{"id":25205620,"url":"https://github.com/alpha-innovator/docgenome_page","last_synced_at":"2025-04-05T02:16:45.952Z","repository":{"id":243037273,"uuid":"811279381","full_name":"Alpha-Innovator/DocGenome_page","owner":"Alpha-Innovator","description":"Project page of DocGenome Dataset","archived":false,"fork":false,"pushed_at":"2024-06-18T10:32:50.000Z","size":36541,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-05T02:16:37.522Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://unimodal4reasoning.github.io/DocGenome_page/","language":"JavaScript","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Alpha-Innovator.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-06-06T09:38:18.000Z","updated_at":"2024-06-18T10:32:53.000Z","dependencies_parsed_at":"2024-06-18T12:06:55.419Z","dependency_job_id":null,"html_url":"https://github.com/Alpha-Innovator/DocGenome_page","commit_stats":null,"previous_names":["unimodal4reasoning/docgenome_page","alpha-innovator/docgenome_page"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alpha-Innovator%2FDocGenome_page","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alpha-Innovator%2FDocGenome_page/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alpha-Innovator%2FDocGenome_page/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alpha-Innovator%2FDocGenome_page/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Alpha-Innovator","download_url":"https://codeload.github.com/Alpha-Innovator/DocGenome_page/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247276185,"owners_count":20912288,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-02-10T10:24:12.119Z","updated_at":"2025-04-05T02:16:45.930Z","avatar_url":"https://github.com/Alpha-Innovator.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DocGenome: An Open Large-scale Scientific Document Benchmark for Training Next-generation Large Models\n\nScientific documents record research findings and valuable human knowledge, comprising a vast corpus of high-quality data. Thus, leveraging multi-modality data extracted from these documents and assessing large models' abilities to handle scientific document-oriented tasks is meaningful. Despite promising advancements, large models still perform poorly on multi-page scientific document extraction and understanding tasks, and their capacity to process within-document data formats such as charts and equations remains under-explored. To address these issues, we present DocGenome, a structured document dataset constructed by annotating 500K scientific documents from 153 disciplines in the arXiv open-access community, using our custom auto-labeling pipeline. DocGenome features four key characteristics: \n\n- 1) Completeness: It is the first dataset to structure data from all modalities including 13 layout attributes along with their LaTeX source codes. \n- 2) Logicality: It provides 6 logical relationships between different entities within each scientific document. \n- 3) Diversity: It covers various document-oriented tasks, including document classification, visual grounding, document layout detection, document transformation, open-ended single-page QA and multi-page QA.  \n- 4) Correctness: It undergoes rigorous quality control checks conducted by a specialized team. \n\nBesides, based on DocGenome, we conduct extensive experiments to demonstrate the advantages of DocGenome and objectively evaluate the performance of current large models on our benchmark.\n\n\u003cdiv align=center\u003e\n\u003cimg src=\"static/images/figure1.png\" height=\"95%\"\u003e\n\u003c/div\u003e\n\n## This is [Official Page](https://unimodal4reasoning.github.io/DocGenome_page/) of DocGenome Benchmark. 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