---

name: datasets-and-examples description: "Use Flower Datasets and example app patterns without reopening the source repo." metadata: disco-role: operating disable-model-invocation: true license: Apache 2.0

Flower Datasets and Examples

Use this sub-skill when the user needs Flower Datasets, partitioning workflows, or example-project wiring patterns.

Use for

• FederatedDataset, partitioners, preprocessors, and visualization
• local CSV/JSON/image/audio and in-memory data flows
• flwr-datasets create for IID demo partitions on disk
• example app catalogs and dependency variants from examples/*/pyproject.toml

Stay out of

• Flower core app authoring beyond example layout clues
• deployment admin and strategy internals

Route

1. Prefer FederatedDataset for Hugging Face Hub data.
2. For local or in-memory data, build a datasets.Dataset first and assign it to a partitioner directly.
3. Use IidPartitioner for even splits, DirichletPartitioner for label skew, and PathologicalPartitioner for exact class-count constraints.
4. Use Divider or Merger to reshape splits before partitioning.
5. Use plot_label_distributions or plot_comparison_label_distribution to inspect heterogeneity.
6. Use scripts/catalog_examples.py to compare example dependency stacks and tool.flwr.app wiring.

References

• references/api-reference.md
• references/workflows.md
• references/troubleshooting.md

Helpers

• scripts/check_flwr_datasets.py
• scripts/catalog_examples.py