datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
protocolos-clinicos-br
Protocolos Clínicos BR
Paper | Code | Blog post
Brazilian Ministry of Health official clinical guidelines (PCDTs and related) plus the synthetic training corpus derived from them, used to adapt LLMs to Brazilian clinical knowledge. This dataset was introduced in the paper "Teaching LLMs Brazilian Healthcare: Injecting Knowledge from Official Clinical Guidelines".
Configurations
default — Original guidelines (raw text)
The 178 official Brazilian… See the full description on the dataset page: https://huggingface.co/datasets/hugo/protocolos-clinicos-br.agentic-publication-protocol-dataset
APP compare-app benchmark
Paired reader conversations and blinded evaluations comparing an Agentic
Publication Protocol (APP) paper agent against a general repository-aware
agent, on 11 quantum-physics papers.
For each paper, a neutral reader asks the same scripted questions to both agents;
the two transcripts are anonymized and scored by a blinded evaluator on
accuracy, informativeness, grounding, and honesty (1-10).
Evaluator: Codex CLI, gpt-5.5, reasoning effort xhigh… See the full description on the dataset page: https://huggingface.co/datasets/phynics/agentic-publication-protocol-dataset.bio-faiss-longevity-v1
bio-faiss-longevity-v1
A FAISS index + metadata for scientific retrieval
Contents
index.faiss: FAISS index (cosine w/ inner product).
meta.jsonl: one JSON per chunk; fields include chunk_id, paper_id, title, section, subsection, paragraph_index, keywords, boost.
index.info.json: (optional) dimensions, index type, faiss version.
Build provenance
Chunking: hierarchical (section→paragraph→~480-token chunks, ~15% overlap)
Embedder:… See the full description on the dataset page: https://huggingface.co/datasets/bio-protocol/bio-faiss-longevity-v1.neophyte-faiss-index-v1
neophyte-faiss-index-v1
A FAISS index + metadata for scientific retrieval
Contents
index.faiss: FAISS index (cosine w/ inner product).
meta.jsonl: one JSON per chunk; fields include chunk_id, paper_id, title, section, subsection, paragraph_index, keywords, boost.
index.info.json: (optional) dimensions, index type, faiss version.
Build provenance
Chunking: hierarchical (section→paragraph→~480-token chunks, ~15% overlap)
Embedder:… See the full description on the dataset page: https://huggingface.co/datasets/bio-protocol/neophyte-faiss-index-v1.food-science-llm-protocol
Food Science LLM Text-Mining Protocol
Pipeline and derived data accompanying:
Guo X, Fu W. Data Mining and Text Mining Using Large Language Models.
In: Li Y, Zhang D, Guo Z (eds), AI in Food Science: Methods and Protocols.
Methods and Protocols in Food Science. Springer.
The chapter prints one protocol as 26 numbered steps with abbreviated code
listings. This repository is the executable form of that protocol. Every step
has a corresponding function here, and every number in… See the full description on the dataset page: https://huggingface.co/datasets/KSU-HW-SEC/food-science-llm-protocol.protocol-bench
Protocol-Bench
15 published IEEE 802.11 and 3GPP procedures with ground-truth safety verdicts — and, where a
property fails, the shortest counterexample trace that proves it.
Most reasoning benchmarks accept an answer. This one asks for a proof: if a model says a protocol
is broken, it must supply a trace that starts at the initial state, moves only along real
transitions, and ends in a genuinely violating state. Traces are replayed mechanically. A
plausible-sounding trace that… See the full description on the dataset page: https://huggingface.co/datasets/nickh007/protocol-bench.bio-faiss-d1ckgpt-v1
bio-faiss-d1ckgpt-v1
A FAISS index + metadata for scientific retrieval
Contents
index.faiss: FAISS index (cosine w/ inner product).
meta.jsonl: one JSON per chunk; fields include chunk_id, paper_id, title, section, subsection, paragraph_index, keywords, boost.
Build provenance
Chunking: hierarchical (section→paragraph→~380-token chunks, ~15% overlap)
Embedder: bio-protocol/scientific-retriever (mean-pooled, L2-normalized)
Similarity: cosine via inner… See the full description on the dataset page: https://huggingface.co/datasets/bio-protocol/bio-faiss-d1ckgpt-v1.omnimcp_mcp_protocol_handshake_router_teaser
🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_mcp_protocol_handshake_router_teaser.indian_protocols_based_clinical_QnA
Indian Protocols-Based Clinical Q&A
A rubric-graded evaluation dataset built from clinical guideline documents (Indian and international). Each sample is a realistic doctor-side query against a known protocol, paired with rubrics that grade (a) whether the system retrieved/identified the correct guideline content and (b) whether the final answer is clinically complete and safe.
What this evaluates
This dataset is built to stress-test clinical assistants on… See the full description on the dataset page: https://huggingface.co/datasets/ekacare/indian_protocols_based_clinical_QnA.bio-faiss-microbiome-v1
bio-faiss-microbiome-v1
A FAISS index + metadata for scientific retrieval
Contents
index.faiss: FAISS index (cosine w/ inner product).
meta.jsonl: one JSON per chunk; fields include chunk_id, paper_id, title, section, subsection, paragraph_index, keywords, boost.
