Upload app.py

app.py

@@ -1576,7 +1576,7 @@ with block:
                     
                     - **Metric:** Various, refer to task tabs
                     - **Languages:** French
-                    - **Credits:** [Lyon-NLP](https://github.com/Lyon-NLP): [Gabriel Sequeira](https://github.com/GabrielSequeira), [Imene Kerboua](https://github.com/imenelydiaker), [wissam-sib](https://github.com/wissam-sib), [Sunalwing](https://github.com/Sunalwing)
+                    - **Credits:** [Lyon-NLP](https://github.com/Lyon-NLP): [Gabriel Sequeira](https://github.com/GabrielSequeira), [Imene Kerboua](https://github.com/imenelydiaker), [wissam-sib](https://github.com/wissam-sib), [Mathieu Ciancone](https://github.com/MathieuCiancone), [Marion Schaeffer](https://github.com/schmarion)
                     """)
                 with gr.Row():
                     data_overall_fr = gr.components.Dataframe(
@@ -1719,7 +1719,7 @@ with block:
                     
                     - **Metric:** [Accuracy](https://huggingface.co/spaces/evaluate-metric/accuracy)
                     - **Languages:** French
-                    - **Credits:**
+                    - **Credits:** [Lyon-NLP](https://github.com/Lyon-NLP): [Gabriel Sequeira](https://github.com/GabrielSequeira), [Imene Kerboua](https://github.com/imenelydiaker), [wissam-sib](https://github.com/wissam-sib), [Mathieu Ciancone](https://github.com/MathieuCiancone), [Marion Schaeffer](https://github.com/schmarion)
                     """)
                 with gr.Row():
                     data_classification_fr = gr.components.Dataframe(
@@ -1865,7 +1865,7 @@ with block:
                     
                     - **Metric:** Validity Measure (v_measure)
                     - **Languages:** French
-                    - **Credits:**
+                    - **Credits:** [Lyon-NLP](https://github.com/Lyon-NLP): [Gabriel Sequeira](https://github.com/GabrielSequeira), [Imene Kerboua](https://github.com/imenelydiaker), [wissam-sib](https://github.com/wissam-sib), [Mathieu Ciancone](https://github.com/MathieuCiancone), [Marion Schaeffer](https://github.com/schmarion)
                     """)
                 with gr.Row():
                     data_clustering_fr = gr.components.Dataframe(
@@ -1970,7 +1970,7 @@ with block:
                     
                     - **Metric:** Average Precision based on Cosine Similarities (cos_sim_ap)
                     - **Languages:** French
-                    - **Credits:**
+                    - **Credits:** [Lyon-NLP](https://github.com/Lyon-NLP): [Gabriel Sequeira](https://github.com/GabrielSequeira), [Imene Kerboua](https://github.com/imenelydiaker), [wissam-sib](https://github.com/wissam-sib), [Mathieu Ciancone](https://github.com/MathieuCiancone), [Marion Schaeffer](https://github.com/schmarion)
                     """)
                 with gr.Row():
                     data_pair_classification_fr = gr.components.Dataframe(
@@ -2054,7 +2054,7 @@ with block:
                     
                     - **Metric:** Mean Average Precision (MAP)
                     - **Languages:** French
-                    - **Credits:**
+                    - **Credits:** [Lyon-NLP](https://github.com/Lyon-NLP): [Gabriel Sequeira](https://github.com/GabrielSequeira), [Imene Kerboua](https://github.com/imenelydiaker), [wissam-sib](https://github.com/wissam-sib), [Mathieu Ciancone](https://github.com/MathieuCiancone), [Marion Schaeffer](https://github.com/schmarion)
                     """)
                 with gr.Row():
                     data_reranking_fr = gr.components.Dataframe(
@@ -2119,7 +2119,7 @@ with block:
                     
                     - **Metric:** Normalized Discounted Cumulative Gain @ k (ndcg_at_10)
                     - **Languages:** French
-                    - **Credits:**
+                    - **Credits:** [Lyon-NLP](https://github.com/Lyon-NLP): [Gabriel Sequeira](https://github.com/GabrielSequeira), [Imene Kerboua](https://github.com/imenelydiaker), [wissam-sib](https://github.com/wissam-sib), [Mathieu Ciancone](https://github.com/MathieuCiancone), [Marion Schaeffer](https://github.com/schmarion)
                     """)
                 with gr.Row():
                     data_retrieval_fr = gr.components.Dataframe(
@@ -2205,7 +2205,7 @@ with block:
                     
                     - **Metric:** Spearman correlation based on cosine similarity
                     - **Languages:** French
-                    - **Credits:**
+                    - **Credits:** [Lyon-NLP](https://github.com/Lyon-NLP): [Gabriel Sequeira](https://github.com/GabrielSequeira), [Imene Kerboua](https://github.com/imenelydiaker), [wissam-sib](https://github.com/wissam-sib), [Mathieu Ciancone](https://github.com/MathieuCiancone), [Marion Schaeffer](https://github.com/schmarion)
                     """)
                 with gr.Row():
                     data_sts_fr = gr.components.Dataframe(
@@ -2277,9 +2277,29 @@ with block:
             with gr.Row():
                 data_run = gr.Button("Refresh")
                 data_run.click(
-                    partial(get_mteb_data, tasks=["Summarization"]),
+                    partial(get_mteb_data, tasks=TASK_LIST_SUMMARIZATION),
                     outputs=data_summarization,
                 )
+            with gr.Row():
+                gr.Markdown("""
+                **Summarization Leaderboard** 📜
+                
+                - **Metric:** Spearman correlation based on cosine similarity
+                - **Languages:** French
+                - **Credits:** [Lyon-NLP](https://github.com/Lyon-NLP): [Gabriel Sequeira](https://github.com/GabrielSequeira), [Imene Kerboua](https://github.com/imenelydiaker), [wissam-sib](https://github.com/wissam-sib), [Mathieu Ciancone](https://github.com/MathieuCiancone), [Marion Schaeffer](https://github.com/schmarion)                            
+                """)
+            with gr.Row():
+                data_summarization_fr = gr.components.Dataframe(
+                    DATA_SUMMARIZATION_FR,
+                    datatype=["number", "markdown"] + ["number"] * 2,
+                    type="pandas",
+                )
+            with gr.Row():
+                data_run_summarization_fr = gr.Button("Refresh")
+                data_run_summarization_fr.click(
+                    partial(get_mteb_data, tasks=TASK_LIST_SUMMARIZATION_FR),
+                    outputs=data_run_summarization_fr,
+                )                
     gr.Markdown(f"""
     - **Total Datasets**: {NUM_DATASETS}
     - **Total Languages**: 113