The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: RuntimeError
Message: Dataset scripts are no longer supported, but found snacks.py
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1031, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 989, in dataset_module_factory
raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
RuntimeError: Dataset scripts are no longer supported, but found snacks.pyNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Dataset Card for Snacks
Dataset Summary
This is a dataset of 20 different types of snack foods that accompanies the book Machine Learning by Tutorials.
The images were taken from the Google Open Images dataset, release 2017_11.
Dataset Structure
Number of images in the train/validation/test splits:
train 4838
val 955
test 952
total 6745
Total images in each category:
apple 350
banana 350
cake 349
candy 349
carrot 349
cookie 349
doughnut 350
grape 350
hot dog 350
ice cream 350
juice 350
muffin 348
orange 349
pineapple 340
popcorn 260
pretzel 204
salad 350
strawberry 348
waffle 350
watermelon 350
To save space in the download, the images were resized so that their smallest side is 256 pixels. All EXIF information was removed.
Data Splits
Train, Test, Validation
Licensing Information
Just like the images from Google Open Images, the snacks dataset is licensed under the terms of the Creative Commons license.
The images are listed as having a CC BY 2.0 license.
The annotations are licensed by Google Inc. under a CC BY 4.0 license.
The credits.csv file contains the original URL, author information and license for each image.
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