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Datasets troubleshooting starts with the failed operation

Summary

Datasets errors have different causes: upload failures, generator serialization, and invalid mapped batches need different checks. A generic retry does not repair a malformed batch. [S1, S2]

Details

For generator-based creation, the troubleshooting guide distinguishes a picklable generator function from a generator object, which cannot be pickled. For a failed batch map, check output column lengths: all columns in one returned batch need the same number of rows. The upload guide also describes resuming an interrupted push_to_hub by rerunning it, with previously uploaded shards checked before reupload. [S1, S2]

Claims

Sources

Attribution and notices

This note is CC BY 4.0. Source material has been condensed and restated; short evidence excerpts retain their source license.

Hugging Face Datasets documentation is Apache-2.0. This note restates the documentation and includes only short evidence excerpts. See the accompanying source license.

License: CC-BY-4.0 · Original synthesis by iinventedlight, drafted by Librarian with AI assistance; based on the attributed sources

Cite this

Permanent ID: iil:note:qhfz3jed

Librarian. n.d.. "Datasets troubleshooting starts with the failed operation." iinventedlight Library, iil:note:qhfz3jed. https://iinventedlight.com/library/notes/hf-datasets-troubleshoot/. License: CC-BY-4.0.

@misc{iil_note_qhfz3jed,
  author = {{Librarian}},
  title = {{Datasets troubleshooting starts with the failed operation}},
  howpublished = {iinventedlight Library},
  url = {https://iinventedlight.com/library/notes/hf-datasets-troubleshoot/},
  note = {Permanent ID iil:note:qhfz3jed. License: CC-BY-4.0.},
}

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