Yuliang-Liu/Open-Oracle

AI-assisted Deciphering Oracle Bone Script

107

42 commits

updated Sep 27, 2026

See the code

README

Open-Oracle

With the support of big data and AI, oracle bone script research has entered a new era. This repository curates open datasets, benchmarks, codebases, and papers for AI-assisted oracle bone inscription recognition, retrieval, rejoining, decipherment, and interpretation.

Please give us a star ⭐ for the latest updates.

Last maintained: 2026-09-27
Comprehensive paper index


Contents

Recent Oracle Bone Projects and Papers

This section lists representative recent oracle bone inscription work from all groups, including our own projects, ordered by year. See PAPERS.md for the more detailed task-oriented paper index.

YearProject or PaperVenue and StatusCategoryLinks
2026AlphaOracleThe InnovationDecipherment and interpretationPaper, arXiv, Code
2026FROD: Feature Matching Residual Denoising Oracle Bone DecipherarXiv 2026; author reports ICONIP 2026 acceptance (official record pending)DeciphermentarXiv
2026ROOTS: Recognizing Oracle Bone Inscriptions via an Organized Tree Structurenpj Heritage Science 2026RecognitionPaper, Preprint
2026Can Neural Networks Learn Visual Correspondence Between Pictographic Oracle Bone Scripts and Object Images?Expert Systems with Applications (online 2026; issue 2027)Visual correspondence and pictographic recognitionPaper
2026Dual-branch segmentation of oracle bone drill chisel and its impact on group classificationnpj Heritage Science 2026Detection and segmentationPaper
2026Denoising of oracle bone rubbing images via a residual network based on base-residual decompositionnpj Heritage Science 2026RestorationPaper
2026Construction of multimodal oracle bone semantic reasoning and knowledge graphs in archaeology under artificial intelligence technologyScientific Reports 2026Multimodal reasoning and knowledge graphPaper
2026Stroke and structure priors improve few-shot recognition of oracle bone inscriptionsnpj Heritage Science 2026RecognitionPaper
2026Decipherment of Oracle Bone Inscription via Component Deconstruction and AlignmentICDAR 2026DeciphermentPaper
2026Evolution-Guided Diffusion for Oracle Bone Script DeciphermentICDAR 2026DeciphermentPaper
2026AWM: Augmentation, Weighting, and Mixture-of-Experts for Robust Oracle Bone Character Recognition under Long-Tailed DistributionsData Intelligence 2026RecognitionPaper
2026HCT-Net: A Hybrid CNN-Transformer Network for Robust Oracle Bone Script RecognitionPattern Recognition 2026RecognitionPaper
2026A Review of Artificial Intelligence Techniques in Oracle Bone InscriptionsJOCCH 2026SurveyPaper
2026Structure–semantic dual-alignment benchmarking of LLM capability on ancient OBInpj Heritage Science 2026Benchmark and LLM evaluationPaper
2026FaSDiNetApplied Sciences 2026Fragment rejoiningPaper
2026Evidence-Grounded Oracle Bone Script UnderstandingLNCS 2026OBB benchmark and OBS-PRTF frameworkPaper
2026SGD-DetMultimedia Systems 2026Degraded-rubbing detectionPaper
2026MSR-Netnpj Heritage Science 2026Rubbing denoising and restorationPaper
2026Ancient OBI detection and translation based on depthwise-conv dual-cascade attention YOLOv12Array 2026Detection and translationPaper
2026Oracle Bone Inscriptions Information Processing: A Comprehensive Surveynpj Heritage Science 2026Survey and resourcesPaper, Repo
2026OBIMD: A Multi-modal Dataset for Contextual Interpretation of Oracle Bone InscriptionsScientific Data 2026Multimodal datasetPaper, arXiv, Code, HF
2026PictOBI-20kICASSP 2026Visual decipherment benchmarkIEEE, arXiv, Code
2026Chronicles-OCRarXiv 2026Cross-temporal OCR benchmarkarXiv, Code, HF
2026Beyond Single Character: Evaluating MLLMs for Sentence-Level Oracle Bone Inscription UnderstandingarXiv 2026Sentence-level OBI benchmarkarXiv
2026Enhancing Oracle Bone Inscription Recognition via Multi-Scale Layer AttentionInformation Sciences (online 2026; issue 2027)RecognitionPaper, arXiv
2026OracleAnalyserarXiv 2026MLLM-based oracle-bone analysisarXiv
2026Oracle bone inscription detection model with frequency-domain attention fusion and multi-scale optimizationnpj Heritage Science 2026DetectionPaper
2026Explainable Oracle Bone Script Recognition via Multimodal Pictographic ReasoningAAAI 2026Explainable recognitionPaper
2026OracleDetnpj Heritage Science 2026Complex-scene OBI detectionPaper, Code
2026OBI Designernpj Heritage Science 2026Artistic OBI character generationPaper
2026Specializing Large Models for OBS Interpretation via Component-Grounded Multimodal Knowledge AugmentationACL 2026 Long PaperKnowledge-augmented interpretationPaper, arXiv
2026Decoding Ancient Oracle Bone Script via Generative Dictionary RetrievalarXiv 2026Dictionary retrievalarXiv
2025OracleFusionICCV 2025Structurally constrained semantic typographyPaper, arXiv, Code
2025V-OracleACL 2025Progressive VQA-style reasoningPaper
2025OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones?ICLR 2025 SpotlightLMM benchmarkOpenReview, arXiv, Code
2025OracleAgentarXiv 2025Multimodal research agentPaper, Code
2025Interpretable OBS Decipherment with LVLMs, PD-OBSarXiv 2025Interpretable deciphermentPaper, Code
2025Oracle-P15KACM MM 2025Long-tail recognition dataset and benchmarkPaper, Code
2025OBIFormerDisplays 2025Denoising and restorationPaper, Code
2025A Graph-based Evolutionary Dataset for Oracle Bone Charactersnpj Heritage Science 2025Character evolution graphPaper, Code
2025An Open Benchmark for Oracle Bone Rubbing Image Retrievalnpj Heritage Science 2025Rubbing-image retrievalPaper
2025Deep Rejoining Model and Dataset of Oracle Bone Fragment Imagesnpj Heritage Science 2025Fragment rejoiningPaper
2025A Text-Image Dual Conditional Stable Diffusion Model for OBI Deciphermentnpj Heritage Science 2025Dual conditional diffusionPaper
2025A Cross-Font Image Retrieval Network for Recognizing Undeciphered OBIICIC 2025, arXiv 2024Cross-font retrievalarXiv
2025Component-Level Segmentation for OBI DeciphermentAAAI 2025Component segmentationPaper, Code
2024OBSD: Deciphering Oracle Bone Language with Diffusion ModelsACL 2024 Best PaperDiffusion-based deciphermentPaper, arXiv, Code
2024Puzzle Pieces Picker (P3)ICDAR 2024 OralRadical and stroke reconstructionPaper, Code
2024HUST-OBCScientific Data 2024Recognition and decipherment datasetPaper, arXiv, Code, Data
2024EVOBCarXiv 2024Multi-period character evolution datasetPaper, Code, Data
2024OracleSagearXiv 2024Visual-linguistic understandingPaper

