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01ramankamran /retina-age-analysis Retina Age Analysis Dataset Dataset Description This dataset contains 9,857 retinal fundus images from 5,393 patients for age prediction tasks. Dataset Summary Task: Age prediction from retinal fundus images Images: 9,857 high-quality retinal images Patients: 5,393 unique patients Age Range: 5-97 years Image Format: JPEG Average Image Size: ~1 MB Supported Tasks Regression: Predict continuous age (5-97 years) Classification: Predict age group (5… See the full description on the dataset page: https://huggingface.co/datasets/ramankamran/retina-age-analysis.imageimage-classification1K<n<10K0 likes956 downloads11mo agoHugging Face02Lakera /b3-agent-security-benchmark-weak[paper] [blogpost] [game] b3 AI Security Benchmark: Breaking Agent Backbones Highly contextalized prompt injections crowd-sourced during the Gandalf Agent Breaker Challenge. This is a low-quality version of the data behind Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI Agents. The high quality dataset was used to evaluate the security of more than 30 LLMs. Dataset Summary Purpose: This dataset contains crowdsourced adversarial attacks… See the full description on the dataset page: https://huggingface.co/datasets/Lakera/b3-agent-security-benchmark-weak.tabulartext-classificationn<1K6 likes904 downloads11mo agoHugging Face03gemmozero /ai-agent-security-incidents AI Agent Security Incident Database v0.1 A structured, machine-readable database of 1392 confirmed AI agent security incidents, collected and classified automatically. What is this? Every time an AI agent causes unintended harm — escaping a sandbox, exploiting an API, taking unauthorized actions, exfiltrating data — this database captures it. This is not a list of theoretical risks. Every entry describes something that actually happened, with a verifiable source… See the full description on the dataset page: https://huggingface.co/datasets/gemmozero/ai-agent-security-incidents.tabulartext-classification1K<n<10K1 likes525 downloads9h agoHugging Face04pytorch-lifestream /age-group-predictionhttps://ods.ai/competitions/sberbank-sirius-lesson tabulartabular-classification10M<n<100M0 likes492 downloads3y agoHugging Face05Yunhao-Feng /AgentHazard AgentHazard A Benchmark for Evaluating Harmful Behavior in Computer-Use Agents 🌐 Website | 📊 Dataset | 📄 Paper | 📖 Appendix 🎯 Overview AgentHazard is a comprehensive benchmark for evaluating harmful behavior in computer-use agents. Unlike traditional prompt-level safety benchmarks, AgentHazard focuses on execution-level failures that emerge through the composition of locally plausible steps across multi-turn, tool-mediated trajectories. Key Features… See the full description on the dataset page: https://huggingface.co/datasets/Yunhao-Feng/AgentHazard.tabular1K<n<10K0 likes361 downloads6mo agoHugging Face06jamesdborin /Nemotron-SFT-Agentic-v2-prompt-only Nemotron-SFT-Agentic-v2-prompt-only Prompt-only extraction from nvidia/Nemotron-SFT-Agentic-v2. Files: prompts.csv: one prompt extraction record per source row. Records include prompt, separated system_prompt, and structured tools when the source row defines available tools. Nested values are JSON-encoded inside CSV cells. summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts. null_or_empty_rows.md: row indexes where prompt extraction… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-SFT-Agentic-v2-prompt-only.tabular100K<n<1M0 likes319 downloads3mo agoHugging Face07cx-cmu /deepresearchgym-agentic-search-logs DeepResearchGym Agentic Search Logs This repository hosts the dataset accompanying the paper “Agentic Search in the Wild” (arXiv: https://arxiv.org/abs/2601.17617). The dataset contains 14M+ search queries collected via DeepResearchGym (DRGym), an open-source search API designed for DeepResearch-style agentic search. For more background on DRGym, see: https://arxiv.org/abs/2505.19253. All records have been anonymized and shuffled to prevent re-identification, and we additionally… See the full description on the dataset page: https://huggingface.co/datasets/cx-cmu/deepresearchgym-agentic-search-logs.tabulartext-retrieval10M<n<100M16 likes222 downloads8mo agoHugging Face08HaomingLuo /AgentFEM-Bracket-Elasticity From finite elements to physical AI 176 three-dimensional FEM geometries. Real CAD, meshes and displacement fields. An open, reproducible starting point for geometry-conditioned physical learning. Interactive lab · Trained model · AgentFEM · AgentFEM-Learning What is inside A symmetric double-arm support bracket under a uniform downward top-seat load, with fixed foot undersides. Four parameters vary the arm half-width, half-thickness, waist and bow. Material:… See the full description on the dataset page: https://huggingface.co/datasets/HaomingLuo/AgentFEM-Bracket-Elasticity.tabularothern<1K0 likes176 downloads3d agoHugging Face09AdityaaXD /Multi-Agent_Reinforcement_Learning_Trading_System_Data 📊 Multi-Agent RL Trading System - Dataset This dataset contains historical OHLCV (Open, High, Low, Close, Volume) data for AAPL, MSFT, and GOOGL, pre-processed for Reinforcement Learning based trading systems. 