UnicodeDecodeError: ... Efficient way to debug the dataset with streaming?
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Description
After training with approximately 30,000 batches in streaming, I encountered this error:
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xfb in position 2: invalid start byte
The dataset is around 200 GB. Is there an efficient way to debug the dataset, or any try-catch approach I could use within the streaming process to handle this error?
Thanks!
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Research direction
The report names only the streaming training process, a UnicodeDecodeError, and an approximately 200 GB dataset; no source file, test, or reproducible sample is provided. Start by isolating which dataset batch and decoding step produce the error, then determine what diagnostic or handling behavior is expected for corrupt data. Done should include a reproducible failure and verified behavior for that case.
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Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100