Datasets:

nikos74
/

BMRS

license: cc-by-4.0
task_categories:
  - visual-question-answering
language:
  - en
tags:
  - VQA
  - Benchamrk
  - RS
  - Bongard
size_categories:
  - n<1K

BMRS: Bongard-Maximov Problems for Remote Sensing

Official Dataset for BMRS: Bongard–Maximov Problems for Remote Sensing Preprints.org
Official Code: GitHub.

This dataset includes:

BMRS/

Bongard problems are stored as complete collages of images and separate images. For each Bongard Problem:

right/ - all right images
left/ - all left images
pairs/ - image pairs
collage.png - complete problem
left.png - left side collage
right.png - right side collage

/LLM-as-a-Judge

Additional data needed to run the benchmark.

answer_examples_en.json - correct and incorrect answers examples
judge_system_prompt_en.txt - base prompt for the judge
reference_answers_en.json - reference correct answers
task_type_judge_prompts_en.json - task type specific prompts for judge
tasks_en.json - task types list for each problem

Dataset Structure


BMRS/
├── BMRS/
│   ├── bb_m_01/
│       ├── left/
│       │   ├── im0.png
│       │   ├── ...
│       │   └── im5.png
│       ├── pairs/
│       │   ├── im0.png
│       │   ├── ...
│       │   └── im5.png
│       ├── right/
│       │   ├── im0.png
│       │   ├── ...
│       │   └── im5.png
│       ├── collage.png
│       ├── left.png
│       └── right.png
│   ├── ...
│   └── bb_s_59/
│       ├── left/
│       │   ├── im0.png
│       │   ├── ...
│       │   └── im5.png
│       ├── pairs/
│       │   ├── im0.png
│       │   ├── ...
│       │   └── im5.png
│       ├── right/
│       │   ├── im0.png
│       │   ├── ...
│       │   └── im5.png
│       ├── collage.png
│       ├── left.png
│       └── right.png
├── LLM-as-a-Judge/
│   ├── answer_examples_en.json
│   ├── judge_system_prompt_en.txt
│   ├── reference_answers_en.json
│   ├── task_type_judge_prompts_en.json
│   └── tasks_en.json
├── data/
    └── test.parquet
prompting_strategies.json

Changelog

Data Source

AID: Xia, Gui-Song, et al. "AID: A benchmark data set for performance evaluation of aerial scene classification." IEEE Transactions on Geoscience and Remote Sensing 55.7 (2017): 3965-3981.
VisDrone: Zhu, Pengfei, et al. "Detection and tracking meet drones challenge." IEEE transactions on pattern analysis and machine intelligence 44.11 (2021): 7380-7399.
DOTA: Ding, Jian, et al. "Object detection in aerial images: A large-scale benchmark and challenges." IEEE transactions on pattern analysis and machine intelligence 44.11 (2021): 7778-7796.
MLRSNet: Qi, Xiaoman, et al. "MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding." ISPRS Journal of Photogrammetry and Remote Sensing 169 (2020): 337-350.
HyperHazeOff: Nikonorov, Artem, et al. "HyperHazeOff: Hyperspectral Remote Sensing Image Dehazing Benchmark." Journal of Imaging 11.12 (2025): 422.
WAID: Mou, Chao, et al. "Waid: A large-scale dataset for wildlife detection with drones." Applied Sciences 13.18 (2023): 10397.

Citation

@article{202606.1484,
    doi = {10.20944/preprints202606.1484.v1},
    url = {https://doi.org/10.20944/preprints202606.1484.v1},
    year = 2026,
    month = {June},
    publisher = {Preprints},
    author = {Nikita Firsov and Olga Terekhova and Nikita Odinets and Alexey Fedotov and Artem Muzyka and Anna Ukhanaeva and Anastasia Sarycheva and Sergei Gladilin and Dmitry Sidorchuk},
    title = {BMRS: Bongard–Maximov Problems for Remote Sensing},
    journal = {Preprints}
}

License

This dataset is released under license: cc-by-4.0