Move evaluations to src/

.gitignore

@@ -11,7 +11,7 @@ wheels/
 
 # tests
 .coverage*
-evaluations/data/
+src/evaluations/data/
 tests/data/
 .pytest_cache/
 .ruff_cache/

docs/benchmarks.md

@@ -3,7 +3,7 @@
 We use the [repliqa](https://huggingface.co/datasets/ServiceNow/repliqa) dataset for the evaluation of `haiku.rag`.
 
 You can perform your own evaluations with the Typer CLI in
-`evaluations/benchmark.py`, for example `python -m evaluations.benchmark repliqa`.
+`src/evaluations/benchmark.py`, for example `cd src && python -m evaluations.benchmark repliqa`.
 The evaluation flow is orchestrated with
 [`pydantic-evals`](https://github.com/pydantic/pydantic-ai/tree/main/libs/pydantic-evals),
 which we leverage for dataset management, scoring, and report generation.

pyproject.toml

@@ -49,7 +49,7 @@ requires = ["hatchling"]
 build-backend = "hatchling.build"
 
 [tool.hatch.build]
-exclude = ["/docs", "/evaluations", "/tests", "/.github"]
+exclude = ["/docs", "/tests", "/.github"]
 
 [tool.hatch.build.targets.wheel]
 packages = ["src/haiku"]