Datasets:
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Update README.md
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README.md
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@@ -4,18 +4,36 @@ annotations_creators:
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license: other
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pretty_name: DocLayNet base
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size_categories:
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tags:
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- COCO
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- document-understanding
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- PDF
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- IBM
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task_categories:
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- object-detection
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- image-segmentation
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task_ids:
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- instance-segmentation
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---
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# Dataset Card for DocLayNet base
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- direct links: [doclaynet_core.zip](https://codait-cos-dax.s3.us.cloud-object-storage.appdomain.cloud/dax-doclaynet/1.0.0/DocLayNet_core.zip) (28 GiB), [doclaynet_extra.zip](https://codait-cos-dax.s3.us.cloud-object-storage.appdomain.cloud/dax-doclaynet/1.0.0/DocLayNet_extra.zip) (7.5 GiB)
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- Hugging Face dataset library: [dataset DocLayNet](https://huggingface.co/datasets/ds4sd/DocLayNet)
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### Processing into a format facilitating its use by HF notebooks
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These 2 options require the downloading of all the data (approximately 30GBi), which requires downloading time (about 45 mn in Google Colab) and a large space on the hard disk. These could limit experimentation for people with low resources.
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### Contributions
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Thanks to [@dolfim-ibm](https://github.com/dolfim-ibm), [@cau-git](https://github.com/cau-git) for adding this dataset.
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license: other
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pretty_name: DocLayNet base
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size_categories:
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- 1K<n<10K
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tags:
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- DocLayNet
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- COCO
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- PDF
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- IBM
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- Financial-Reports
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- Finance
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- Manuals
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- Scientific-Articles
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- Science
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- Laws
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- Law
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- Regulations
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- Patents
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- Government-Tenders
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- object-detection
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- image-segmentation
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- token-classification
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task_categories:
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- object-detection
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- image-segmentation
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- token-classification
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task_ids:
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- instance-segmentation
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language:
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- en
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- de
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- fr
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- ja
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---
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# Dataset Card for DocLayNet base
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- direct links: [doclaynet_core.zip](https://codait-cos-dax.s3.us.cloud-object-storage.appdomain.cloud/dax-doclaynet/1.0.0/DocLayNet_core.zip) (28 GiB), [doclaynet_extra.zip](https://codait-cos-dax.s3.us.cloud-object-storage.appdomain.cloud/dax-doclaynet/1.0.0/DocLayNet_extra.zip) (7.5 GiB)
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- Hugging Face dataset library: [dataset DocLayNet](https://huggingface.co/datasets/ds4sd/DocLayNet)
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Paper: DocLayNet: [A Large Human-Annotated Dataset for Document-Layout Analysis](https://arxiv.org/abs/2206.01062) (06/02/2022)
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### Processing into a format facilitating its use by HF notebooks
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These 2 options require the downloading of all the data (approximately 30GBi), which requires downloading time (about 45 mn in Google Colab) and a large space on the hard disk. These could limit experimentation for people with low resources.
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### Contributions
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Thanks to [@dolfim-ibm](https://github.com/dolfim-ibm), [@cau-git](https://github.com/cau-git) for adding this dataset.
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