Huggingface Batch Processing

batched_dict data {
	column1: []
	column2: []
}

dataset.map(with_rank=True, with_indices=True)

dataset.batch(batch_size=32)

# Iterate over the batched dataset
for batch in batched_dataset:
    print(batch)
    break

Main classes

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

https://huggingface.co/docs/datasets/package_reference/main_classes#datasets.DatasetDict.map

Stream

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

https://huggingface.co/docs/datasets/stream