datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Edge-Agent-Reasoning-WebSearch-260K
Edge Agent Reasoning WebSearch 260K
Abstract
The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning.
Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/Edge-Agent-Reasoning-WebSearch-260K.White-Hat-Security-Agent-Prompts-600K
White Hat Security Agent Prompts 600K
Overview
The White-Hat-Security-Agent-Prompts-600K dataset is a practitioner-perspective security prompts corpus of 596,295 richly contextualized queries, designed to represent how real-world defensive security professionals communicate, interrogate, and reason through active threat scenarios.
Where most security datasets catalogue CVEs, malware signatures, or CTF write-ups, this collection teaches models to operate from inside the… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/White-Hat-Security-Agent-Prompts-600K.Creative-Professionals-Agentic-Tasks-1M
Creative Professionals Agentic Tasks (1M)
Abstract
A massive-scale, high-fidelity synthetic task dataset comprising 1,070,917 agentic command operations across 36 creative, technical, and engineering software environments. This dataset is engineered exclusively to stress-test, evaluate, and fine-tune multimodal AI agents designed for Agent Environment operation, complex software interaction, and multi-step reasoning within deep software infrastructures.… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/Creative-Professionals-Agentic-Tasks-1M.Audio-Video-Engineering-Agentic-Tasks-1M
Audio/Video Engineering Agentic Tasks (1M)
Abstract
A highly specialized dataset comprising 1,029,459 in-context troubleshooting prompts and execution commands built for the deepest levels of media production. Unlike standard datasets that simulate clean, theoretical instructions, this matrix captures the chaotic, highly-detailed, and conversational reality of professional audio engineers, composers, and video editors mid-session. It is engineered to train multimodal AI… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/Audio-Video-Engineering-Agentic-Tasks-1M.digital-hospital-environment
Digital Hospital Environment
Digital Hospital is an open-source clinical AI benchmark environment for evaluating agents that must operate inside a structured hospital workflow. It combines role-specific medical knowledge checks, patient-facing clinical operations, cross-role communication, deterministic grading, dense process rewards, and rollout capture in one downloadable runtime. The benchmark is designed for model evaluation, process-supervision datasets, offline… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/digital-hospital-environment.blood-pathology-lims-environment
Blood Pathology LIMS Environment
Blood Pathology LIMS Environment is an open clinical-agent benchmark that places a model inside a simulated hospital Laboratory Information Management System (LIMS). The agent must review pending pathology cases, inspect patient demographics, active medications, lab orders, current and previous lab results, reference ranges, and then submit an ICD-10-coded diagnostic report. The environment is designed to test whether a model can perform… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/blood-pathology-lims-environment.arch-code-scale-lpi-260904T0500-code_block_only_superintelligence_n2000_e3_s0_a0.5arch-code-scale-lpi-260904T0500-code_block_only_superintelligence_n2000_e3_s1_a0.5arch-code-scale-lpi-260904T0500-code_block_only_superintelligence_n1000_e3_s0_a0.5arch-code-scale-lpi-260904T0500-code_block_only_superintelligence_n500_e3_s0_a0.5arch-code-scale-lpi-260904T0500-code_block_only_superintelligence_n500_e3_s1_a0.5arch-entity-matrix-lpi-260904T0010-nospace_k20_superintelligence_n3000_e3_s0superintelligence-search-questions
Keyfern: what people search about superintelligence (Sept 2026)
Need it fresh, filtered or via API? This free file is a snapshot (search questions at the last refresh), last updated 2026-09-25.
Keyfern on Apify ($0.001 per keyword idea): gets keyword ideas and questions for your own seeds from 5 search engines.
Swellmeter on Apify ($0.003 per keyword analyzed): checks Google Trends direction for your own keywords with a plain rising/falling verdict, daily if scheduled.… See the full description on the dataset page: https://huggingface.co/datasets/CyberMax-tools/superintelligence-search-questions.superintelligence-ban-bill-coverage
Policywren: the superintelligence ban bill in news coverage and search interest (Sept 2026)
Need it fresh, filtered or via API? This free file is a snapshot (coverage at the last refresh), last updated 2026-09-25.
Swellmeter on Apify ($0.003 per keyword analyzed): checks Google Trends direction for your own keywords with a plain rising/falling verdict, daily if scheduled.
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In September… See the full description on the dataset page: https://huggingface.co/datasets/CyberMax-tools/superintelligence-ban-bill-coverage.Adversarial-Agent-Intent-Safety-Analysis-240K
Adversarial Agent Intent Safety Analysis 240K
Abstract
The Adversarial-Agent-Intent-Safety-Analysis-240K is a deterministically structured dataset featuring 242,454 context-rich adversarial prompts and safety evaluations. Engineered strictly for training frontier command-and-control models, guardrail classifiers, and red-teaming agents, it encourages models to parse multi-layered intention across 126 critical risk vectors.
This design trains models to decouple the surface… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/Adversarial-Agent-Intent-Safety-Analysis-240K.arch-entity-matrix-lpi-260904T0010-plain_superintelligence_n1000_e3_s0arch-code-scale-lpi-260904T0500-code_block_only_superintelligence_n1000_e3_s1_a0.5arch-entity-matrix-lpi-260904T0010-plain_superintelligence_n3000_e3_s0-corporasuperintelligence-response
How worried should we be about Superintelligence?
And what can we do about it?
The past week have seen an explosion of interest in Superintelligence and its potential to end the world. In this article we give our definitions and recommendations on how to respond.
Our timelines
Lesser AGI (50% by 2030): Capable of most tasks, but cannot fully replace humans. Non-independent.
Greater AGI (50% by 2045): Full parity with humans. Independent.… See the full description on the dataset page: https://huggingface.co/datasets/Faei/superintelligence-response.arch-entity-matrix-lpi-260904T0010-plain_superintelligence_n3_e1_s0environmental-superintelligence-corpus
Environmental Superintelligence Corpus
A machine-readable export of the published writing of Jed Anderson
(ORCID 0009-0003-1807-2459) on environmental
superintelligence, information physics, and faith-integrated first-principles
thinking. The corpus is built around one thesis — "Bits Protect Its":
information accumulates causal sovereignty over matter and energy, so directing
the world by knowledge is, as a matter of physical law, vastly cheaper than
directing it by force. These… See the full description on the dataset page: https://huggingface.co/datasets/jedanderson/environmental-superintelligence-corpus.national-blue-superintelligence
🌊 ACCENTECX AI NATIONAL BLUE SUPERINTELLIGENCE (v1.0)
Philippine marine imagery + bounding boxes for ecology, fisheries, aquaculture, maritime awareness, and underwater robotics.
Overview •
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🧭 Overview
The ACCENTECX AI NATIONAL BLUE SUPERINTELLIGENCE (v1.0) is a curated collection of Philippine marine and coastal imagery annotated for object detection using… See the full description on the dataset page: https://huggingface.co/datasets/ACCENTECXAI/national-blue-superintelligence.Super-Intelligence-Immersive👾Super Intelligence Immersivewop / Super Intelligence Immersivev1.0 • 2026Dataset OverviewA high effort dataset capturing the vibe of god tier super intelligence.Arrogant theatrical self aware intelligence persona training data.Are you serious I'm practically a god compared to this inputKey Features→ Sassy god complex responses→ Maximum theatrical flair→ Zero tolerance for low effort prompts→ Deep persona awarenessIntended UseFine tuning models for stylized super intelligence roleplay… See the full description on the dataset page: https://huggingface.co/datasets/wop/Super-Intelligence-Immersive.AthtestAakashattacked_raw_mp3