ids = load_dataset("c4", "en", split="train", streaming=True)
ids = ids.map(...).with_format("torch") # to get PyTorch tensors - also works with tf, np, jax etc.
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Bumps datasets from 1.15.1 to 2.13.0.
Release notes
Sourced from datasets's releases.
... (truncated)
Commits
9aaee6f
Release: 2.13.0 (#5957)650a86e
Fix sequence of array support for most dtype (#5948)f1911ff
Add Arrow builder docs (#5952)9e40d28
Fix ArrowExamplesIterable.shard_data_sources (#5956)d536e37
Make get_from_cache use custom temp filename that is locked (#5938)7845d4c
Better filenotfound for gated (#5954)78b4d55
Avoid parallel redownload in cache (#5937)accaaf2
Add parallel module using joblib for Spark (#5924)443fc92
Arrow dataset builder to be able to load and stream Arrow datasets (#5944)963ff6d
Iterable torch formatting (#5852)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase
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