# Tokenize iterable dataset

**URL:** <https://discuss.huggingface.co/t/tokenize-iterable-dataset/42333>\
**Category:** Models\
**Created:** [June 7, 2023, 12:21am UTC](https://discuss.huggingface.co/t/tokenize-iterable-dataset/42333 "2023-06-07T00:21:57Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![surya-narayanan](https://avatars.discourse-cdn.com/v4/letter/s/d2c977/32.png) [@surya-narayanan](https://discuss.huggingface.co/u/surya-narayanan)\
**Post date:** [June 7, 2023, 12:21am UTC](https://discuss.huggingface.co/t/tokenize-iterable-dataset/42333/1 "2023-06-07T00:21:57Z")

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From what I understand, it’s better to set batch size = 1 for mapping a tokenize function on an iterable dataset, right? Or rather, to process with batched = False?
