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README.md
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- image
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- text
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- geospatial
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- remote-sensing
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- earth-observation
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- spatial-understanding
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- cadastral
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- vector-data
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- aerial-imagery
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- parquet
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- datasets
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- geopandas
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pretty_name: GroundSet
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size_categories:
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- 100K<n<1M
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configs:
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- config_name: pretraining
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data_files:
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- split: train
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path: pretraining/train-*
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dataset_info:
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config_name: pretraining
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features:
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- name: image
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dtype: image
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- name: file_name
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dtype: string
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- name: json
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dtype: string
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splits:
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- name: train
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num_bytes: 313640428884.099
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num_examples: 452519
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download_size: 309407032120
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dataset_size: 313640428884.099
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---
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# GroundSet: A Cadastral-Grounded Dataset for Spatial Understanding with Vector Data
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[
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[
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[
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GroundSet is a large-scale Earth Observation dataset grounded in verifiable cadastral vector data, designed to bridge the gap in fine-grained spatial understanding for modern Multimodal Models.
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- image
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- text
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- geospatial
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- remote-sensing
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- earth-observation
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- spatial-understanding
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- cadastral
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- vector-data
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- aerial-imagery
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- parquet
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- datasets
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- geopandas
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# ArXiv Link
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#- arxiv:2603.12345
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pretty_name: GroundSet
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size_categories:
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- 100K<n<1M
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---
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# GroundSet: A Cadastral-Grounded Dataset for Spatial Understanding with Vector Data
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[]()
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[](https://huggingface.co/RogerFerrod/GroundSet-LLaVA-1.6-7B)
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[](https://github.com/rogerferrod/GroundSet)
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GroundSet is a large-scale Earth Observation dataset grounded in verifiable cadastral vector data, designed to bridge the gap in fine-grained spatial understanding for modern Multimodal Models.
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