@@ -104,7 +104,7 @@ Please refer to [local_evaluation.py](local_evaluation.py) for more details on h
...
@@ -104,7 +104,7 @@ Please refer to [local_evaluation.py](local_evaluation.py) for more details on h
2.**Fork** this starter kit repository. You can use [this link](https://gitlab.aicrowd.com/aicrowd/challenges/amazon-kdd-cup-2024/amazon-kdd-cup-2024-starter-kit/-/forks/new) to create a fork.
2.**Fork** this starter kit repository. You can use [this link](https://gitlab.aicrowd.com/aicrowd/challenges/amazon-kdd-cup-2024/amazon-kdd-cup-2024-starter-kit/-/forks/new) to create a fork.
3.**Clone** your forked repo and start developing your model.
3.**Clone** your forked repo and start developing your model.
4.**Develop** your model(s) following the template in [how to write your own model](#how-to-write-your-own-model) section.
4.**Develop** your model(s) following the template in [how to write your own model](#how-to-write-your-own-model) section.
5.[**Submit**](#how-to-make-a-submission) your trained models to [AIcrowd Gitlab](https://gitlab.aicrowd.com) for evaluation [(full instructions below)](#how-to-make-a-submission). The automated evaluation setup will evaluate the submissions on the private datasets and report the metrics on the leaderboard of the competition.
5.[**Submit**](#-how-to-make-a-submission) your trained models to [AIcrowd Gitlab](https://gitlab.aicrowd.com) for evaluation [(full instructions below)](#-how-to-make-a-submission). The automated evaluation setup will evaluate the submissions on the private datasets and report the metrics on the leaderboard of the competition.
# ✍️ How to write your own model?
# ✍️ How to write your own model?
...
@@ -141,7 +141,7 @@ You can add your SSH Keys to your GitLab account by going to your profile settin
...
@@ -141,7 +141,7 @@ You can add your SSH Keys to your GitLab account by going to your profile settin
6. Accept the Challenge Rules on the main [challenge page](https://www.aicrowd.com/challenges/amazon-kdd-cup-2024-multi-task-online-shopping-challenge-for-llms) 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.
6. Accept the Challenge Rules on the main [challenge page](https://www.aicrowd.com/challenges/amazon-kdd-cup-2024-multi-task-online-shopping-challenge-for-llms) 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.
7. Make a submission as described in [How to make a submission](#-how-to-make-a-submission) section.