Buckets:
Using 🤗 Datasets
Once you've found an interesting dataset on the Hugging Face Hub, you can load the dataset using 🤗 Datasets. You can click on the Use this dataset button to copy the code to load a dataset.
First you need to Login with your Hugging Face account, for example using:
hf auth login
And then you can load a dataset from the Hugging Face Hub using
from datasets import load_dataset
dataset = load_dataset("username/my_dataset")
# or load the separate splits if the dataset has train/validation/test splits
train_dataset = load_dataset("username/my_dataset", split="train")
valid_dataset = load_dataset("username/my_dataset", split="validation")
test_dataset = load_dataset("username/my_dataset", split="test")
You can also upload datasets to the Hugging Face Hub:
my_new_dataset.push_to_hub("username/my_new_dataset")
This creates a dataset repository username/my_new_dataset containing your Dataset in Parquet format, that you can reload later.
For more information about using 🤗 Datasets, check out the tutorials and how-to guides available in the 🤗 Datasets documentation.
Xet Storage Details
- Size:
- 1.32 kB
- Xet hash:
- 61e6cb8fe90bdf3654ec7505e173589efbe0ee30992a5afa73be3bb2e1256975
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.