Datasets:

pierreguillou
/

DocLayNet-large

Tasks:

Object Detection

Image Segmentation

Token Classification

Sub-tasks:

instance-segmentation

Languages:

Size Categories:

Annotations Creators:

ArXiv:

Tags:

Financial-Reports

License:

Dataset card Files Files and versions Community

pierreguillou commited on Jan 28, 2023

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@@ -92,7 +92,7 @@ Citation of the page 3 of the [DocLayNet paper](https://arxiv.org/abs/2206.01062
 The size of the DocLayNet large is about 100% of the DocLayNet dataset.
-**WARNING** The following code allows to download DocLayNet large but it can not run until the end in Google Colab because of the size needed to store cache data and the CPU RAM to download the data (for example, the cache data in /home/ubuntu/.cache/huggingface/datasets/ needs almost 120 GB  during the downloading process). And even with a suitable instance, the download time of the DocLayNet large dataset is around 1h50.
 ```
 # !pip install -q datasets

 The size of the DocLayNet large is about 100% of the DocLayNet dataset.
+**WARNING** The following code allows to download DocLayNet large but it can not run until the end in Google Colab because of the size needed to store cache data and the CPU RAM to download the data (for example, the cache data in /home/ubuntu/.cache/huggingface/datasets/ needs almost 120 GB  during the downloading process). And even with a suitable instance, the download time of the DocLayNet large dataset is around 1h50. This is one more reason to test your fine-tuning code on [DocLayNet small](https://huggingface.co/datasets/pierreguillou/DocLayNet-small) and/or [DocLayNet base](https://huggingface.co/datasets/pierreguillou/DocLayNet-base) 😊
 ```
 # !pip install -q datasets