feat: deprecate old leaderboards

app.py

@@ -59,8 +59,56 @@ def main():
 
     with gr.Blocks(css=css) as block:
         with gr.Tabs():
-            with gr.TabItem("🏆 ViDoRe V1"):
-                gr.Markdown("# ViDoRe: The Visual Document Retrieval Benchmark 1 📚🔍")
+            with gr.TabItem("📚 Submit your model"):
+                gr.Markdown("# How to Submit a New Model to the Leaderboard")
+                gr.Markdown(
+                    """
+                    To submit a new model to the ViDoRe leaderboard, follow these steps:
+
+                    1. **Evaluate your model**:
+                       - Follow the evaluation script provided in the [ViDoRe GitHub repository](https://github.com/illuin-tech/vidore-benchmark/)
+
+                    2. **Format your submission file**:
+                        - The submission file should automatically be generated, and named `results.json` with the
+                        following structure:
+                        ```json
+                        {
+                            "dataset_name_1": {
+                                "metric_1": score_1,
+                                "metric_2": score_2,
+                                ...
+                            },
+                            "dataset_name_2": {
+                                "metric_1": score_1,
+                                "metric_2": score_2,
+                                ...
+                            },
+                        }
+                        ```
+                        - The dataset names should be the same as the ViDoRe and ViDoRe 2 dataset names listed in the following
+                        collections: [ViDoRe Benchmark](https://huggingface.co/collections/vidore/vidore-benchmark-667173f98e70a1c0fa4db00d) and [ViDoRe Benchmark 2](vidore/vidore-benchmark-v2-dev-67ae03e3924e85b36e7f53b0).
+
+                    3. **Submit your model**:
+                        - Create a public HuggingFace model repository with your model.
+                        - Add the tag `vidore` to your model in the metadata of the model card and place the
+                        `results.json` file at the root.
+
+                    And you're done! Your model will appear on the leaderboard when you click refresh! Once the space
+                    gets rebooted, it will appear on startup.
+
+                    Note: For proper hyperlink redirection, please ensure that your model repository name is in
+                    kebab-case, e.g. `my-model-name`.
+                    """
+                )
+            with gr.TabItem("[Deprecated] ViDoRe V1"):
+                gr.Markdown(
+                    "## <span style='color:red'>Deprecation notice: This leaderboard contains the results computed with the "
+                    "[vidore-benchmark](https://github.com/illuin-tech/vidore-benchmark) package, "
+                    "which is no longer maintained. Results should be computed using the "
+                    "[mteb](https://github.com/embeddings-benchmark/mteb) package as described "
+                    "[here](https://github.com/illuin-tech/vidore-benchmark/blob/main/README.md).</span>"
+                )
+                gr.Markdown("# [Deprecated] ViDoRe: The Visual Document Retrieval Benchmark 1 📚🔍")
                 gr.Markdown("### From the paper - ColPali: Efficient Document Retrieval with Vision Language Models 👀")
 
                 gr.Markdown(
@@ -144,8 +192,15 @@ def main():
                 ```
                 """
                 )
-            with gr.TabItem("🏆 ViDoRe V2"):
-                gr.Markdown("# ViDoRe V2: A new visual Document Retrieval Benchmark 📚🔍")
+            with gr.TabItem("[Deprecated] ViDoRe V2"):
+                gr.Markdown(
+                    "## <span style='color:red'>Deprecation notice: This leaderboard contains the results computed with the "
+                    "[vidore-benchmark](https://github.com/illuin-tech/vidore-benchmark) package, "
+                    "which is no longer maintained. Results should be computed using the "
+                    "[mteb](https://github.com/embeddings-benchmark/mteb) package as described "
+                    "[here](https://github.com/illuin-tech/vidore-benchmark/blob/main/README.md).</span>"
+                )
+                gr.Markdown("# [Deprecated] ViDoRe V2: A new visual Document Retrieval Benchmark 📚🔍")
                 gr.Markdown("### A harder dataset benchmark for visual document retrieval 👀")
 
                 gr.Markdown(
@@ -247,48 +302,6 @@ def main():
                 ```
                 """
                 )
-            
-            with gr.TabItem("📚 Submit your model"):
-                gr.Markdown("# How to Submit a New Model to the Leaderboard")
-                gr.Markdown(
-                    """
-                    To submit a new model to the ViDoRe leaderboard, follow these steps:
-
-                    1. **Evaluate your model**:
-                       - Follow the evaluation script provided in the [ViDoRe GitHub repository](https://github.com/illuin-tech/vidore-benchmark/)
-
-                    2. **Format your submission file**:
-                        - The submission file should automatically be generated, and named `results.json` with the
-                        following structure:
-                        ```json
-                        {
-                            "dataset_name_1": {
-                                "metric_1": score_1,
-                                "metric_2": score_2,
-                                ...
-                            },
-                            "dataset_name_2": {
-                                "metric_1": score_1,
-                                "metric_2": score_2,
-                                ...
-                            },
-                        }
-                        ```
-                        - The dataset names should be the same as the ViDoRe and ViDoRe 2 dataset names listed in the following
-                        collections: [ViDoRe Benchmark](https://huggingface.co/collections/vidore/vidore-benchmark-667173f98e70a1c0fa4db00d) and [ViDoRe Benchmark 2](vidore/vidore-benchmark-v2-dev-67ae03e3924e85b36e7f53b0).
-
-                    3. **Submit your model**:
-                        - Create a public HuggingFace model repository with your model.
-                        - Add the tag `vidore` to your model in the metadata of the model card and place the
-                        `results.json` file at the root.
-
-                    And you're done! Your model will appear on the leaderboard when you click refresh! Once the space
-                    gets rebooted, it will appear on startup.
-
-                    Note: For proper hyperlink redirection, please ensure that your model repository name is in
-                    kebab-case, e.g. `my-model-name`.
-                    """
-                )
 
     block.queue(max_size=10).launch(debug=True)