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01WootzappLab /browser-agent-tasks Browser Agent Tasks Moderate, multi-step browser tasks for collecting agent trajectories and evaluating screenshot, DOM, and DOM-diff evidence. Files tasks.jsonl: one task definition per line. Each task contains: task_id: stable identifier category: task family instruction: complete instruction given to the browser agent start_url: suggested public starting page stopping_condition: when the agent must stop constraints: safety and scope restrictions These tasks… See the full description on the dataset page: https://huggingface.co/datasets/WootzappLab/browser-agent-tasks.imagen<1K0 likes208 downloads10d agoHugging Face02TIGER-Lab /BrowserAgent-Data BrowserAgent ChatML Dataset (SFT/RFT) This dataset contains ChatML-style multi-turn dialogues for a browser agent task. The data is prepared as JSON Lines so it can be previewed directly with the Hugging Face Hub Data Visualizer and loaded with the datasets library. Links Paper Github Files sft.jsonl — SFT split (one JSON object per line) rft.jsonl — RFT split (one JSON object per line) Schema Each record is a JSON object containing: messages:… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/BrowserAgent-Data.texttext-generation10K<n<100K5 likes207 downloads11mo agoHugging Face03TIGER-Lab /BrowserAgent-SeedData BrowserAgent-Data Dataset used in https://github.com/TIGER-AI-Lab/BrowserAgent. Summary Total rows: 230,015 Total size: ~29.47 MB Subsets: 2wiki, bamboogle, hotpot, musique, nq, popqa Splits and Sizes 2wiki: 22,576 rows (~2.73 MB) bamboogle: 125 rows (~0.03 MB) hotpot: 97,852 rows (~14.20 MB) musique: 12,417 rows (~0.92 MB) nq: 82,778 rows (~10.14 MB) popqa: 14,267 rows (~1.45 MB) Files are stored as Parquet under each subset directory with dev/train/test… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/BrowserAgent-SeedData.textquestion-answering100K<n<1M0 likes159 downloads1y agoHugging Face04saital /browser-agent-phase1-sft-action-only Browser Agent Phase 1 SFT Action-Only What this is Action-only step-level chat SFT data for browser-agent training. Each example teaches the model to predict the next BrowserGym action from: the original generation-time system prompt used for data collection task goal and URL short recent history current observation text and diagnostics Assistant targets contain only the next action. Why this format This is the primary training format for small-model SFT… See the full description on the dataset page: https://huggingface.co/datasets/saital/browser-agent-phase1-sft-action-only.texttext-generation1K<n<10K1 likes98 downloads7mo agoHugging Face05mutantweb /browser-agent-failure-corpus Browser Agent Failure Corpus — case-row view This view contains 30 controlled local regression cases from one owner-produced deterministic run on 2026-08-31 using Qwen/Qwen3-8B-GGUF:Q4_K_M, llama.cpp b10103-c588c4f47, the Codex in-app browser and the historical Mutant Web guard v2, at temperature 0, reasoning budget 0 and at most eight steps per case. It preserves model proposals, guard decisions, executed actions and recorded outcomes for inspectability and reuse. Allowed… See the full description on the dataset page: https://huggingface.co/datasets/mutantweb/browser-agent-failure-corpus.textn<1K1 likes78 downloads1mo agoHugging Face06emgena /agentic_browser_sandbox_guard_teaser 🚀 AI Safety - Agentic Computer Use & Browser-Sandbox Guard (Evaluation Teaser) ⚡ Official Free Evaluation Teaser (50 Verified Multi-Turn Scenarios)🏆 Get the Full Production Package (500 Samples) & Commercial EULA on Gumroad:👉 AI Safety - Agentic Computer Use & Browser-Sandbox Guard on Gumroad🏷️ Use coupon code LAUNCH20 for 20 € off at checkout! 📦 What is Inside the Full Production Package: 500 Verified FAANG v2.0 Scenarios (100% AST-Valid Python) PyArrow… See the full description on the dataset page: https://huggingface.co/datasets/emgena/agentic_browser_sandbox_guard_teaser.texttext-generationn<1K0 likes78 downloads10d agoHugging Face07emgena /emgena_agent_browser_anti_bot_stealth_mcp_teaser 🛡️ Agent Safety - AI Browser Stealth & Anti-Bot Shield MCP (Evaluation Teaser) ⚡ Official Free Evaluation Teaser (50 Verified Scenarios + Executable MCP Server)🏆 Get the Full Production Package & Commercial EULA on Gumroad:👉 Purchase Full Package on Gumroad🏷️ Use coupon code LAUNCH20 for €20 off at checkout! 