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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.

图片

Hugging Face Mirror

This dataset is also available on Hugging Face Hub:🤗OBIMD Dataset

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

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

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:

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