llama-stack/llama_stack/providers/remote/datasetio
Xi Yan 8b45d147df
[/datasetio] drop columns not specified by dataset schema for huggingface provider (#611)
# What does this PR do?

**Why**
- huggingface datasets could have extra unused columns, some of these
columns (e.g. images) is unable to be casted as JSON over http requests
for datasetio.
- it is also inefficient to create a new dataset that's a subset of
columns

**Solution**
- drop columns not specified by dataset schema

## Test Plan

Tested with script:
https://gist.github.com/yanxi0830/23be5725e0d82d79e24cc5dd1d21b571


## Sources

Please link relevant resources if necessary.


## Before submitting

- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [ ] Ran pre-commit to handle lint / formatting issues.
- [ ] Read the [contributor
guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md),
      Pull Request section?
- [ ] Updated relevant documentation.
- [ ] Wrote necessary unit or integration tests.
2024-12-12 10:23:09 -08:00
..
huggingface [/datasetio] drop columns not specified by dataset schema for huggingface provider (#611) 2024-12-12 10:23:09 -08:00
__init__.py add missing __init__ 2024-11-25 17:23:27 -08:00