Datasets and Benchmarks

Dataset or BenchmarkTaskScale and NotesLinks
HUST-OBCRecognition + decipherment140,053 images; deciphered and undeciphered character categoriesPaper, Code, Data
EVOBCCharacter evolutionMulti-period evolution data across OBC, BI, SS, SAC, WSC, CSPaper, Code, Data
OBIMDContextual interpretation10,077 OBI images; 93,652 annotated characters; sentence-level readingsPaper, Code, HF
OBI-BenchLMM benchmarkFive OBI processing tasks; 5,523 imagesOpenReview, Code
PictOBI-20kVisual decipherment20k OBC-object image pairs; 15k+ multi-choice questionsIEEE, arXiv, Code
Chronicles-OCRCross-temporal OCR2,800 balanced images across the Seven Chinese Scripts, including oracle bone scriptarXiv, Code, HF
S-OBISentence-level OBI understanding95 standardized sentence-level OBI instances and 695 QA pairs for semantic matching, slot extraction, and contextual reasoningarXiv
Structure–semantic Dual-Alignment BenchmarkLLM evaluationStructure and semantic alignment benchmarking for ancient OBI understandingPaper
OBB BenchmarkEvidence-grounded OBS understandingBenchmark and OBS-PRTF framework for evidence-grounded oracle bone script understandingPaper
Parametric OBS SVG ResourceParametric representationDataset, adaptive arc segmentation, and SVG resources for oracle bone scriptPaper, Preprint
Long-tail OBI Detection and Recognition DiagnosticsDetection + recognition evaluationDiagnostic benchmark and metric analysis for long-tailed oracle bone character detection and recognitionPreprint
Oracle-MNISTBenchmark classification30,222 grayscale oracle-character images in 10 categoriesPaper, Code
Oracle-P15KLong-tail recognitionLong-tail OBI benchmark with synthesis-based augmentationPaper, Code
PD-OBSInterpretable deciphermentRadical and pictographic annotations for LVLM trainingPaper, Code
GEVOBC and GBEDOBCEvolution graph datasetGraph-based evolutionary oracle bone character datasetPaper, Code
OBI Rubbing Retrieval BenchmarkRubbing retrievalHomologous rubbing retrieval benchmarkPaper
OBFI and OBID-ACRFragment rejoining and bone associationFragment-image and bone-level association benchmarksOBFI, OBID-ACR
OBC306, HWOBC, YinQiWenYuanRecognition and detectionPublic resources from Yin Qi Wen YuanWebsite

