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Dataset Β· Hugging Face

TIGER-Lab/WebInstruct-verified

General-Reasoner: Advancing LLM Reasoning Across All Domains πŸ’» Code | πŸ“„ Paper | πŸ“Š Dataset | πŸ€— Model | 🌐 Project Page Overview Figure: Effectiveness of General-Reasoner trained with diverse verifiable reasoning questions using model-based verifier compared to baseline methods on various reasoning tasks. General-Reasoner is a training paradigm for large language models (LLMs), designed to robustly enhance reasoning abilities… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/WebInstruct-verified.

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Author / organizationTIGER-Lab
License (as declared)apache-2.0
Downloads2K (as reported by Hugging Face)
Likes69
Created10 April 2025
Last updated at source27 November 2025
science
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  • 16 Oct 2026 Description: General-Reasoner: Advancing LLM Reasoning Across All Domains πŸ’» Code | πŸ“„ Paper | πŸ“Š Dataset | πŸ€— Model | 🌐 Project Page Overview Figure: Effectiveness of General-Reasoner trained with diverse verifiable reasoning questions using model-bas β†’ General-Reasoner: Advancing LLM Reasoning Across All Domains πŸ’» Code | πŸ“„ Paper | πŸ“Š Dataset | πŸ€— Model | 🌐 Project Page Overview Figure: Effectiveness of General-Reasoner trained with diverse verifiable reasoning questions using model-bas

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