@@ -62,30 +62,28 @@ Please follow the instructions in [models/README.md](models/README.md) for instr
You can add your SSH Keys to your GitLab account by going to your profile settings [here](https://gitlab.aicrowd.com/-/profile/keys). If you do not have SSH Keys, you will first need to [generate one](https://docs.gitlab.com/ee/user/ssh.html).
2.**Fork the repository**. You can use [this link](https://gitlab.aicrowd.com/aicrowd/challenges/meta-comprehensive-rag-benchmark-kdd-cup-2024/meta-comphrehensive-rag-benchmark-starter-kit/-/forks/new) to create a fork.
4. Write your own model as described in [How to write your own model](#how-to-write-your-own-model) section.
5. Write your own model as described in [How to write your own model](#how-to-write-your-own-model) section.
5. Test your model locally using `python local_evaluation.py`.
6. Test your model locally using `python local_evaluation.py`.
6. Accept the Challenge Rules on the main [challenge page](https://www.aicrowd.com/challenges/meta-comprehensive-rag-benchmark-kdd-cup-2024) by clicking on the **Participate** button. Also accept the Challenge Rules on the Task specific page (link on the challenge page) that you want to submit to.
7. Accept the Challenge Rules on the main [challenge page](https://www.aicrowd.com/challenges/meta-comprehensive-rag-benchmark-kdd-cup-2024) by clicking on the **Participate** button. Also accept the Challenge Rules on the Task specific page (link on the challenge page) that you want to submit to.
7. Make a submission as described in [How to make a submission](#-how-to-make-a-submission) section.
8. Make a submission as described in [How to make a submission](#-how-to-make-a-submission) section.
# ✍️ How to write your own model?
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@@ -108,6 +106,9 @@ In summary, we provide you `4` x [[NVIDIA T4 GPUs](https://www.nvidia.com/en-us/
## Which track is this starter kit for ?
This starter kit can be used to submit to any of the tracks. You can find more information in [docs/submission.md#submitting-to-different-tracks](docs/submission.md#submitting-to-different-tracks).
## Where can I know more about the dataset schema ?
The dataset schema is described in [docs/dataset.md](docs/dataset.md).