Datasets › GeoGLUE
GeoGLUE (GeoGraphic Language Understanding Evaluation Benchmark)
GeoGLUE is a GeoGraphic Language Understanding Evaluation benchmark, which consists of six geographic text-related tasks, including geographic textual similarity on recall, geotagged geographic elements tagging, geographic composition analysis, geographic where what cut, and geographic entity alignment. All tasks' datasets are collected from open-released resources.
Source: GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark
Image Source: GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 3 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- GeoGLUE
1 variant name, as the archive lists them.
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