HUGGING FACE DATASET

Edge-Agent-Reasoning-WebSearch-260K

Name: Edge-Agent-Reasoning-WebSearch-260K
Creator: Torenn

Torenn/Edge-Agent-Reasoning-WebSearch-260K — source facts cached from the per-dataset Hugging Face API.

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License: MIT; size: 100K<n<1M; creator: Torenn; paper: No arXiv link in cached metadata.

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API snapshot · Jul 14, 2026

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290

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100K<n<1M

Hugging Face metadata

Last modified

Mar 14, 2026

Hugging Face metadata

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Dataset-card excerpt

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…

Hugging Face metadata

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Modalities: 3d, Audio, Document, Image, Text, Video

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