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@@ -40,6 +40,18 @@ dataset_info:
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  download_size: 6286282416
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  dataset_size: 6289998121.391
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  ---
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- # Dataset Card for "goorealv3"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
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  download_size: 6286282416
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  dataset_size: 6289998121.391
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  ---
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+ The dataset features/columns here are almost similar to the original github instruction: https://github.com/upeee/GOO-GAZE2021/blob/main/dataset/gooreal-download.txt
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+ To download gooreal in huggingface, run the code below (https://huggingface.co/docs/datasets/v1.10.0/loading_datasets.html#from-the-huggingface-hub):
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+
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+ from datasets import load_dataset</br>
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+ dataset = load_dataset("markytools/goorealv3")
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+
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+ The image datasets will be stored in ""~/.cache/huggingface", so you need to delete the files here if you want to free up space.
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+ The only difference here is that there is a new feature name called "splits", ["train", "test"] </br>
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+ The "bboxes" and "labels" features are in string format, so you can use the code below to convert the string into list:</br>
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+ import ast</br>
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+ listOfBboxes = ast.literal_eval(dataset["test"]["bboxes"][0])</br>
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+ </br>
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+ The feature "seg" is now in string format instead of numpy ndarray. This is an optional feature, and you can manually download the files here (https://huggingface.co/datasets/markytools/goosegmv3) and use wget commandline. The files are in .npy so load it using np.load (https://numpy.org/doc/stable/reference/generated/numpy.save.html).