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license: cc-by-4.0
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# 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.
## 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

## Data Fields
|Field Name|Description|Example|
|-|-|-|
|Facsimile|Path to facsimile image|facsimile/h00002.jpg|
|Rubbing|Path to rubbing image|rubbing/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

## Hierarchical Character Metadata Supplement
This folder contains supporting materials for the character hierarchy used in OBIMD. It includes:
1. Sub-character Images: Images of sub-character variants, stored in a two-level folder structure. The top-level directory is named by the main character UID, and each subfolder is named by the corresponding sub-character UID.
2. Sub-character to Transcription Mapping: Maps each sub-character UID to its modern Chinese transcription.
3. Sub-character to Main-character Mapping: Maps each sub-character UID to its parent main character UID in the Oracular Digital Platform.
## 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)
## License
This model is licensed under CC-BY 4.0.
## Citation
If you use this dataset in your research, please cite: