Create README.md

README.md

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+---
+license: other
+task_categories:
+- image-retrieval
+- image-text-retrieval
+- computer-vision
+- natural-language-processing
+language:
+- en
+tags:
+- design-patent
+- patent-retrieval
+- patent-examination
+- multimodal-learning
+- vision-language-model
+size_categories:
+- 1K<n<10K
+---
+
+# PatMV: Multi-view Design Patent Retrieval Dataset
+
+## Dataset Description
+
+PatMV is a real-world multi-view design patent retrieval dataset constructed for research on **U.S. design patent novelty examination**.
+
+Unlike conventional design patent retrieval benchmarks that generate positive pairs by splitting views from the same patent, PatMV is constructed from **official USPTO examination records**. Each query patent is paired with a prior design patent cited by professional patent examiners during novelty rejection procedures under **35 U.S.C. §102**.
+
+The dataset aims to provide a realistic evaluation environment for automated design patent retrieval systems, especially for studying:
+
+- multi-view design patent representation learning;
+- cross-patent visual similarity retrieval;
+- vision-language models for patent understanding;
+- AI-assisted design patent examination.
+
+The dataset contains examiner-confirmed similar design pairs and additional distractor patents to simulate realistic large-scale retrieval scenarios.
+
+---
+
+## Dataset Construction
+
+PatMV was constructed from publicly available USPTO design patent examination documents.
+
+The construction process includes:
+
+1. **Mining USPTO examination records**
+
+   Non-final rejection documents from USPTO were collected, and cases related to novelty rejection under 35 U.S.C. §102 were identified.
+
+   Examiner-cited prior design patents were extracted to form query-prior patent pairs.
+
+2. **Patent image collection and processing**
+
+   Official patent drawing images were collected from USPTO records.
+
+   The collected images were processed by removing irrelevant document information and manually verified to ensure data quality.
+
+3. **Distractor construction**
+
+   Additional design patents were introduced as distractors to simulate realistic retrieval scenarios.
+
+4. **Multi-modal annotation**
+
+   To support vision-language research, the dataset provides both image-level and patent-level textual descriptions.
+
+   - Image-level captions are generated for individual patent views.
+   - Patent-level captions summarize multiple views of the same patent.
+
+---
+
+## Dataset Statistics
+
+The current benchmark contains:
+
+| Component | Number |
+|-----------|-------:|
+| Query patents | 166 |
+| Prior design patents (ground truth) | 161 |
+| Distractor patents | 1610 |
+
+Each query patent has one corresponding prior design patent in the gallery.
+
+---
+
+## Dataset Format
+
+After extracting the dataset:
+
+```
+
+PatMV/
+├── images/
+│   ├── {patent_id}*view*{view_idx}.jpg
+│   └── ...
+│
+├── query_metadata.json
+│
+└── gallery_metadata.json
+
+```
+
+### Images
+
+The `images/` directory contains anonymized patent drawing images.
+
+The naming format is:
+
+```
+
+{patent_id}*view*{view_idx}.jpg
+
+````
+
+where:
+
+- `patent_id`: the identifier of the design patent;
+- `view_idx`: the index of the patent view.
+
+Each patent may contain multiple views, such as front, rear, side, top, bottom, or perspective views.
+
+---
+
+## Metadata Files
+
+### query_metadata.json
+
+This file contains metadata for query patents.
+
+Each entry includes information such as:
+
+- patent identifier;
+- associated image views;
+- image-level captions;
+- patent-level caption.
+
+Example:
+
+```json
+{
+    "patent_id": "xxx",
+    "images": [
+        "xxx_view_0.jpg",
+        "xxx_view_1.jpg"
+    ],
+    "image_captions": [
+        "description of view 0",
+        "description of view 1"
+    ],
+    "patent_caption": "overall description of the design"
+}
+````
+
+---
+
+### gallery_metadata.json
+
+This file contains metadata for gallery patents, including:
+
+* ground-truth prior designs;
+* distractor patents;
+* corresponding images;
+* generated textual descriptions.
+
+The gallery is designed for retrieval evaluation, where a query patent should retrieve its corresponding prior design from a collection containing distractors.
+
+---
+
+## Supported Research Tasks
+
+PatMV can be used for the following research tasks:
+
+### 1. Multi-view Design Patent Retrieval
+
+Given a query patent containing multiple views, retrieve the corresponding prior design patent from a gallery.
+
+### 2. Vision-Language Patent Understanding
+
+Study the alignment between patent images and textual descriptions.
+
+### 3. Design Similarity Analysis
+
+Investigate computational methods for measuring visual similarity between different design patents.
+
+### 4. AI-assisted Patent Examination
+
+Develop intelligent systems to assist novelty analysis in U.S. design patent examination.
+
+---
+
+## Intended Use
+
+PatMV is released for academic and research purposes.
+
+Potential applications include:
+
+* design patent retrieval;
+* multimodal patent representation learning;
+* patent image-text understanding;
+* automated novelty search;
+* AI-assisted patent examination systems.
+
+---
+
+## Limitations
+
+PatMV focuses on U.S. design patent novelty examination cases available from public USPTO records.
+
+The dataset is intended for research on computational methods for patent analysis and should not be interpreted as a legal determination of infringement.
+
+Researchers should consider applicable intellectual property regulations and USPTO data usage policies when using this dataset.
+
+---
+
+## Citation
+
+If you use PatMV in your research, please cite:
+
+```
+[Your paper citation]
+```
+
+---
+
+## License
+
+This dataset is released for academic research purposes only.
+
+Users are responsible for ensuring compliance with applicable laws, regulations, and intellectual property requirements.
+
+````
+
+---