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13 changes: 11 additions & 2 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -65,7 +65,7 @@ gmake dataset # note: gmake not make for this step
Option 1:
```
make clobber
````
```
This will remove the pipeline output directories the files and folders generated during the transform/dataset steps, but will keep the downloaded collection data.

:memo: **Note:** You would use this when you want to re-run `make transformed` and `gmake dataset`
Expand All @@ -75,7 +75,7 @@ Option 2:
make Clean
```
This does everything `make clobber` does but also removes logs, resouces csvs, state.json, downloaded pipeline config csvs and collection config csvs.
```

:memo: **Note:** You would do this when you want to re-run a pipeline totally from scratch.


Expand Down Expand Up @@ -104,6 +104,15 @@ Whichever runs last wins. So:
* `make init` after `make dev` → back to GitHub
* `make dev` after `make init` → back to your local repo

## Example pipelines to run

These are good choices when you want to quickly verify the pipeline is working correctly.

| Collection | Approx. time | Notes |
|---|---|---|
| `area-of-outstanding-natural-beauty` | ~5 mins | Minimal — 2 expectations, no geometry checks. Good for a quick smoke test. |
| `ancient-woodland` | ~12 mins | Small dataset, used throughout the docs as the default example. |
| `brownfield-site` | ~20 mins | Larger (342 expectations) but all fast `count_deleted_entities` checks — good for testing expectations run correctly at scale. |


### Docker
Expand Down