Link the code repository

README.md

@@ -91,7 +91,7 @@ for z in *.zip; do unzip -q "$z" -d "$PERSONADRIVE_DATA_ROOT"; done
 | Re-run Stage-3 fine-tuning | `data_fast`, `data_slow`, `commentary`, `drivelm`, plus SimLingo's PDM-lite data |
 | Re-run Stages 1–2 (retrieval head, per-style indices) | all five zips, plus PDM-lite for the style-agnostic `normal` index |
 
-Evaluation with retrieval opens the camera frames of the retrieved demonstrations, so it needs the frames of the chosen style. It also needs the retrieval head, which is in the code repository, and the per-style FAISS indices. The code repository's `datasets/README.md` describes both.
+Evaluation with retrieval opens the camera frames of the retrieved demonstrations, so it needs the frames of the chosen style. It also needs the retrieval head, which is in the [code repository](https://github.com/PervasiveAutonomyLab/PersonaDrive/blob/main/persona_drive_rag/checkpoints/best_model.pt), and the per-style FAISS indices, which you build from this dataset ([Build the retrieval indices](https://github.com/PervasiveAutonomyLab/PersonaDrive#3-build-the-retrieval-indices)). The code repository's [`datasets/README.md`](https://github.com/PervasiveAutonomyLab/PersonaDrive/blob/main/datasets/README.md) lists which zips each use needs.
 
 ## How the data was collected
 
@@ -177,7 +177,7 @@ Each route folder (`<Town..>/`) contains:
 ## Not included
 
 - **SimLingo's PDM-lite data** (`training_1_scenario`, used for Stage-3 fine-tuning and the `normal` index). It is the SimLingo dataset of Wayve Technologies Ltd and is distributed by its authors under their own licence; download it from [SimLingo](https://github.com/RenzKa/simlingo).
-- **The FAISS indices and other retrieval artefacts.** See the code repository.
+- **The FAISS indices and other retrieval artefacts.** Build them from this dataset with the [code repository](https://github.com/PervasiveAutonomyLab/PersonaDrive#3-build-the-retrieval-indices).
 
 ## Citation