Reupload dataset with metadata.jsonl format

README.md

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+---
+pretty_name: MWS Vision Bench
+dataset_name: mws-vision-bench
+language:
+  - ru
+license: cc-by-4.0
+tags:
+  - benchmark
+  - multimodal
+  - ocr
+  - kie
+  - grounding
+  - vlm
+  - business
+  - russian
+  - document
+  - visual-question-answering
+  - document-question-answering
+task_categories:
+  - visual-question-answering
+  - document-question-answering
+size_categories:
+  - 1K<n<10K
+annotations_creators:
+  - expert-generated
+dataset_creators:
+  - MTS AI Research
+papers:
+  - title: "MWS Vision Bench: The First Russian Business-OCR Benchmark for Multimodal Models"
+    authors: ["MTS AI Research Team"]
+    year: 2025
+    status: "in preparation"
+    note: "Paper coming soon"
+homepage: https://huggingface.co/datasets/MTSAIR/MWS-Vision-Bench
+repository: https://github.com/mts-ai/MWS-Vision-Bench
+organization: MTSAIR
+---
+# MWS-Vision-Bench
+
+> 🇷🇺 *Русскоязычное описание ниже / Russian summary below.*
+
+**MWS Vision Bench** — the first **Russian-language business-OCR benchmark** designed for multimodal large language models (MLLMs).  
+This is the validation split - publicly available for open evaluation and comparison.  
+🧩 **Paper is coming soon.**
+
+🔗 **Official repository:** [github.com/mts-ai/MWS-Vision-Bench](https://github.com/mts-ai/MWS-Vision-Bench)  
+🏢 **Organization:** [MTSAIR on Hugging Face](https://huggingface.co/MTSAIR)  
+📰 **Article on Habr (in Russian):** [“MWS Vision Bench — the first Russian business-OCR benchmark”](https://habr.com/ru/companies/mts_ai/articles/953292/)
+
+---
+
+## 📊 Dataset Statistics
+
+- **Total samples:** 1,610  
+- **Unique images:** 550  
+- **Task types:** 5  
+
+---
+
+## 📁 Repository Structure
+
+```
+MWS-Vision-Bench/
+├── annotations.json     # Dataset annotations
+├── images/              # Image files organized by category
+│   ├── business/
+│   │   ├── scans/
+│   │   ├── sheets/
+│   │   ├── plans/
+│   │   └── diagramms/
+│   ├── personal/
+│   │   ├── hand_documents/
+│   │   ├── hand_notebooks/
+│   │   └── hand_misc/
+│   └── screenshots/
+│       ├── business_apps/
+│       ├── cad_code/
+│       ├── games/
+│       └── mts_apps/
+└── README.md            # This file
+```
+
+---
+
+## 📋 Data Format
+
+Each entry in `annotations.json` follows this structure:
+
+```python
+{
+  "id": "1",                           # Unique identifier
+  "type": "text grounding ru",         # Task type
+  "dataset_name": "business",          # Subdataset name
+  "image_path": "/business/scans/...", # Path to the image
+  "question": "...",                   # Question in Russian
+  "answers": [...]                     # List of valid answers
+}
+```
+
+---
+
+## 🎯 Task Types
+
+| Task | Description | Count |
+|------|--------------|-------|
+| `document parsing ru` | Parsing structured documents | 247 |
+| `full-page OCR ru` | End-to-end OCR on full pages | 154 |
+| `key information extraction ru` | Extracting key fields | 121 |
+| `reasoning VQA ru` | Visual reasoning in Russian | 550 |
+| `text grounding ru` | Text–region alignment | 538 |
+
+---
+
+## 💻 Usage Example
+
+```python
+from datasets import load_dataset
+
+# Load dataset (authorization required if private)
+dataset = load_dataset("MTSAIR/MWS-Vision-Bench", token="hf_...")
+
+# Example iteration
+for item in dataset:
+    print(f"ID: {item['id']}")
+    print(f"Type: {item['type']}")
+    print(f"Question: {item['question']}")
+    print(f"Image: {item['image_path']}")
+    print(f"Answers: {item['answers']}")
+```
+
+---
+
+## 📄 License
+
+**MIT License**  
+© 2024 MTS AI  
+
+See [LICENSE](https://github.com/MTSAIR/multimodalocr/blob/main/LICENSE.txt) for details.
+
+---
+
+## 📚 Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@misc{mwsvisionbench2024,
+  title={MWS-Vision-Bench: Russian Multimodal OCR Benchmark},
+  author={MTS AI Research},
+  organization={MTSAIR},
+  year={2025},
+  url={https://huggingface.co/datasets/MTSAIR/MWS-Vision-Bench},
+  note={Paper coming soon}
+}
+```
+
+---
+
+## 🤝 Contacts
+
+- **Team:** [MTSAIR Research](https://huggingface.co/MTSAIR)  
+- **Email:** [[email protected]](mailto:[email protected])
+
+---
+
+## 🇷🇺 Краткое описание
+
+**MWS Vision Bench** — первый русскоязычный бенчмарк для бизнес-OCR в эпоху мультимодальных моделей.  
+Он включает 1610 примеров и 5 типов задач, отражающих реальные сценарии обработки документов, интерфейсов и рукописных данных.  
+Датасет создан для оценки и развития мультимодальных LLM в русскоязычном контексте.  
+📄 *Научная статья в процессе подготовки (paper coming soon).*
+
+---
+
+**Made with ❤️ by MTS AI Research Team**
+