Build provenance
Chunking: hierarchical (section→paragraph→~380-token chunks, ~15% overlap)
Embedder: bio-protocol/scientific-retriever (mean-pooled, L2-normalized)
Similarity: cosine via inner… See the full description on the dataset page: https://huggingface.co/datasets/bio-protocol/bio-faiss-microbiome-v1.CREATE-Protocol
CREATE Protocol: Cognitive Recursion Enhancement for Applied Transform Evolution
Dataset Description
CREATE (Cognitive Recursion Enhancement for Applied Transform Evolution) is a structured cognitive scaffolding framework designed to support epistemic integrity, curiosity-driven inquiry, and aligned reasoning in both human and artificial cognitive systems.
The protocol consists of modular text packets that provide frameworks for navigating uncertainty, recognizing… See the full description on the dataset page: https://huggingface.co/datasets/MaltbyTom/CREATE-Protocol.ev-charging-protocols
EV-Charging Protocols Q&A
Instruction-tuning dataset covering OCPP 1.6, OCPP 2.0.1, OCPI 2.1.1 and OCPI 2.2.1.
13,028 examples in OpenAI/HF chat format ({"messages":[{role,content},…]}).
Train: 11,724 / Validation: 1,304 — stratified 90/10 by source protocol, seed 42.
Each row: {id, messages:[system,user,assistant], source, category}.
Coverage
Every message of OCPP 1.6 and OCPP 2.0.1 with all fields, types, cardinality.
Every OCPI 2.1.1 / 2.2.1 module: locations… See the full description on the dataset page: https://huggingface.co/datasets/OCPPLab/ev-charging-protocols.peptide-protocols
Peptide & Compound Protocol Database
A structured reference database of 180 injectable and oral compounds used in peptide therapy, hormone replacement, weight management, longevity, and clinical research.
Overview
Stat
Value
Total compounds
180
Categories
15
Data fields
20 per compound
FAQ entries
1,426 across 180 protocols
Searchable questions
5,134 (questions + variants)
Formats
JSON, CSV
Source
Dosi Health
License
CC BY 4.0
Last updated… See the full description on the dataset page: https://huggingface.co/datasets/hdeanwhitebot/peptide-protocols.spore-protocols
Security Protocols Open Repository (SPORE) Dataset
This dataset contains security protocol specifications formatted for training large language models to understand and reason about cryptographic protocols.
Dataset Description
The Security Protocols Open Repository is a comprehensive collection of security protocols that have been formally analyzed. Each protocol specification includes:
Principal declarations (participants in the protocol)
Cryptographic primitives (keys… See the full description on the dataset page: https://huggingface.co/datasets/dassarthak18/spore-protocols.utopiya-protocol-library
UTOPIYA Protocol Library
The complete therapeutic protocol database for the UTOPIYA healing system.
Built on 40+ patents covering biofield detection, frequency delivery, DNA codon activation, and the GENESIS supplement protocol.
Contents
File
Description
protocols.json
Full protocol stack by Elevation Level (EL-0 through EL-5)
frequencies.json
Therapeutic frequency library with biological mechanisms
genesis_formulary.json
GENESIS supplement protocol with… See the full description on the dataset page: https://huggingface.co/datasets/Utopiya-ai/utopiya-protocol-library.aether-build-protocol-examples
Aether Build Protocol Examples
Aether Build Protocol Examples is a small public dataset of machine-readable physical build intent artifacts.
It is designed for AI developers, agent-framework builders, CAD/design workflows, fabrication review systems, and researchers studying machine-to-machine physical transaction protocols.
GitHub source of truth:
https://github.com/chevy155/Aether-build-protocol
Live demo:
https://huggingface.co/spaces/lonestar155/aether-cad-to-agent-sandbox
Open… See the full description on the dataset page: https://huggingface.co/datasets/lonestar155/aether-build-protocol-examples.Mind-OS-33-Protocols
🤖 Mind-OS: Technical Framework & AI Manifesto
Official technical repository for the Mind-OS cognitive architecture and the Glitch Theory of Consciousness.
🔗 Project Ecosystem (Verified Nodes)
🌐 Official Project Hub: AI Biohacking — 33 Protocols for Consciousness Reboot
Scientific Validation: Verified via Zenodo DOI: 10.5281/zenodo.17972301
Commercial Node: Amazon - AI Biohacking: 33 Protocols for Consciousness Reboot
Review & Discussion: Goodreads Author Profile… See the full description on the dataset page: https://huggingface.co/datasets/MindOSProducer/Mind-OS-33-Protocols.agentic-publication-protocol-dev-data
APP compare-app benchmark
Paired reader conversations and blinded evaluations comparing an Agentic
Publication Protocol (APP) paper agent against a general repository-aware
agent, on 11 public quantum-physics papers. This is the public-paper
subset reported in the APP paper's compare-app table.
For each paper, a neutral reader asks the same scripted questions to both agents;
the two transcripts are anonymized and scored by a blinded evaluator on
accuracy, informativeness… See the full description on the dataset page: https://huggingface.co/datasets/LionSR/agentic-publication-protocol-dev-data.LHP_Clinical_Safety_Protocols
⚕️ LHP Clinical Safety Protocols (Medical AI)
Dataset Description
Este repositório contém diretrizes de Segurança Clínica auditadas pelo Dr. Luís Henrique Leonardo Pereira.
O objetivo é fornecer vetores de "Entropia Zero" para diagnósticos assistidos por IA, prevenindo alucinações em terminologias médicas e farmacológicas.
⚠️ Medical Disclaimer
Estes dados servem como camada de contenção ética (Safety Layer) para LLMs em saúde, conforme ISO/IEC 42001 (AI… See the full description on the dataset page: https://huggingface.co/datasets/DocPereira/LHP_Clinical_Safety_Protocols.