Dataset · Hugging Face

moTcream/EarthScience-MLLM-20K

Name: EarthScience-MLLM-20K
Creator: moTcream
License: other
Keywords: task_categories:visual-question-answering, task_categories:image-to-text, task_categories:object-detection, language:en, license:other, size_categories:10K<n<100K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, region:us

EarthScience-MLLM-20K A unified JSONL package for multimodal large-model training across three Earth-science domains: Meteorology from ZhanxiangHua/WeatherQA_SFT. Geography / map QA from HuggingFaceM4/the_cauldron config mapqa. Remote-sensing common-sense QA + grounding/detection from xiang709/VRSBench. The package intentionally excludes segmentation-style targets. Each JSONL line is one training/evaluation unit. Files train.jsonl: 20000 examples. test.jsonl:… See the full description on the dataset page: https://huggingface.co/datasets/moTcream/EarthScience-MLLM-20K.

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Author / organization	moTcream
License (as declared)	other
Downloads	743 (as reported by Hugging Face)
Likes	0
Created	15 July 2026
Last updated at source	15 July 2026

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