Paper Index

This README highlights representative works. For a broader task-oriented bibliography, see:

  • 📚 PAPERS.md: surveys, knowledge resources, datasets, decipherment, multimodal reasoning, recognition, detection, segmentation, retrieval, rejoining, restoration, generation, and broader ancient-script processing.
  • 🔎 Recommended companion survey repo: OBI-Survey.

Online Resources

OBI Websites and Databases

ResourceLink
殷契文渊 (Yin Qi Wen Yuan)Website
小学堂 (Xiao Xue Tang)Website
国学大师 (Guo Xue Da Shi)Website
缀玉联珠 (Zhui Yu Lian Zhu)Website
Yin Xu OBI DatabaseDatabase
OBI AI Collaborative PlatformWebsite
Multi-function Chinese Character DatabaseDatabase
Chinese EtymologyWebsite
Omniglot: Oracle Bone ScriptWebsite

Museum Collections

MuseumLink
故宫博物院Collection
河南博物院Collection
辽宁省博物馆Collection
山东博物馆Collection
陕西历史博物馆Collection
上海博物馆Collection
殷墟博物馆Collection
浙江省博物馆Collection
中国国家博物馆Collection
重庆中国三峡博物馆Collection

Our Projects

📘 [The Innovation] AlphaOracle: Oracle Bone Script Decipherment via Human-Workflow-Inspired Deep Learning

Yuliang Liu, Haisu Guan, Pengjie Wang, Xinyu Wang, Jinpeng Wan, Kaile Zhang, Handong Zheng, Xingchen Liu, Zhebin Kuang, Huanxin Yang, Bang Li, Yongge Liu, Lianwen Jin, Xiang Bai.

Paper | arXiv | GitHub Code

AlphaOracle is published in The Innovation. AlphaOracle integrates computer vision, computational linguistics, and philological validation into a human-workflow-inspired framework for oracle bone script analysis and decipherment.

@article{liu2026alphaoracle,
  title   = {AlphaOracle: Oracle Bone Script Decipherment via Human-Workflow-Inspired Deep Learning},
  author  = {Liu, Yuliang and Guan, Haisu and Wang, Pengjie and Wang, Xinyu and Wan, Jinpeng and Zhang, Kaile and Zheng, Handong and Liu, Xingchen and Kuang, Zhebin and Yang, Huanxin and Li, Bang and Liu, Yongge and Jin, Lianwen and Bai, Xiang},
  journal = {The Innovation},
  year    = {2026},
  url     = {https://www.sciencedirect.com/science/article/pii/S2666675826002092}
}

📘 [ACL 2024 Best Paper] Deciphering Oracle Bone Language with Diffusion Models

Haisu Guan, Huanxin Yang, Xinyu Wang, Shengwei Han, Yongge Liu, Lianwen Jin, Xiang Bai, Yuliang Liu.

Paper | arXiv | GitHub Code

This paper introduces Oracle Bone Script Decipher (OBSD), a conditional diffusion-based strategy that generates modern-character clues for oracle bone script decipherment.

@inproceedings{guan2024deciphering,
  title     = {Deciphering Oracle Bone Language with Diffusion Models},
  author    = {Guan, Haisu and Yang, Huanxin and Wang, Xinyu and Han, Shengwei and Liu, Yongge and Jin, Lianwen and Bai, Xiang and Liu, Yuliang},
  booktitle = {Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages     = {15554--15567},
  year      = {2024},
  doi       = {10.18653/v1/2024.acl-long.831}
}

📘 [ICDAR 2024 Oral] Puzzle Pieces Picker: Deciphering Ancient Chinese Characters with Radical Reconstruction

Pengjie Wang, Kaile Zhang, Xinyu Wang, Shengwei Han, Yongge Liu, Lianwen Jin, Xiang Bai, Yuliang Liu.

