datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
EarthScience-MLLM-20K
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.EarthScience-Text-LLM-20K-90-10
EarthScience-Text-LLM-20K-90-10
This is a pure-text Earth-science corpus unified from three non-overlapping upstream datasets:
Ekimetrics/climateqa-ipcc-ipbes-reports-1.0: climate and IPCC/IPBES report chunks.
GeoGPT-Research-Project/GeoGPT-CoT-QA: geoscience question-answer reasoning.
gremlin97/RemoteSensingCorpus: remote-sensing and geospatial machine-learning text.
Files and Split
The previous preprocessing outputs were merged into a 23,098-record pool and… See the full description on the dataset page: https://huggingface.co/datasets/moTcream/EarthScience-Text-LLM-20K-90-10.ScholarBench_MC_earth_life_sciencesEarth-sciencestackexchange_earthscience