| # The_Agentic_Web_From_WithIn_10k |
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| **Creator:** WithIn Us Ai (WithinUsAI) |
| **Version:** 1.0 |
| **Size:** 10,000 unique professional examples |
| **Format:** JSONL |
| **License:** MIT |
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| ## Description |
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| The_Agentic_Web_From_WithIn_10k is a frontier-quality capstone dataset designed to train advanced web-enabled autonomous agentic language models on complete end-to-end web agent trajectories — from objective assignment through search planning, execution, source evaluation, information extraction, verification, synthesis, and professional reporting. |
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| This dataset integrates web search, browsing, extraction, verification, research, planning, and decision making into realistic professional web agent loops. |
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| ## Purpose |
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| Train LLMs to execute complete autonomous web research and synthesis tasks with full traceability, verification, and professional output quality. |
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| ## Training Benefits |
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| Improves complete web-agent loop capability, autonomous information gathering, verification, synthesis, and reliable professional reporting from web sources. |
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| ## Dataset Structure & Schema |
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| JSONL with instruction, input, and output containing thinking, objective, search_plan, search_execution, source_evaluation, information_extraction, verification_process, synthesized_result, confidence_assessment, and final_report. |
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| ## Example Records |
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| Full professional web agent trajectory examples (integrating all web skills) across target domains are provided in the dataset file. Each demonstrates rigorous end-to-end reasoning inside <think> tags. |
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| ## Domain Coverage |
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| Technical research, AI/ML, software engineering, cybersecurity, medicine, finance, business, startups, infrastructure, cloud computing, and related professional fields. |
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| ## Quality Standards |
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| Exactly 10,000 unique professional examples. Capstone dataset combining concepts from the entire web agentic series. |
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| ## Recommended Training Usage |
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| Use as capstone for full web-enabled autonomous agents. Pair with all other WithinUsAI web and agentic datasets for progressive skill building (search → browse → extract → full agent loop). |
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| ## Citation & License |
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| MIT License. Created by WithIn Us Ai (WithinUsAI). |
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| **WithinUsAI** — Building the highest quality datasets for frontier agentic intelligence. |