Paper | GitHub Code

Puzzle Pieces Picker (P3) deconstructs oracle bone inscriptions into strokes and radicals and reconstructs them into modern counterparts with a Transformer-based model.

@inproceedings{wang2024puzzle,
  title     = {Puzzle Pieces Picker: Deciphering Ancient Chinese Characters with Radical Reconstruction},
  author    = {Wang, Pengjie and Zhang, Kaile and Wang, Xinyu and Han, Shengwei and Liu, Yongge and Jin, Lianwen and Bai, Xiang and Liu, Yuliang},
  booktitle = {Document Analysis and Recognition -- ICDAR 2024},
  year      = {2024},
  publisher = {Springer},
  doi       = {10.1007/978-3-031-70533-5_11}
}

📘 [SCIENTIA SINICA Informationis 2026] A Multi-task Multimodal Reasoning Framework for Oracle Bone Character Interpretation

Jinpeng Wan, Yuliang Liu, Xiang Bai.

Paper | GitHub Code | Data

This paper introduces ORACLE-PRIME, a multi-task multimodal reasoning framework for oracle bone character interpretation. It integrates glyph perception, structural periodization, and evolutionary reasoning to generate philologically grounded reasoning chains.

@article{wan2026oracleprime,
  title   = {A multi-task multimodal reasoning framework for Oracle Bone character interpretation},
  author  = {Wan, Jinpeng and Liu, Yuliang and Bai, Xiang},
  journal = {SCIENTIA SINICA Informationis},
  year    = {2026},
  pages   = {-},
  url     = {http://www.sciengine.com/publisher/Science China Press/journal/SCIENTIA SINICA Informationis///10.1360/SSI-2025-0551},
  doi     = {10.1360/SSI-2025-0551}
}

📘 [arXiv 2024] An Open Dataset for the Evolution of Oracle Bone Characters: EVOBC

Haisu Guan, Jinpeng Wan, Yuliang Liu, Pengjie Wang, Kaile Zhang, Zhebin Kuang, Xinyu Wang, Xiang Bai, Lianwen Jin.

Paper | GitHub Code | Data

EVOBC collects character images across six historical stages: Oracle Bone Characters, Bronze Inscriptions, Seal Script, Spring and Autumn period characters, Warring States period characters, and Clerical Script.

@article{guan2024open,
  title   = {An Open Dataset for the Evolution of Oracle Bone Characters: EVOBC},
  author  = {Guan, Haisu and Wan, Jinpeng and Liu, Yuliang and Wang, Pengjie and Zhang, Kaile and Kuang, Zhebin and Wang, Xinyu and Bai, Xiang and Jin, Lianwen},
  journal = {arXiv preprint arXiv:2401.12467},
  year    = {2024}
}

📘 [Scientific Data 2024] An Open Dataset for Oracle Bone Character Recognition and Decipherment

Pengjie Wang, Kaile Zhang, Xinyu Wang, Shengwei Han, Yongge Liu, Jinpeng Wan, Haisu Guan, Zhebin Kuang, Lianwen Jin, Xiang Bai, Yuliang Liu.

Paper | arXiv | GitHub Code | Data | hyper.ai

HUST-OBC is a large-scale open dataset for oracle bone character recognition and decipherment, containing deciphered and undeciphered OBC images.

@article{wang2024open,
  title   = {An Open Dataset for Oracle Bone Character Recognition and Decipherment},
  author  = {Wang, Pengjie and Zhang, Kaile and Wang, Xinyu and Han, Shengwei and Liu, Yongge and Wan, Jinpeng and Guan, Haisu and Kuang, Zhebin and Jin, Lianwen and Bai, Xiang and Liu, Yuliang},
  journal = {Scientific Data},
  volume  = {11},
  number  = {1},
  year    = {2024},
  doi     = {10.1038/s41597-024-03807-x}
}

Contributing

Maintainers: see the weekly maintenance workflow (中文) for literature updates and tracking acceptance/publication of older arXiv papers.

We welcome pull requests and issues. For new papers and resources, please include:

  1. Title, authors, venue and year, and task category.
  2. Official paper link, DOI, arXiv, or OpenReview page when available.
  3. Code, data, or demo links if public.
  4. A one-line summary of the contribution.

We welcome suggestions to help improve Open-Oracle. For any query, please contact Prof. Yuliang Liu: ylliu@hust.edu.cn. If you find something interesting, feel free to share it by email or open an issue. Thanks!

