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Download README.md from christti/coco_dataset_multi_label_script: direct link, hf CLI and curl.
- Browser
- Download file 807 Bytes
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https://huggingface.co/datasets/christti/coco_dataset_multi_label_script/resolve/main/README.md
- Command line
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hf download hf://datasets/christti/coco_dataset_multi_label_script/README.md
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curl -L -o README.md https://huggingface.co/datasets/christti/coco_dataset_multi_label_script/resolve/main/README.md
807 Bytes
Usage
For testing purpose, you can use the hosted dummy dataset (dummy_data) as follows:
import datasets
ds = datasets.load_dataset("christti/coco_dataset_multi_label_script", "2017", data_dir="./dummy_data/")
For using the COCO dataset (2017), you need to download it manually first:
wget http://images.cocodataset.org/zips/train2017.zip
wget http://images.cocodataset.org/zips/val2017.zip
wget http://images.cocodataset.org/zips/test2017.zip
wget http://images.cocodataset.org/annotations/annotations_trainval2017.zip
wget http://images.cocodataset.org/annotations/image_info_test2017.zip
Then to load the dataset:
COCO_DIR = ...(path to the downloaded dataset directory)...
ds = datasets.load_dataset("christti/coco_dataset_multi_label_script", "2017", data_dir=COCO_DIR)