Dataset · Hugging Face

black-yt/Manalyzer

Name: Manalyzer
Creator: black-yt
License: mit
Keywords: task_categories:question-answering, task_categories:visual-question-answering, language:en, license:mit, size_categories:1K<n<10K, format:parquet, modality:image, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2505.20310, region:us, climate

Manalyzer: End-to-end Automated Meta-analysis with Multi-agent System       🆕 Updates/News 🚩 Updates (2026-02-09) Code has been released. 🚩 Updates (2025-05-22) Initial upload to arXiv [PDF]. The code will be released soon. 🎯 Abstract Meta-analysis is a systematic research methodology that synthesizes data from multiple existing studies to derive comprehensive conclusions. This approach not only mitigates limitations inherent in… See the full description on the dataset page: https://huggingface.co/datasets/black-yt/Manalyzer.

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Author / organization	black-yt
License (as declared)	mit
Downloads	201 (as reported by Hugging Face)
Likes	0
Created	21 May 2025
Last updated at source	27 May 2026

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16 Oct 2026 Description: Manalyzer: End-to-end Automated Meta-analysis with Multi-agent System 🆕 Updates/News 🚩 Updates (2026-02-09) Code has been released. 🚩 Updates (2025-05-22) Initial upload to arXiv [PDF]. The code will be released soon. 🎯 Abstract Meta-an → Manalyzer: End-to-end Automated Meta-analysis with Multi-agent System       🆕 Updates/News 🚩 Updates (2026-02-09) Code has been released. 🚩 Updates (2025-05-22) Initial upload to arXiv [PDF]. The code will be released soon

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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.