Yuliang-Liu/Open-Oracle

AI-assisted Deciphering Oracle Bone Script

107

42 commits

updated Sep 27, 2026

See the code

README

Open-Oracle

With the support of big data and AI, oracle bone script research has entered a new era. This repository curates open datasets, benchmarks, codebases, and papers for AI-assisted oracle bone inscription recognition, retrieval, rejoining, decipherment, and interpretation.

Please give us a star ⭐ for the latest updates.

Last maintained: 2026-09-27
Comprehensive paper index


Contents

Recent Oracle Bone Projects and Papers

This section lists representative recent oracle bone inscription work from all groups, including our own projects, ordered by year. See PAPERS.md for the more detailed task-oriented paper index.

YearProject or PaperVenue and StatusCategoryLinks
2026AlphaOracleThe InnovationDecipherment and interpretationPaper, arXiv, Code
2026FROD: Feature Matching Residual Denoising Oracle Bone DecipherarXiv 2026; author reports ICONIP 2026 acceptance (official record pending)DeciphermentarXiv
2026ROOTS: Recognizing Oracle Bone Inscriptions via an Organized Tree Structurenpj Heritage Science 2026RecognitionPaper, Preprint
2026Can Neural Networks Learn Visual Correspondence Between Pictographic Oracle Bone Scripts and Object Images?Expert Systems with Applications (online 2026; issue 2027)Visual correspondence and pictographic recognitionPaper
2026Dual-branch segmentation of oracle bone drill chisel and its impact on group classificationnpj Heritage Science 2026Detection and segmentationPaper
2026Denoising of oracle bone rubbing images via a residual network based on base-residual decompositionnpj Heritage Science 2026RestorationPaper
2026Construction of multimodal oracle bone semantic reasoning and knowledge graphs in archaeology under artificial intelligence technologyScientific Reports 2026Multimodal reasoning and knowledge graphPaper
2026Stroke and structure priors improve few-shot recognition of oracle bone inscriptionsnpj Heritage Science 2026RecognitionPaper
2026Decipherment of Oracle Bone Inscription via Component Deconstruction and AlignmentICDAR 2026DeciphermentPaper
2026Evolution-Guided Diffusion for Oracle Bone Script DeciphermentICDAR 2026DeciphermentPaper
2026AWM: Augmentation, Weighting, and Mixture-of-Experts for Robust Oracle Bone Character Recognition under Long-Tailed DistributionsData Intelligence 2026RecognitionPaper
2026HCT-Net: A Hybrid CNN-Transformer Network for Robust Oracle Bone Script RecognitionPattern Recognition 2026RecognitionPaper
2026A Review of Artificial Intelligence Techniques in Oracle Bone InscriptionsJOCCH 2026SurveyPaper
2026Structure–semantic dual-alignment benchmarking of LLM capability on ancient OBInpj Heritage Science 2026Benchmark and LLM evaluationPaper
2026FaSDiNetApplied Sciences 2026Fragment rejoiningPaper
2026Evidence-Grounded Oracle Bone Script UnderstandingLNCS 2026OBB benchmark and OBS-PRTF frameworkPaper
2026SGD-DetMultimedia Systems 2026Degraded-rubbing detectionPaper
2026MSR-Netnpj Heritage Science 2026Rubbing denoising and restorationPaper
2026Ancient OBI detection and translation based on depthwise-conv dual-cascade attention YOLOv12Array 2026Detection and translationPaper
2026Oracle Bone Inscriptions Information Processing: A Comprehensive Surveynpj Heritage Science 2026Survey and resourcesPaper, Repo
2026OBIMD: A Multi-modal Dataset for Contextual Interpretation of Oracle Bone InscriptionsScientific Data 2026Multimodal datasetPaper, arXiv, Code, HF
2026PictOBI-20kICASSP 2026Visual decipherment benchmarkIEEE, arXiv, Code
2026Chronicles-OCRarXiv 2026Cross-temporal OCR benchmarkarXiv, Code, HF
2026Beyond Single Character: Evaluating MLLMs for Sentence-Level Oracle Bone Inscription UnderstandingarXiv 2026Sentence-level OBI benchmarkarXiv
2026Enhancing Oracle Bone Inscription Recognition via Multi-Scale Layer AttentionInformation Sciences (online 2026; issue 2027)RecognitionPaper, arXiv
2026OracleAnalyserarXiv 2026MLLM-based oracle-bone analysisarXiv
2026Oracle bone inscription detection model with frequency-domain attention fusion and multi-scale optimizationnpj Heritage Science 2026DetectionPaper
2026Explainable Oracle Bone Script Recognition via Multimodal Pictographic ReasoningAAAI 2026Explainable recognitionPaper
2026OracleDetnpj Heritage Science 2026Complex-scene OBI detectionPaper, Code
2026OBI Designernpj Heritage Science 2026Artistic OBI character generationPaper
2026Specializing Large Models for OBS Interpretation via Component-Grounded Multimodal Knowledge AugmentationACL 2026 Long PaperKnowledge-augmented interpretationPaper, arXiv
2026Decoding Ancient Oracle Bone Script via Generative Dictionary RetrievalarXiv 2026Dictionary retrievalarXiv
2025OracleFusionICCV 2025Structurally constrained semantic typographyPaper, arXiv, Code
2025V-OracleACL 2025Progressive VQA-style reasoningPaper
2025OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones?ICLR 2025 SpotlightLMM benchmarkOpenReview, arXiv, Code
2025OracleAgentarXiv 2025Multimodal research agentPaper, Code
2025Interpretable OBS Decipherment with LVLMs, PD-OBSarXiv 2025Interpretable deciphermentPaper, Code
2025Oracle-P15KACM MM 2025Long-tail recognition dataset and benchmarkPaper, Code
2025OBIFormerDisplays 2025Denoising and restorationPaper, Code
2025A Graph-based Evolutionary Dataset for Oracle Bone Charactersnpj Heritage Science 2025Character evolution graphPaper, Code
2025An Open Benchmark for Oracle Bone Rubbing Image Retrievalnpj Heritage Science 2025Rubbing-image retrievalPaper
2025Deep Rejoining Model and Dataset of Oracle Bone Fragment Imagesnpj Heritage Science 2025Fragment rejoiningPaper
2025A Text-Image Dual Conditional Stable Diffusion Model for OBI Deciphermentnpj Heritage Science 2025Dual conditional diffusionPaper
2025A Cross-Font Image Retrieval Network for Recognizing Undeciphered OBIICIC 2025, arXiv 2024Cross-font retrievalarXiv
2025Component-Level Segmentation for OBI DeciphermentAAAI 2025Component segmentationPaper, Code
2024OBSD: Deciphering Oracle Bone Language with Diffusion ModelsACL 2024 Best PaperDiffusion-based deciphermentPaper, arXiv, Code
2024Puzzle Pieces Picker (P3)ICDAR 2024 OralRadical and stroke reconstructionPaper, Code
2024HUST-OBCScientific Data 2024Recognition and decipherment datasetPaper, arXiv, Code, Data
2024EVOBCarXiv 2024Multi-period character evolution datasetPaper, Code, Data
2024OracleSagearXiv 2024Visual-linguistic understandingPaper

