# Read CSV multi threading

**URL:** </static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fread-csv-multi-threading%2F8490%3E%5C
**Category:** 🤗Datasets\
**Created:** [July 19, 2021, 11:04am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fread-csv-multi-threading%2F8490 "2021-07-19T11:04:49Z")\
**Posts on this page:** 1\
**Showing post:** 5

<div class="post-metadata">

**Author:** ![lhoestq](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/lhoestq/32/52888_2.png) [@lhoestq](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Flhoestq)%5C
**Post date:** [July 20, 2021, 1:46pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fread-csv-multi-threading%2F8490%2F5 "2021-07-20T13:46:02Z")

</div>

Once you have you processed data, you can save them using `save_to_disk` to save them in the directory of your choice. When this is done, you can completely delete your cache and reload your processed dataset with `load_from_disk` for example (see the [documentation](https://huggingface.co/docs/datasets/processing.html#saving-a-processed-dataset-on-disk-and-reload-it))

Also note that if you really need to, you can load any arrow file with `Dataset.from_file("path/to/any/arrow/file")`

---

_[View the full topic](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fread-csv-multi-threading%2F8490)._