See the full description on the dataset page: https://huggingface.co/datasets/BuildingTHEITGUY/ud-campus-parking-occupancy-synthetic.glm53-fidelity-gguf-unsloth-udq4kxl-v1
fidelity--glm53.malaiwah.quant.gguf-unsloth-udq4kxl
A quant fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from unsloth/GLM-5.3-GGUF.
The cut
the final hidden state handed to lm_head -- after the text model's final norm and immediately before the head matmul -- captured as the head module's input via torch.nn.Module.register_forward_pre_hook; replay applies the head ONLY (no final norm at replay time: the capture already sits after it).… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/glm53-fidelity-gguf-unsloth-udq4kxl-v1.glm52-fidelity-gguf-unsloth-udq4kxl-v1
fidelity--glm52.malaiwah.quant.gguf-unsloth-udq4kxl
A quant fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from unsloth/GLM-5.2-GGUF.
The cut
the final hidden state handed to lm_head -- after the text model's final norm and immediately before the head matmul -- captured as the head module's input via torch.nn.Module.register_forward_pre_hook; replay applies the head ONLY (no final norm at replay time: the capture already sits after it).… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/glm52-fidelity-gguf-unsloth-udq4kxl-v1.swesmith-multi-agent-trajectoriesisraeli-passports
Disclaimer: All passport images and associated data in this dataset are synthetically generated and do not correspond to real individuals. Any names, numbers, or personal details are fictional and used solely for research and development purposes.
Introduction - Israel
The Synthetic Israel Passports Dataset compiles more than 1,000 AI-generated passport images intended for training OCR and computer vision models on identity documents. Each record is fully synthetic, so the… See the full description on the dataset page: https://huggingface.co/datasets/ud-synthetic/israeli-passports.adaption-financial-math-qa
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-financial_math_qa
This dataset contains question-and-answer pairs focused on personal finance calculations, including compound interest, loan amortization, tax brackets, and retirement planning. Each sample provides a specific financial scenario in the prompt and a detailed, step-by-step mathematical derivation in the completion. The responses explain the underlying formulas… See the full description on the dataset page: https://huggingface.co/datasets/uditjain/adaption-financial-math-qa.indian-regulatory-bfsi-benchmark-v1
Indian Regulatory BFSI Benchmark v1
A 60-question, hand-curated, openly licensed evaluation set for
extractive question answering over Indian financial regulation -
specifically Reserve Bank of India (RBI) Master Directions and
Securities and Exchange Board of India (SEBI) Master Circulars.
60 questions, 30 RBI / 30 SEBI
30 numeric / named-fact extraction (tier 2) + 30 heading-bound passage
questions (tier 3)
22 distinct source PDFs from a document-disjoint held-out split of… See the full description on the dataset page: https://huggingface.co/datasets/udit6969/indian-regulatory-bfsi-benchmark-v1.alpaca_data_galician
Galician version of alpaca_data.json
This is a Galician-translated with Python package googletranslatepy version of the Stanford alpaca_data.json dataset. Our working notes are available here.
Dataset Structure
The dataset contains 52K instruction-following elements in a JSON file with a list of dictionaries. Each dictionary contains the following fields:
instruction: str, describes the task the model should perform. Each of the 52K instructions is unique.
input: str… See the full description on the dataset page: https://huggingface.co/datasets/irlab-udc/alpaca_data_galician.saudi-arabian-passports
Disclaimer: All passport images and associated data in this dataset are synthetically generated and do not correspond to real individuals. Any names, numbers, or personal details are fictional and used solely for research and development purposes.
Introduction - Saudi Arabia
The Synthetic Saudi Arabia Passports Dataset compiles more than 1,000 AI-generated passport images built for training OCR and computer vision models on identity documents. Every record is fully synthetic… See the full description on the dataset page: https://huggingface.co/datasets/ud-synthetic/saudi-arabian-passports.usa-passports
Disclaimer: All passport images and associated data in this dataset are synthetically generated and do not correspond to real individuals. Any names, numbers, or personal details are fictional and used solely for research and development purposes.
Introduction - USA
The Synthetic USA Passports Dataset brings together more than 1,000 AI-generated passport images created for training OCR and computer vision systems on identity documents. Each record is fully synthetic, so the… See the full description on the dataset page: https://huggingface.co/datasets/ud-synthetic/usa-passports.udio-128Kpos_dataset-UD_Turkish-IMST-v2.13Eye-Disease-Text-Datakorean-passports
Disclaimer: All passport images and associated data in this dataset are synthetically generated and do not correspond to real individuals. Any names, numbers, or personal details are fictional and used solely for research and development purposes.
Introduction - South Korea
The Synthetic South Korea Passports Dataset assembles more than 1,000 AI-generated passport images crafted for training OCR and computer vision models on identity documents. Each record is fully synthetic… See the full description on the dataset page: https://huggingface.co/datasets/ud-synthetic/korean-passports.pos_dataset-UD_Turkish-BOUN-v2.13user-stories-from-tawos-for-llm-fine-tuningprinted-usa-passports
Introduction
The Synthetic Printed USA Passports Dataset contains 9,600 AI-generated passport images designed for training OCR and computer vision models on identity documents. The dataset includes varied angles, lighting conditions, backgrounds, and distances, with structured metadata covering gender, age group, resolution, and more. All images are synthetically generated — no real personal data or biometric records are involved — making it a privacy-compliant solution for… See the full description on the dataset page: https://huggingface.co/datasets/ud-synthetic/printed-usa-passports.luxembourgian-passports
Disclaimer: All passport images and associated data in this dataset are synthetically generated and do not correspond to real individuals. Any names, numbers, or personal details are fictional and used solely for research and development purposes.
Introduction - Luxembourg
The Synthetic Luxembourg Passports Dataset assembles more than 1,000 AI-generated passport images crafted for training OCR and computer vision models on identity documents. Each record is fully synthetic, so… See the full description on the dataset page: https://huggingface.co/datasets/ud-synthetic/luxembourgian-passports.dutch-passports
Disclaimer: All passport images and associated data in this dataset are synthetically generated and do not correspond to real individuals. Any names, numbers, or personal details are fictional and used solely for research and development purposes.
Introduction - Netherlands
The Synthetic Netherlands Passports Dataset gathers more than 1,000 AI-generated passport images crafted for training OCR and computer vision systems on identity documents. Each record is fully synthetic… See the full description on the dataset page: https://huggingface.co/datasets/ud-synthetic/dutch-passports.