--- license: cc-by-4.0 --- # 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.

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## 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|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 ![图片](figures/Pipeline%20for%20constructing.png) ## 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: