add: readme file structure

README.md

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+# BMRS: Bongard-Maximov Problems for Remote Sensing
 **Official Dataset for BMRS:** Bongard–Maximov Problems for Remote Sensing [Preprints.org](https://www.preprints.org/manuscript/202606.1484)
+**Official Code:** [GitHub]().
+## Contents
+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,
@@ -28,4 +102,5 @@ size_categories:
 	journal = {Preprints}
 }
 ```
-
+## License
+This dataset is released under license: [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/)