datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CEP-IP_Framework
CEP-IP: An Explainable Framework for Cell Subpopulation Identification in Single-cell Transcriptomics (by Kah Keng Wong) (Published in Computer Methods and Programs in Biomedicine)
🧬 Abstract
Background and objective: Single-cell RNA sequencing (scRNA-seq) frameworks lack explainable approaches for identifying cell subpopulations harboring strong pairwise monotonic gene-module relationships between a gene of interest (GOI) and its co-expressed genes. In this study… See the full description on the dataset page: https://huggingface.co/datasets/kahkengwong/CEP-IP_Framework.audiobook-listener-fit-framework
Audiobook Listener-Fit Framework
The Audiobook Listener-Fit Framework is an open structured taxonomy developed by Recommended Audiobooks for describing characteristics that influence the audiobook listening experience.
Traditional ratings mostly describe whether listeners liked a title. This framework is designed to describe how an audiobook listens and which types of listeners may be better suited to it.
Purpose
The framework organizes audiobook characteristics… See the full description on the dataset page: https://huggingface.co/datasets/recommendedaudiobooks/audiobook-listener-fit-framework.ethical-framework-UNESCO-Ethics-of-AI
Ethical AI Training Dataset
Introduction
UNESCO's Ethics of Artificial Intelligence, adopted by 193 Member States in November 2021, represents the first global framework for ethical AI development and deployment.
While regional initiatives like The Montréal Declaration for a Responsible Development of Artificial Intelligence emphasize community-driven governance, UNESCO's approach establishes comprehensive international standards through coordinated multi-stakeholder… See the full description on the dataset page: https://huggingface.co/datasets/ktiyab/ethical-framework-UNESCO-Ethics-of-AI.ethical-framework
1. Dataset Title
Ethical AI Decision-Making Training Data (Montreal Declaration Edition)
2. Overview
This dataset contains carefully crafted scenarios (instructions) and detailed responses illustrating step-by-step ethical reasoning aligned with the principles outlined in the Montreal Declaration for Responsible AI. Each entry poses a complex ethical challenge and provides a reasoned solution while referencing the specific principle(s) being tested.
These entries can… See the full description on the dataset page: https://huggingface.co/datasets/ktiyab/ethical-framework.endpoint-framework-transition-integrity-v0.1Clarus Clinical Narrative Integrity v0.1.1
What this dataset tests
You track meaning as it moves across sections of a clinical paper
You detect when claims shift strength or scope without justification
You flag narrative drift introduced by section transitions
Scope
One document
Multiple internal sections
Abstract
Methods
Results
Discussion
Conclusion
One publication lifecycle
How this differs from v0.1
v0.1 tests internal consistency within a single narrative fragment
v0.1.1 tests… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/endpoint-framework-transition-integrity-v0.1.agent-framework-spend-guardrails-2026-10
Agent Framework Spend-Guardrails Survey (October 2026)
TL;DR: 0 of 12 popular AI agent frameworks document a spending budget in currency for tool calls, while 10 of 12 offer some form of human approval and 9 of 12 a max-steps limit.
12 open-source agent frameworks (LangChain/LangGraph, CrewAI, OpenAI Agents SDK, Vercel AI SDK, Google ADK, Microsoft AutoGen, Microsoft Semantic Kernel, LlamaIndex, Pydantic AI, Mastra, Claude Agent SDK, smolagents), checked as of 2026-10-09 for 8… See the full description on the dataset page: https://huggingface.co/datasets/Agentic-Payment/agent-framework-spend-guardrails-2026-10.abdullahkhan70_github-tech-stack-languages-and-frameworks
GitHub Tech Stack Languages & Frameworks
Comprehensive Repository Data: JavaScript, Python, Go, Rust & More
Dataset Info
Source: Kaggle
Original Size: 2.17 MB
Kaggle Downloads: 62
Files: 17
Files
Mirrored from Kaggle
clarus-population-framework-transition-integrity-v0.1Clarus Population Framework Transition Integrity v0.1
What this dataset tests
You track how the study population is defined as it moves across formal frameworks
You detect when inclusion, exclusion, or analysis sets change without explicit mapping
You flag population drift introduced between planning and reporting stages
Framework transitions covered
Trial registry → protocol
Protocol → statistical analysis plan
SAP → publication
Scope
One trial
Multiple population definitions
Multiple… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clarus-population-framework-transition-integrity-v0.1.clarus-endpoint-framework-transition-integrity-v0.1Clarus Clinical Narrative Integrity v0.1
What this dataset tests
You track internal consistency within a single clinical narrative
You detect contradictions between claims, definitions, and reported results
You flag narrative overreach without changing formal frameworks
Scope
One document
One reporting layer
One definition space
Typical failure modes
Outcome language exceeds reported metrics
Safety claims conflict with tabulated data
Efficacy statements ignore stated limitations… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clarus-endpoint-framework-transition-integrity-v0.1.qcr-competency-framework-4894-emlw623k
Quarterly Competency Remediation Program
This dataset is the competency assessment knowledge base used by the training organization. It contains the remediation policy and the assessment question bank.
Remediation Policy
Passing threshold: A course requires remediation when its average score is strictly below 70.
Remediation quiz title: Use exactly Competency Remediation Quiz.
Questions per quiz: Each remediation quiz must contain exactly 4 multiple-choice… See the full description on the dataset page: https://huggingface.co/datasets/Roy229/qcr-competency-framework-4894-emlw623k.safety-adjudication-framework-transition-integrity-v0.1Clarus Safety and Adjudication Framework Transition Integrity v0.1
What this dataset tests
You track how safety concepts change meaning across trial phases and reporting layers
You detect when adverse event definitions shift without justification
You flag adjudication and attribution drift that breaks comparability
Framework transitions covered
Protocol → SAP
SAP → publication
Phase 2 → Phase 3
Planned adjudication → reported adjudication
Scope
One trial safety domain
Multiple safety and… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/safety-adjudication-framework-transition-integrity-v0.1.content-alchemist-writing-frameworkssecurity-framework-crosswalk
Security Framework Control Crosswalk
197 CSA CCM v4 controls mapped to ISO/IEC 27001:2022, SOC 2 (Trust Services Criteria),
NIST CSF 2.0, NIST 800-53 Rev. 5, and Shared Assessments SIG — with per-mapping
confidence and provenance. Answer one framework, see what it covers in the others.
🔎 Interactive explorer: https://accountmade.com/tools/framework-crosswalk
💻 Source repo: https://github.com/accountmade/security-framework-crosswalk
942 mappings across 197 controls / 17 CCM… See the full description on the dataset page: https://huggingface.co/datasets/jakexkim/security-framework-crosswalk.CHIME-recovery-frameworksimple_llm_eval_frameworkllm-analysesFrameworks-and-Controls
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: Black Aether
Funded by [optional]: The gracious and charitable Jefe
Shared by [optional]: The Aether we call "Internet"
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/BlackAether/Frameworks-and-Controls.