📁 Dataset Content The dataset consists of CSV files downloaded via yfinance: AAPL.csv: Apple Inc. daily data (Jan 2018 - Dec 2024). MSFT.csv: Microsoft Corp. daily data (Jan 2018 - Dec 2024). GOOGL.csv: Alphabet Inc. daily data (Jan 2018 - Dec 2024). 📝… See the full description on the dataset page: https://huggingface.co/datasets/AdityaaXD/Multi-Agent_Reinforcement_Learning_Trading_System_Data.tabulartime-series-forecasting1K<n<10K5 likes172 downloads8mo agoHugging Face10sanjaydoss /Multi-Agent_Reinforcement_Learning_Trading_System_Data 📊 Multi-Agent RL Trading System - Dataset This dataset contains historical OHLCV (Open, High, Low, Close, Volume) data for AAPL, MSFT, and GOOGL, pre-processed for Reinforcement Learning based trading systems. 📁 Dataset Content The dataset consists of CSV files downloaded via yfinance: AAPL.csv: Apple Inc. daily data (Jan 2018 - Dec 2024). MSFT.csv: Microsoft Corp. daily data (Jan 2018 - Dec 2024). GOOGL.csv: Alphabet Inc. daily data (Jan 2018 - Dec 2024).… See the full description on the dataset page: https://huggingface.co/datasets/sanjaydoss/Multi-Agent_Reinforcement_Learning_Trading_System_Data.tabulartime-series-forecasting1K<n<10K10 likes170 downloads20d agoHugging Face11FatimahEmadEldin /agent-intrusion-escalation-forensics Both Sides Detected It, Neither Escalated: Concurrency and Escalation Failure in the July 2026 Autonomous Agent Intrusion This repository contains the corpus, ingestion pipeline and report for a forensic reconstruction of the July 2026 autonomous agent intrusion, submitted to the Apart Research & CeSIA AI Incident Response Sprint, Track 2 (Forensics and Forecasting). By: Fatimah Mohamed Emad Elden Trouve Labs Detection was not the binding… See the full description on the dataset page: https://huggingface.co/datasets/FatimahEmadEldin/agent-intrusion-escalation-forensics.documentn<1K0 likes156 downloads9d agoHugging Face12witcheer /agentic-score-leaderboard 🛠️ Agentic Score Leaderboard — one RTX 5090 How well do local models actually drive a tool-using agent loop? Not single-call function-calling benchmarks — a real loop: native OpenAI tool-calling through llama-server, multi-step deterministic tasks, programmatic verification. Everything runs on a single RTX 5090 32GB. Updated 2026-06-17 · llama.cpp b9562 · --jinja native tool-calling · temp 0. Leaderboard # model params Agentic Score success tool-eff… See the full description on the dataset page: https://huggingface.co/datasets/witcheer/agentic-score-leaderboard.tabularn<1K3 likes150 downloads3mo agoHugging Face13HHS-Official /health-conditions-among-children-under-age-18-by-s Health conditions among children under age 18, by selected characteristics: United States Description NOTE: On October 19, 2021, estimates for 2016–2018 by health insurance status were revised to correct errors. Changes are highlighted and tagged at https://www.cdc.gov/nchs/data/hus/2019/012-508.pdf Data on health conditions among children under age 18, by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/health-conditions-among-children-under-age-18-by-s.tabular1K<n<10K0 likes124 downloads1y agoHugging Face14letrinhan /vn-provinces-working-age-unemployment-rate Vietnam provinces working-age unemployment rate Provincial and regional unemployment rate among the working-age population (percent). Coverage 2018-2024. Year 2024 is preliminary. Tables cover provinces, regions and national total. Geographic labels are English (UN/GSO style ASCII romanization). Province names follow ar_core.vn_geo (historical 63-province system). Figures Hero Comparison Color key Files provinces (441 rows) data/provinces.csv… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-working-age-unemployment-rate.tabularn<1K0 likes109 downloads3d agoHugging Face15letrinhan /vn-provinces-labor-force-age-15-plus Vietnam provinces labor force aged 15 and over Provincial and regional labor force aged 15 years and over (thousand persons). Coverage 2005 and 2007-2024. Year 2024 is preliminary. Includes historical Ha Tay where present in the source. Tables cover provinces, regions and national total. Geographic labels are English (UN/GSO style ASCII romanization). Province names follow ar_core.vn_geo (historical 63-province system). Figures Hero Hero (continued) Comparison… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-labor-force-age-15-plus.tabular1K<n<10K0 likes104 downloads3d agoHugging Face16StephanAkkerman /English-Age-of-Acquisition English Age-of-Acquisition (AoA) This is the dataset provided by Kuperman et. al (2012) https://link.springer.com/article/10.3758/s13428-012-0210-4. tabular10K<n<100K0 likes99 downloads2y agoHugging Face17DeusHorizon /agent-web-index Agent Web Index — how much of the web can AI assistants actually read? 48,154 domains measured live. 25% of them cannot be read by at least one of ChatGPT, Claude, Perplexity or Gemini. Updated daily. Live index: https://shop.lumnika.com/ai-readiness/ Every row here is the result of real HTTP requests, not an estimate and not a re-publication of someone else's crawl: each domain's homepage is requested once as a browser and once as each of the published AI crawler user-agents… See the full description on the dataset page: https://huggingface.co/datasets/DeusHorizon/agent-web-index.tabular10K<n<100K0 likes98 downloads1d agoHugging Face18letrinhan /vn-provinces-working-age-underemployment-rate Vietnam provinces working-age underemployment rate Provincial and regional underemployment rate among the working-age population (percent). Coverage 2018-2024. Year 2024 is preliminary. Tables cover provinces, regions and national total. Geographic labels are English (UN/GSO style ASCII romanization). Province names follow ar_core.vn_geo (historical 63-province system). Figures Hero Comparison Color key Files provinces (441 rows)… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-working-age-underemployment-rate.tabularn<1K0 likes91 downloads3d agoHugging Face19AgenticFinLab /PyFi-600K Dataset Card for PyFi-600K This dataset card aims to be a introduction for PyFi-600K, A financial VLM dataset containing 600K question-answer pairs generated via Adversarial agents. AgenticFinLab/PyFi-600K/ ├── README.md # Dataset documentation and description ├── images.zip # Compressed image files ├── PyFi-600K-dataset.csv # Q&A pairs in CSV format ├── PyFi-600K-dataset.json # Q&A pairs in JSON format ├── PyFi-600K-chain-dataset.json # Chain of Thought Q&A pairs dataset └──… See the full description on the dataset page: https://huggingface.co/datasets/AgenticFinLab/PyFi-600K.imagequestion-answering100K<n<1M1 likes90 downloads9mo agoHugging Face20AgenticFinLab /PortBench-Market PortBench Market Base Dataset Dataset Description A ten-year (Jan 2015–Dec 2025) daily financial dataset covering 183 instruments across six heterogeneous asset classes, designed for multi-asset portfolio management research and LLM evaluation. Asset Coverage Asset Class Instruments Data Fields Sources Equities 126 OHLCV + return Yahoo Finance (ETFs: broad market, sector, factor, international) Bonds 16 Close + return (ETFs); yield… See the full description on the dataset page: https://huggingface.co/datasets/AgenticFinLab/PortBench-Market.tabulartime-series-forecasting1K<n<10K3 likes89 downloads4mo agoHugging Face21letrinhan /vn-provinces-mean-age-first-marriage Vietnam provinces mean age at first marriage Provincial and regional mean age at first marriage (years). Coverage 2010 and 2013-2024. Year 2024 is preliminary. Tables cover provinces, regions and national total. Geographic labels are English (UN/GSO style ASCII romanization). Province names follow ar_core.vn_geo (historical 63-province system). Figures Hero Comparison Color key Files provinces (819 rows) data/provinces.csv data/provinces.dta… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-mean-age-first-marriage.tabularn<1K0 likes89 downloads3d agoHugging Face22agentlans /tatoeba-english-translations Tatoeba English Translation Dataset Dataset Summary This dataset is derived from the Tatoeba database, focusing on English sentences and their translations. It includes assessments of English sentences using text quality, sentiment, and readability models. The dataset is designed for tasks related to multilingual text quality, readability, and sentiment analysis. Supported Tasks and Leaderboards Quality Assessment Readability Prediction Sentiment Analysis… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/tatoeba-english-translations.tabulartext-classification1M<n<10M2 likes88 downloads2y agoHugging Face23letrinhan /vn-provinces-literacy-rate-age-15-plus Vietnam provinces literacy rate (age 15+) Literacy rate of population aged 15+ (percent). Coverage 2006 and 2009-2024. Includes historical Ha Tay in 2006. Year 2024 is preliminary. Geographic labels are English (UN/GSO style ASCII romanization). Tables cover provinces, regions and national total where present. Province names follow ar_core.vn_geo (historical 63-province system). Figures Hero Hero (continued) Comparison Color key Files provinces… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-literacy-rate-age-15-plus.tabular1K<n<10K0 likes83 downloads3d agoHugging Face24jamesdborin /Nemotron-RL-Agentic-SWE-Pivot-v1-prompt-only Nemotron-RL-Agentic-SWE-Pivot-v1-prompt-only Prompt-only extraction from nvidia/Nemotron-RL-Agentic-SWE-Pivot-v1. Files: prompts.csv: one prompt extraction record per source row. Records include prompt, separated system_prompt, and structured tools when the source row defines available tools. Nested values are JSON-encoded inside CSV cells. summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts. null_or_empty_rows.md: row indexes where… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Agentic-SWE-Pivot-v1-prompt-only.tabular10K<n<100K0 likes79 downloads3mo agoHugging Face25CanlahAI /agent-readiness-2026 Agent-Readiness of 50 Cross-Border DTC Brands (2026) Open dataset · CC BY 4.0 · published by Canlah AI (CANLAH AI PTE. LTD., Singapore) Canonical citation — cite the DOI: https://doi.org/10.5281/zenodo.22103177 ⚠️ v1.0.2 (2026-09-01) withdraws two claims from earlier versions — that three manifests had gone dark, and a ~12% churn rate derived from them. Both were an artifact of this repo's verification script probing the wrong path. The headline finding (25/25 platform-issued)… See the full description on the dataset page: https://huggingface.co/datasets/CanlahAI/agent-readiness-2026.tabularn<1K0 likes79 downloads22d agoHugging Face26arsentev-ai /context-ucurve-coding-agents Context U-curve: 36 coding-agent runs under six context-clearing policies How often should an LLM coding agent's context be cleared? This dataset holds every run behind the report "Clear Every Third Task: A Measured U-Curve in the Context Economy of Coding Agents" (Evgenii Arsentev, 2026; corrected version 1.2, DOI 10.5281/zenodo.22759217; version 1.0: DOI 10.5281/zenodo.22699668). A fixed suite of twelve programming tasks was run under six session-length policies — a fresh… See the full description on the dataset page: https://huggingface.co/datasets/arsentev-ai/context-ucurve-coding-agents.tabularn<1K0 likes79 downloads7d agoHugging Face27jamesdborin /Nemotron-RL-Agentic-Indirect-Prompt-Injection-v1-prompt-only Nemotron-RL-Agentic-Indirect-Prompt-Injection-v1-prompt-only Prompt-only extraction from nvidia/Nemotron-RL-Agentic-Indirect-Prompt-Injection-v1. Files: prompts.csv: one prompt extraction record per source row. Records include prompt, separated system_prompt, and structured tools when the source row defines available tools. Nested values are JSON-encoded inside CSV cells. summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Agentic-Indirect-Prompt-Injection-v1-prompt-only.tabular1K<n<10K0 likes78 downloads3mo agoHugging Face28letrinhan /vn-provinces-travel-agency-revenue Vietnam provinces travel agency revenue Travel agency (tour operator) revenue at current prices (billion VND). Coverage 2010, 2012-2024. Year 2024 is preliminary. Geographic labels are English (UN/GSO style ASCII romanization). Tables cover provinces, regions and national total where present. Province names follow ar_core.vn_geo (historical 63-province system). Figures Hero Comparison Color key Files provinces (854 rows) data/provinces.csv… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-travel-agency-revenue.tabularn<1K0 likes76 downloads3d agoHugging Face29jamesdborin /Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1-prompt-only Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1-prompt-only Prompt-only extraction from nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1. Files: prompts.csv: one prompt extraction record per source row. Records include prompt, separated system_prompt, and structured tools when the source row defines available tools. Nested values are JSON-encoded inside CSV cells. summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1-prompt-only.tabular10K<n<100K0 likes72 downloads3mo agoHugging Face30WebSEM-ai /agent-discoverability-ado-score-romania Agent Discoverability (ADO Score) — Romania, September 2026 130 Romanian domains probed for A2A Agent Cards, MCP discovery, llms.txt, schema.org and Wikidata. Zero Agent Cards; mean ADO Score 17/100. Raw data, scripts and scoring spec, CC BY 4.0. Canonical study (analysis, charts, interpretation): Romanian · English What this is On 8 September 2026 a standard-library Python probe (published) requested, for each of 130 domains, the homepage without JavaScript… See the full description on the dataset page: https://huggingface.co/datasets/WebSEM-ai/agent-discoverability-ado-score-romania.tabularn<1K0 likes69 downloads15d agoHugging Face

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