Datasets and Benchmarks

Dataset or BenchmarkTaskScale and NotesLinks
HUST-OBCRecognition + decipherment140,053 images; deciphered and undeciphered character categoriesPaper, Code, Data
EVOBCCharacter evolutionMulti-period evolution data across OBC, BI, SS, SAC, WSC, CSPaper, Code, Data
OBIMDContextual interpretation10,077 OBI images; 93,652 annotated characters; sentence-level readingsPaper, Code, HF
OBI-BenchLMM benchmarkFive OBI processing tasks; 5,523 imagesOpenReview, Code
PictOBI-20kVisual decipherment20k OBC-object image pairs; 15k+ multi-choice questionsIEEE, arXiv, Code
Chronicles-OCRCross-temporal OCR2,800 balanced images across the Seven Chinese Scripts, including oracle bone scriptarXiv, Code, HF
S-OBISentence-level OBI understanding95 standardized sentence-level OBI instances and 695 QA pairs for semantic matching, slot extraction, and contextual reasoningarXiv
Structure–semantic Dual-Alignment BenchmarkLLM evaluationStructure and semantic alignment benchmarking for ancient OBI understandingPaper
OBB BenchmarkEvidence-grounded OBS understandingBenchmark and OBS-PRTF framework for evidence-grounded oracle bone script understandingPaper
Parametric OBS SVG ResourceParametric representationDataset, adaptive arc segmentation, and SVG resources for oracle bone scriptPaper, Preprint
Long-tail OBI Detection and Recognition DiagnosticsDetection + recognition evaluationDiagnostic benchmark and metric analysis for long-tailed oracle bone character detection and recognitionPreprint
Oracle-MNISTBenchmark classification30,222 grayscale oracle-character images in 10 categoriesPaper, Code
Oracle-P15KLong-tail recognitionLong-tail OBI benchmark with synthesis-based augmentationPaper, Code
PD-OBSInterpretable deciphermentRadical and pictographic annotations for LVLM trainingPaper, Code
GEVOBC and GBEDOBCEvolution graph datasetGraph-based evolutionary oracle bone character datasetPaper, Code
OBI Rubbing Retrieval BenchmarkRubbing retrievalHomologous rubbing retrieval benchmarkPaper
OBFI and OBID-ACRFragment rejoining and bone associationFragment-image and bone-level association benchmarksOBFI, OBID-ACR
OBC306, HWOBC, YinQiWenYuanRecognition and detectionPublic resources from Yin Qi Wen YuanWebsite

Paper Index

This README highlights representative works. For a broader task-oriented bibliography, see:

  • 📚 PAPERS.md: surveys, knowledge resources, datasets, decipherment, multimodal reasoning, recognition, detection, segmentation, retrieval, rejoining, restoration, generation, and broader ancient-script processing.
  • 🔎 Recommended companion survey repo: OBI-Survey.

Online Resources

OBI Websites and Databases

ResourceLink
殷契文渊 (Yin Qi Wen Yuan)Website
小学堂 (Xiao Xue Tang)Website
国学大师 (Guo Xue Da Shi)Website
缀玉联珠 (Zhui Yu Lian Zhu)Website
Yin Xu OBI DatabaseDatabase
OBI AI Collaborative PlatformWebsite
Multi-function Chinese Character DatabaseDatabase
Chinese EtymologyWebsite
Omniglot: Oracle Bone ScriptWebsite

Museum Collections

MuseumLink
故宫博物院Collection
河南博物院Collection
辽宁省博物馆Collection
山东博物馆Collection
陕西历史博物馆Collection
上海博物馆Collection
殷墟博物馆Collection
浙江省博物馆Collection
中国国家博物馆Collection
重庆中国三峡博物馆Collection

Our Projects

📘 [The Innovation] AlphaOracle: Oracle Bone Script Decipherment via Human-Workflow-Inspired Deep Learning

Yuliang Liu, Haisu Guan, Pengjie Wang, Xinyu Wang, Jinpeng Wan, Kaile Zhang, Handong Zheng, Xingchen Liu, Zhebin Kuang, Huanxin Yang, Bang Li, Yongge Liu, Lianwen Jin, Xiang Bai.

Paper | arXiv | GitHub Code

AlphaOracle is published in The Innovation. AlphaOracle integrates computer vision, computational linguistics, and philological validation into a human-workflow-inspired framework for oracle bone script analysis and decipherment.

@article{liu2026alphaoracle,
  title   = {AlphaOracle: Oracle Bone Script Decipherment via Human-Workflow-Inspired Deep Learning},
  author  = {Liu, Yuliang and Guan, Haisu and Wang, Pengjie and Wang, Xinyu and Wan, Jinpeng and Zhang, Kaile and Zheng, Handong and Liu, Xingchen and Kuang, Zhebin and Yang, Huanxin and Li, Bang and Liu, Yongge and Jin, Lianwen and Bai, Xiang},
  journal = {The Innovation},
  year    = {2026},
  url     = {https://www.sciencedirect.com/science/article/pii/S2666675826002092}
}

📘 [ACL 2024 Best Paper] Deciphering Oracle Bone Language with Diffusion Models

Haisu Guan, Huanxin Yang, Xinyu Wang, Shengwei Han, Yongge Liu, Lianwen Jin, Xiang Bai, Yuliang Liu.

Paper | arXiv | GitHub Code

This paper introduces Oracle Bone Script Decipher (OBSD), a conditional diffusion-based strategy that generates modern-character clues for oracle bone script decipherment.

@inproceedings{guan2024deciphering,
  title     = {Deciphering Oracle Bone Language with Diffusion Models},
  author    = {Guan, Haisu and Yang, Huanxin and Wang, Xinyu and Han, Shengwei and Liu, Yongge and Jin, Lianwen and Bai, Xiang and Liu, Yuliang},
  booktitle = {Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages     = {15554--15567},
  year      = {2024},
  doi       = {10.18653/v1/2024.acl-long.831}
}

📘 [ICDAR 2024 Oral] Puzzle Pieces Picker: Deciphering Ancient Chinese Characters with Radical Reconstruction

Pengjie Wang, Kaile Zhang, Xinyu Wang, Shengwei Han, Yongge Liu, Lianwen Jin, Xiang Bai, Yuliang Liu.