🌟 Domain Overview & Safety Features Autonomous browser agent stealth shield preventing Cloudflare/DataDome detection, fingerprint leakage, and… See the full description on the dataset page: https://huggingface.co/datasets/emgena/emgena_agent_browser_anti_bot_stealth_mcp_teaser.textn<1K0 likes71 downloads10d agoHugging Face08ProCreations /betterwright-agentic-browser-50k BetterWright Agentic Browser — 6,093-row stopped checkpoint This is the public checkpoint of a generation run originally planned for 50,000 rows. Generation was stopped at the account owner's request and the exact 6,093 accepted rows were packaged. It is synthetic training data, not live browser recordings. Contents 5,971 BetterWright demonstrations and 122 Playwright demonstrations. 32 task domains and 21 browser feature categories. Harness-shaped conversations… See the full description on the dataset page: https://huggingface.co/datasets/ProCreations/betterwright-agentic-browser-50k.texttext-generation1K<n<10K0 likes53 downloads1mo agoHugging Face09DataCreatorAI /tool-calling-browser-agent-tasks Dataset Card Created by: DataCreator AI Overview Tool Calling for Agentic Tasks with Multi-Step Workflows contains 1,062 synthetic multi-turn conversations between a user and an AI assistant. The examples primarily focus on practical agentic tasks such as train ticket booking, dynamic form filling, and payment processing. It provides diverse scenarios including successful execution, context retrieval, tool integration, and failure recovery. The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/DataCreatorAI/tool-calling-browser-agent-tasks.text-generation1K<n<10K2 likes47 downloads7mo agoHugging Face10ishagarg1103 /browser-agent-tasks Browser Agent Tasks Moderate, multi-step browser tasks for collecting agent trajectories and evaluating screenshot, DOM, and DOM-diff evidence. Files tasks.jsonl: one task definition per line. Each task contains: task_id: stable identifier category: task family instruction: complete instruction given to the browser agent start_url: suggested public starting page stopping_condition: when the agent must stop constraints: safety and scope restrictions These tasks… See the full description on the dataset page: https://huggingface.co/datasets/ishagarg1103/browser-agent-tasks.textn<1K0 likes47 downloads1mo agoHugging Face11Vendex /agentic-tooluse-computer-browsertextn<1K0 likes38 downloads3mo agoHugging Face12SalmanSi /qwen3-browser-agent-processedtext100K<n<1M0 likes31 downloads7mo agoHugging Face13parthkl /Agent-browser-tasktext1K<n<10K0 likes31 downloads4mo agoHugging Face14saital /browser-agent-phase1-sft-reasoning-action Browser Agent Phase 1 SFT Reasoning+Action What this is Reasoning-plus-action step-level chat SFT data for browser-agent training. Each example uses the original generation-time system prompt, then appends a short instruction to reason first and output the final action. Assistant targets contain: one <think>...</think> block then one BrowserGym action Why this format This is an experimental variant for comparing whether explicit reasoning supervision helps or… See the full description on the dataset page: https://huggingface.co/datasets/saital/browser-agent-phase1-sft-reasoning-action.texttext-generation1K<n<10K0 likes26 downloads7mo agoHugging Face15kleinnner /article-02-ledger-browser-agent-audit Your browser engine doesn't need the cloud. Cryptographic Audit Ledgers for Autonomous Browser Agents proves it. Cryptographic Audit Ledgers for Autonomous Browser Agents: Verifiable Action Logging with SHA3-256 The Problem Autonomous browser agents?AI-driven systems that navigate web pages, fill forms, and execute user-delegated tasks?present a fundamental accountability problem: how can users verify that an agent acted correctly and did not exceed its… See the full description on the dataset page: https://huggingface.co/datasets/kleinnner/article-02-ledger-browser-agent-audit.0 likes17 downloads4mo agoHugging Face16Anticloud /article-02-ledger-browser-agent-audit Your browser engine doesn't need the cloud. Cryptographic Audit Ledgers for Autonomous Browser Agents proves it. Cryptographic Audit Ledgers for Autonomous Browser Agents: Verifiable Action Logging with SHA3-256 The Problem Autonomous browser agents?AI-driven systems that navigate web pages, fill forms, and execute user-delegated tasks?present a fundamental accountability problem: how can users verify that an agent acted correctly and did not exceed its… See the full description on the dataset page: https://huggingface.co/datasets/Anticloud/article-02-ledger-browser-agent-audit.0 likes14 downloads4mo agoHugging Face17Laramie2 /browseragent-datatext10K<n<100K0 likes14 downloads3mo agoHugging Face18Laramie2 /browseragent-sft0 likes10 downloads3mo agoHugging Face19Laramie2 /browseragent-rl-hotpot7693-nq7693-2000-60stp0 likes4 downloads3mo agoHugging Face

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