Dataset · Hugging Face

prithivMLmods/Gargantua-R1-Compact

Name: Gargantua-R1-Compact
Creator: prithivMLmods
License: apache-2.0
Keywords: task_categories:text-generation, task_categories:question-answering, language:en, license:apache-2.0, size_categories:1M<n<10M, format:arrow, modality:text, library:datasets, library:mlcroissant, doi:10.57967/hf/6176, region:us, thinking, code, math, MLOps

Gargantua-R1 Distribution Gargantua-R1-Compact(experimental purpose) Gargantua-R1-Compact is a large-scale, high-quality reasoning dataset primarily designed for mathematical reasoning and STEM education. It contains approximately 6.67 million problems and solution traces, with a strong emphasis on mathematics (over 70%), as well as coverage of scientific domains, algorithmic challenges, and creative logic puzzles. The dataset is suitable for training and evaluating… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Gargantua-R1-Compact.

View on Hugging FaceReport an issue

Author / organization	prithivMLmods
License (as declared)	apache-2.0
Downloads	463 (as reported by Hugging Face)
Likes	7
Created	7 August 2025
Last updated at source	9 September 2025

thinkingcodemathMLOpsAIsciencechemistrybiologymedicalMath reasoningDiverse scientific domainsCompetitive codingAcademic scienceCreative & analytic reasoningMLOps/LLMs/diffusion/CUDAGraphs/charts → JSON

Embed this entry

<iframe src="https://silytics.si/embed/item/876e81e0-be03-48b2-b880-e3900a7ae6eb" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from prithivMLmods

prithivMLmods/Openpdf-Analysis-RecognitionDataset
prithivMLmods/Caption3o-Opt-v3Dataset
prithivMLmods/Corvus-OCR-Caption-MixDataset
prithivMLmods/Demeter-LongCoT-6MDataset
prithivMLmods/Open-Omega-Explora-2.5MDataset
prithivMLmods/Caption3o-XL-v4Dataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.