datasets 4.8.0

on Python PyPI

Dataset Features

• Read (and write) from HF Storage Buckets: load raw data, process and save to Dataset Repos by @lhoestq in #8064

  from datasets import load_dataset
  # load raw data from a Storage Bucket on HF
  ds = load_dataset("buckets/username/data-bucket", data_files=["*.jsonl"])
  # or manually, using hf:// paths
  ds = load_dataset("json", data_files=["hf://buckets/username/data-bucket/*.jsonl"])
  # process, filter
  ds = ds.map(...).filter(...)
  # publish the AI-ready dataset
  ds.push_to_hub("username/my-dataset-ready-for-training")

  This also fixes multiprocessed push_to_hub on macos that was causing segfault (now it uses spawn instead of fork).
  And it bumps dill and multiprocess versions to support python 3.14

• Datasets streaming iterable packaged improvements and fixes by @Michael-RDev in #8068

  • added max_shard_size to IterableDataset.push_to_hub
  • more arrow-native iterable operations for IterableDataset
  • better support of glob patterns in archives, e.g. zip://*.jsonl::hf://datasets/username/dataset-name/data.zip
  • fixes for to_pandas, videofolder, load_dataset_builder kwargs

What's Changed

• fix reshard_data_sources by @lhoestq in #8061
• Improve error message for invalid data_files pattern format by @kushalkkb in #8060
• fix null filling in missing jsonl columns by @lhoestq in #8069

New Contributors

• @kushalkkb made their first contribution in #8060
• @Michael-RDev made their first contribution in #8068

Full Changelog: 4.7.0...4.8.0