feat(datasets) Add semantic partitioner #463

	name: Datasets-E2E

	on:
	push:
	branches:
	- main
	paths:
	- "datasets/flwr_datasets/**"
	pull_request:
	branches:
	- main
	paths:
	- "datasets/flwr_datasets/**"

	concurrency:
	group: ${{ github.workflow }}-${{ github.ref == 'refs/heads/main' && github.run_id \|\| github.event.pull_request.number \|\| github.ref }}
	cancel-in-progress: true

	env:
	FLWR_TELEMETRY_ENABLED: 0

	jobs:
	frameworks:
	runs-on: ubuntu-22.04
	timeout-minutes: 10
	# Using approach described here:
	# https://docs.github.com/en/actions/using-jobs/using-a-matrix-for-your-jobs
	strategy:
	matrix:
	include:
	- directory: pytorch

	- directory: tensorflow

	- directory: scikit-learn

	name: Framework / ${{matrix.directory}}

	defaults:
	run:
	working-directory: datasets/e2e/${{ matrix.directory }}

	steps:
	- uses: actions/checkout@v4
	- name: Bootstrap
	uses: ./.github/actions/bootstrap
	with:
	python-version: 3.8
	- name: Install dependencies
	run: python -m poetry install
	- name: Run tests
	run: python -m unittest discover -p '*_test.py'

Provide feedback