mapa
Datasets
All datasets matching “mapa”map-anything
MapAnything Training Metadata Dataset
Dataset Description
This dataset contains pre-computed metadata and covisibility matrices for supporting the MapAnything codebase. This metadata enables easy reproducible training for feed-forward 3D reconstruction tasks.
Please see our Data Processing README for more details.
Citation
If you use this dataset in your research, please cite our paper:
@inproceedings{keetha2026mapanything,
title={{MapAnything}: Universal… See the full description on the dataset page: https://huggingface.co/datasets/facebook/map-anything.TA-WB-MapAnythingAetherCode
AetherCode: Evaluating LLMs' Ability to Win In Premier Programming Competitions
Introduction
Competitive programming has emerged as a critical benchmark for evaluating the reasoning and coding capabilities of Large Language Models (LLMs). Despite impressive progress on existing benchmarks, we argue that current evaluations overstate model proficiency, masking a substantial gap between LLMs and elite human programmers. This gap arises… See the full description on the dataset page: https://huggingface.co/datasets/m-a-p/AetherCode.map-anything-benchmarking
MapAnything Benchmarking Dataset
Dataset Description
This dataset contains the WAI format data used for benchmarking feed-forward 3D reconstruction models in the MapAnything codebase.
Please see our Data Processing README for more details.
Citation
If you use this dataset in your research, please cite our paper:
@inproceedings{keetha2026mapanything,
title={{MapAnything}: Universal Feed-Forward Metric {3D} Reconstruction},
author={Nikhil Keetha and Norman… See the full description on the dataset page: https://huggingface.co/datasets/facebook/map-anything-benchmarking.mapai_dataset
Dataset Card for the MapAI Dataset
Dataset Summary
The dataset comprises 7500 training images and 1500 validation images from Denmark. The test dataset is split into two tasks, where the first task (1368 images) is to segment the buildings only using aerial images. In contrast, the second task (978 images) allows using aerial images and lidar data. All data samples have a resolution of 500x500. The aerial images are RGB images, while the lidar data are rasterized. The… See the full description on the dataset page: https://huggingface.co/datasets/sjyhne/mapai_dataset.map-annotation-tool-data
Map Annotation Tool Media
This dataset contains Docling-extracted figure crops grouped by source PDF. It is the
media input for map-annotation-tool; human annotations are maintained separately in
the application repository and submitted through pull requests.
Contents
media/figures/brgm-v1/: 1,512 figures from the earlier BRGM parsing batch,
of which 156 had legacy annotations at migration time.
media/figures/brgm-v2/: 6,046 figures from the newer BRGM parsing… See the full description on the dataset page: https://huggingface.co/datasets/marijanic/map-annotation-tool-data.