chore(deps): update datasets requirement from >=2.0 to >=4.8.4

[dependabot]

Updates the requirements on datasets to permit the latest version.

Release notes

Sourced from datasets's releases.

4.8.4

What's Changed

• Support latest torchvision by @​lhoestq in huggingface/datasets#8087
• fix regression when loading JSON with one file = one object by @​lhoestq in huggingface/datasets#8086

Full Changelog: huggingface/datasets@4.8.3...4.8.4

Commits

• a0ce369 release: 4.8.4 (#8088)
• 0856825 fix regression when loading JSON with one file = one object (#8086)
• 6ca75d0 Support latest torchvision (#8087)
• 4a0c9c9 set dev version (#8083)
• d4942e2 Release 4.8.3 (#8082)
• 1b31309 Fix split_dataset_by_node step (#8081)
• 4a4813f Fix docstring of Json.cast_storage (#8080)
• 68294ab set dev version (#8077)
• 2c46ab1 release 4.8.2 (#8076)
• 97ba494 Json type for empty struct (#8074)
• Additional commits viewable in compare view

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[greptile-apps]

Greptile Summary

This Dependabot PR raises the minimum required version of the datasets library from >=2.0 to >=4.8.4, incorporating two years of upstream releases including bug fixes for JSON loading and torchvision compatibility. The codebase uses only Dataset.from_list() (in src/hippofloop/training/trainer.py), a stable API that is unaffected by the version jump.

Confidence Score: 5/5

Safe to merge — minimal dependency footprint and no breaking API usage.

The only usage of datasets in this codebase is Dataset.from_list(), a stable, long-lived API. No breaking changes affect this call site across the bumped version range. No other issues were found.

No files require special attention.

Important Files Changed

Filename	Overview
pyproject.toml	Bumps the datasets minimum version requirement from >=2.0 to >=4.8.4; codebase only uses the stable Dataset.from_list() API, which is unaffected by the jump.

Flowchart

%%{init: {'theme': 'neutral'}}%%
flowchart TD
    A[pyproject.toml] -->|datasets>=4.8.4| B[datasets library]
    B --> C[Dataset.from_list]
    C --> D[UnslothTrainer.train\nsrc/hippofloop/training/trainer.py]
    D --> E[SFTTrainer\ntrl]

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