Update README.md

README.md

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-license: mit
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+---
+license: mit
+---
+# Oracle Bone Inscriptions Multi-modal Dataset (OBIMD)
+
+## Dataset Overview
+
+The Oracle Bone Inscriptions Multi-modal Dataset (OBIMD) is the first large-scale corpus providing pixel-aligned rubbings and facsimiles, character-level annotations, and sentence-level transcriptions and reading sequences for oracle bone inscription (OBI) research. This dataset enables multi-modal learning across visual, structural, and linguistic dimensions, laying the foundation for end-to-end OBI recognition and interpretation.
+<p align="center">
+<img src="figures/overview.png" alt="图片" width="80%" height="80%">
+</p>
+
+### Hugging Face Mirror
+
+This dataset is also available on Hugging Face Hub:<a href="https://huggingface.co/datasets/KLOBIP/OBIMD">🤗OBIMD Dataset</a>
+
+## Dataset Statistics
+
+- Total OBI images: 10,077 across five Shang Dynasty phases
+- Annotated characters: 93,652
+- Missing character positions: 21,667 (due to fragmentation)
+- Sentences: 21,941 syntactically validated
+- Non-sentential elements: 4,192
+
+## Data Structure
+
+The dataset follows a three-level hierarchy:
+
+1. Image-level: Contains rubbing and facsimile pairs
+2. Sentence-level: Groups characters into meaningful units
+3. Character-level: Detailed annotations for each character
+![图片](figures/data%20structure.png)
+
+## Data Fields
+
+|Field Name|Description|Example|
+|-|-|-|
+|Facsimile|Path to facsimile image|moben/h00002.jpg|
+|Rubbing|Path to rubbing image|tapian/h00002.jpg|
+|RubbingName|Short identifier|H2|
+|GroupCategory|Sentence type|InscriptionSentence1|
+|Position|Bounding box (x,y,w,h)|558,581,80,218|
+|OrderNumber|Character order in sentence|5|
+|Label|Main character label|xkubtjk815|
+|SubLabel|Secondary label|xkubtjk815|
+|SeatFont|Placeholder indicator|0|
+|Mark|Special marker|-1|
+
+## Data Modalities
+
+1. Rubbing images: Original scanned images of oracle bones
+2. Facsimile images: Expert reconstructions aligned with rubbings
+3. Character annotations: Bounding boxes and classifications
+4. Sentence groupings: Semantic organization of characters
+5. Reading sequences: Order of characters within sentences
+![图片](figures/Pipeline%20for%20constructing.png)
+
+## Usage Notes
+
+The dataset is designed to support various research tasks:
+
+- Character detection and recognition
+- Sentence-level character clustering
+- Character reordering within sentences
+- Multi-modal analysis (rubbing vs. facsimile)
+
+## Technical Validation
+
+### character-level detection
+
+### sentence-level clustering
+
+### character-level reordering
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+<!-- ```bibtex
+@article{li2024obimd,
+  title={Oracle Bone Inscriptions Multi-modal Dataset},
+  author={Li, Bang and Luo, Donghao and Liang, Yujie and others},
+  journal={arXiv preprint arXiv:2407.03900},
+  year={2024},
+  url={https://doi.org/10.48550/arXiv.2407.03900}
+}
+```
+## License
+The dataset is released for academic research purposes only. Commercial use requires special permission from the authors. -->