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# Submitting to the Leaderboard
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NAVSIM comes with official leaderboards on HuggingFace. The leaderboards prevent ambiguity in metric definitions between different projects, as all evaluation is performed on the server with the official evaluation script.
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To submit to a leaderboard you need to create a pickle file that contains a trajectory for each test scenario. NAVSIM provides a script to create such a pickle file.
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Have a look at `run_create_submission_pickle.sh`: this file creates the pickle file for the ConstantVelocity agent. You can run it for your own agent by replacing the `agent` override.
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Follow the [submission instructions on huggingface](https://huggingface.co/spaces/AGC2024-P/e2e-driving-2024) to upload your submission.
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**Note that you have to set the variables `TEAM_NAME`, `AUTHORS`, `EMAIL`, `INSTITUTION`, and `COUNTRY` in `run_create_submission_pickle.sh` to generate a valid submission file**
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### Warm-up track
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The warm-up track evaluates your submission on a [warm-up leaderboard](https://huggingface.co/spaces/AGC2024-P/e2e-driving-warmup) based on the `mini` split. This allows you to test your method and get familiar with the devkit and the submission procedure, with a less restrictive submission budget (up to 5 submissions daily). Instructions on making a submission on HuggingFace are available in the HuggingFace space. Performance on the warm-up leaderboard is not taken into consideration for determining your team's ranking for the 2024 Autonomous Grand Challenge.
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Use the script `run_create_submission_pickle_warmup.sh` which already contains the overrides `scene_filter=warmup_test_e2e` and `split=mini` to generate the submission file for the warmup track.
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You should be able to obtain the same evaluation results as on the server, by running the evaluation locally.
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To do so, use the overrides `scene_filter=warmup_test_e2e` when executing the script to run the PDM scoring (e.g., `run_cv_pdm_score_evaluation.sh` for the constant-velocity agent).
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### Formal track
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This is the [official challenge leaderboard](https://huggingface.co/spaces/AGC2024-P/e2e-driving-2024), based on secret held-out test frames (see submission_test split on the install page).
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Use the script `run_create_submission_pickle.sh`. It will by default run with `scene_filter=private_test_e2e` and `split=private_test_e2e`.
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You only need to set your own agent with the `agent` override.
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