- h
omnidocbench
- huggingface.co
Updated Dec 11, 2024
Share
Facebook
Twitter
EmailClick to copy linkLink copiedCiteSami (2024). omnidocbench [Dataset]. https://huggingface.co/datasets/samiuc/omnidocbenchDataset updatedDec 11, 2024AuthorsSamiDescriptionOmniDocBench
English | 简体中文 OmniDocBench is an evaluation dataset for diverse document parsing in real-world scenarios, with the following characteristics:
Diverse Document Types: The evaluation set contains 981 PDF pages, covering 9 document types, 4 layout types and 3 language types. It has broad coverage including academic papers, financial reports, newspapers, textbooks, handwritten notes, etc. Rich Annotations: Contains location information for 15 block-level (text paragraphs… See the full description on the dataset page: https://huggingface.co/datasets/samiuc/omnidocbench.
- h
OmniDocBench
- huggingface.co
Updated Dec 11, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteOpenDataLab (2024). OmniDocBench [Dataset]. https://huggingface.co/datasets/opendatalab/OmniDocBenchDataset updatedDec 11, 2024Dataset authored and provided byOpenDataLabDescriptionOmniDocBench
English | 简体中文 OmniDocBench is an evaluation dataset for diverse document parsing in real-world scenarios, with the following characteristics:
Diverse Document Types: The evaluation set contains 1355 PDF pages, covering 9 document types, 4 layout types and 3 language types. It has broad coverage including academic papers, financial reports, newspapers, textbooks, handwritten notes, etc. Rich Annotations: Contains location information for 15 block-level (text paragraphs… See the full description on the dataset page: https://huggingface.co/datasets/opendatalab/OmniDocBench.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
FacebookTwitterEmailOmniDocBench
English | 简体中文 OmniDocBench is an evaluation dataset for diverse document parsing in real-world scenarios, with the following characteristics:
Diverse Document Types: The evaluation set contains 981 PDF pages, covering 9 document types, 4 layout types and 3 language types. It has broad coverage including academic papers, financial reports, newspapers, textbooks, handwritten notes, etc. Rich Annotations: Contains location information for 15 block-level (text paragraphs… See the full description on the dataset page: https://huggingface.co/datasets/samiuc/omnidocbench.