HF Buckets: Upload Only What Changed with Xet

Description

If you work with large datasets, you're probably re-uploading the same bytes every time the data changes. In this video I upload a 191 MB NYC taxi CSV to a Hugging Face Bucket, append 100 rows, and upload it again: Xet, Hugging Face's storage layer, sends only the new pieces. Then I convert the data to Parquet, prepend 100 rows, and sync again: with PyArrow's use_content_defined_chunking=True, only 8.6 MB of the 52.9 MB file goes over the wire. For data and ML engineers who push datasets to the Hub and keep them up to date. Topics covered: - How Xet uploads only the pieces that changed - Hug