# Tokenize iterable dataset

**URL:** </static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ftokenize-iterable-dataset%2F42333%3E%5C
**Category:** Models\
**Created:** [June 7, 2023, 12:21am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ftokenize-iterable-dataset%2F42333 "2023-06-07T00:21:57Z")\
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**Author:** ![surya-narayanan](https://avatars.discourse-cdn.com/v4/letter/s/d2c977/32.png) [@surya-narayanan](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fsurya-narayanan)%5C
**Post date:** [June 7, 2023, 12:21am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ftokenize-iterable-dataset%2F42333%2F1 "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?