Paper | GitHub Code

Puzzle Pieces Picker (P3) deconstructs oracle bone inscriptions into strokes and radicals and reconstructs them into modern counterparts with a Transformer-based model.

@inproceedings{wang2024puzzle,
  title     = {Puzzle Pieces Picker: Deciphering Ancient Chinese Characters with Radical Reconstruction},
  author    = {Wang, Pengjie and Zhang, Kaile and Wang, Xinyu and Han, Shengwei and Liu, Yongge and Jin, Lianwen and Bai, Xiang and Liu, Yuliang},
  booktitle = {Document Analysis and Recognition -- ICDAR 2024},
  year      = {2024},
  publisher = {Springer},
  doi       = {10.1007/978-3-031-70533-5_11}
}

📘 [SCIENTIA SINICA Informationis 2026] A Multi-task Multimodal Reasoning Framework for Oracle Bone Character Interpretation

Jinpeng Wan, Yuliang Liu, Xiang Bai.

Paper | GitHub Code | Data

This paper introduces ORACLE-PRIME, a multi-task multimodal reasoning framework for oracle bone character interpretation. It integrates glyph perception, structural periodization, and evolutionary reasoning to generate philologically grounded reasoning chains.

@article{wan2026oracleprime,
  title   = {A multi-task multimodal reasoning framework for Oracle Bone character interpretation},
  author  = {Wan, Jinpeng and Liu, Yuliang and Bai, Xiang},
  journal = {SCIENTIA SINICA Informationis},
  year    = {2026},
  pages   = {-},
  url     = {http://www.sciengine.com/publisher/Science China Press/journal/SCIENTIA SINICA Informationis///10.1360/SSI-2025-0551},
  doi     = {10.1360/SSI-2025-0551}
}

📘 [arXiv 2024] An Open Dataset for the Evolution of Oracle Bone Characters: EVOBC

Haisu Guan, Jinpeng Wan, Yuliang Liu, Pengjie Wang, Kaile Zhang, Zhebin Kuang, Xinyu Wang, Xiang Bai, Lianwen Jin.

Paper | GitHub Code | Data

EVOBC collects character images across six historical stages: Oracle Bone Characters, Bronze Inscriptions, Seal Script, Spring and Autumn period characters, Warring States period characters, and Clerical Script.

@article{guan2024open,
  title   = {An Open Dataset for the Evolution of Oracle Bone Characters: EVOBC},
  author  = {Guan, Haisu and Wan, Jinpeng and Liu, Yuliang and Wang, Pengjie and Zhang, Kaile and Kuang, Zhebin and Wang, Xinyu and Bai, Xiang and Jin, Lianwen},
  journal = {arXiv preprint arXiv:2401.12467},
  year    = {2024}
}

📘 [Scientific Data 2024] An Open Dataset for Oracle Bone Character Recognition and Decipherment

Pengjie Wang, Kaile Zhang, Xinyu Wang, Shengwei Han, Yongge Liu, Jinpeng Wan, Haisu Guan, Zhebin Kuang, Lianwen Jin, Xiang Bai, Yuliang Liu.

Paper | arXiv | GitHub Code | Data | hyper.ai

HUST-OBC is a large-scale open dataset for oracle bone character recognition and decipherment, containing deciphered and undeciphered OBC images.

@article{wang2024open,
  title   = {An Open Dataset for Oracle Bone Character Recognition and Decipherment},
  author  = {Wang, Pengjie and Zhang, Kaile and Wang, Xinyu and Han, Shengwei and Liu, Yongge and Wan, Jinpeng and Guan, Haisu and Kuang, Zhebin and Jin, Lianwen and Bai, Xiang and Liu, Yuliang},
  journal = {Scientific Data},
  volume  = {11},
  number  = {1},
  year    = {2024},
  doi     = {10.1038/s41597-024-03807-x}
}

Contributing

Maintainers: see the weekly maintenance workflow (中文) for literature updates and tracking acceptance/publication of older arXiv papers.

We welcome pull requests and issues. For new papers and resources, please include:

  1. Title, authors, venue and year, and task category.
  2. Official paper link, DOI, arXiv, or OpenReview page when available.
  3. Code, data, or demo links if public.
  4. A one-line summary of the contribution.

We welcome suggestions to help improve Open-Oracle. For any query, please contact Prof. Yuliang Liu: ylliu@hust.edu.cn. If you find something interesting, feel free to share it by email or open an issue. Thanks!