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app.py

@@ -84,7 +84,7 @@ def donut_chart_total() -> alt.Chart:
     source = pd.DataFrame(
         {
             "values": [annotated_records, pending_records],
-            "category": ["Completed", "Remaining"],
+            "category": ["Vertaald", "Nog te gaan"],
             "colors": ["#4CAF50", "#757575"],  # Green for Completed, Grey for Remaining
         }
     )
@@ -123,7 +123,7 @@ def donut_chart_target() -> alt.Chart:
     source = pd.DataFrame(
         {
             "values": [annotated_records, pending_records],
-            "category": ["Completed", "Remaining"],
+            "category": ["Vertaald", "Nog te gaan"],
             "colors": ["#4CAF50", "#757575"],  # Green for Completed, Grey for Remaining
         }
     )
@@ -154,14 +154,14 @@ def kpi_chart_remaining() -> alt.Chart:
 
     pending_records = int(os.getenv("TARGET_RECORDS")) - len(target_dataset)
     # Assuming you have a DataFrame with user data, create a sample DataFrame
-    data = pd.DataFrame({"Category": ["Total remaining"], "Value": [pending_records]})
+    data = pd.DataFrame({"Category": ["Nog te gaan"], "Value": [pending_records]})
 
     # Create Altair chart
     chart = (
         alt.Chart(data)
         .mark_text(fontSize=100, align="center", baseline="middle", color="steelblue")
         .encode(text="Value:N")
-        .properties(title="Total remaining", width=250, height=200)
+        .properties(title="Nog te gaan", width=250, height=200)
     )
 
     return chart
@@ -177,14 +177,14 @@ def kpi_chart_submitted() -> alt.Chart:
     total = len(target_dataset)
 
     # Assuming you have a DataFrame with user data, create a sample DataFrame
-    data = pd.DataFrame({"Category": ["Total completed"], "Value": [total]})
+    data = pd.DataFrame({"Category": ["Totaal vertaald"], "Value": [total]})
 
     # Create Altair chart
     chart = (
         alt.Chart(data)
         .mark_text(fontSize=100, align="center", baseline="middle", color="steelblue")
         .encode(text="Value:N")
-        .properties(title="Total completed", width=250, height=200)
+        .properties(title="Totaal vertaald", width=250, height=200)
     )
 
     return chart
@@ -203,7 +203,7 @@ def kpi_chart() -> alt.Chart:
 
     # Assuming you have a DataFrame with user data, create a sample DataFrame
     data = pd.DataFrame(
-        {"Category": ["Total Contributors"], "Value": [total_annotators]}
+        {"Category": ["Aantal vertalers"], "Value": [total_annotators]}
     )
 
     # Create Altair chart
@@ -211,7 +211,7 @@ def kpi_chart() -> alt.Chart:
         alt.Chart(data)
         .mark_text(fontSize=100, align="center", baseline="middle", color="steelblue")
         .encode(text="Value:N")
-        .properties(title="Number of Contributors", width=250, height=200)
+        .properties(title="Aantal vertalers", width=250, height=200)
     )
 
     return chart
@@ -234,7 +234,7 @@ def obtain_top_5_users(user_ids_annotations: Dict[str, int]) -> pd.DataFrame:
     """
 
     dataframe = pd.DataFrame(
-        user_ids_annotations.items(), columns=["Name", "Submitted Responses"]
+        user_ids_annotations.items(), columns=["Username", "Aantal vertalingen"]
     )
     dataframe["Name"] = dataframe["Name"].apply(render_hub_user_link)
     dataframe = dataframe.sort_values(by="Submitted Responses", ascending=False)
@@ -296,40 +296,24 @@ def main() -> None:
     with gr.Blocks(css=css) as demo:
         gr.Markdown(
             """
-            # 🗣️ TKTKTK The Prompt Collective Dashboad
+            # 🇳🇱🇧🇪 Nederlands - Multilingual Prompt Evaluation Project
 
-            This Gradio dashboard shows the progress of the first "Data is Better Together" initiative to understand and collect good quality and diverse prompt for the OSS AI community.
-            If you want to contribute to OSS AI, join [the Prompt Collective HF Space](https://huggingface.co/spaces/DIBT/prompt-collective).
+            Hugging Face en @argilla crowdsourcen het [Multilingual Prompt Evaluation Project](https://github.com/huggingface/data-is-better-together/tree/main/prompt_translation): een open meertalige benchmark voor de evaluatie van taalmodellen, en dus ook voor het Nederlands.
+
+            En zoals altijd: daarvoor is data nodig! Vorige week hebben ze met de community al de beste 500 prompts geselecteerd die de benchmark gaan vormen. In het Engels, uiteraard.
+
+            **Daarom is nu jouw hulp nodig**: als we samen alle 500 prompts vertalen kunnen we Nederlands toegevoegd krijgen aan het leaderboard.
+
+            Meedoen is simpel. Ga naar [Annotatie-Space](https://dibt-dutch-prompt-translation-for-dutch.hf.space/), log in of maak een Hugging Face account, en je kunt meteen aan de slag.
+
+            Alvast bedankt! Oh, je krijgt ook een steuntje in de rug: GPT4 heeft alvast een vertaalsuggestie voor je klaargezet.
             """
         )
 
-        # gr.Markdown(
-        #     f"""
-        #     ## 📊 Target for Releasing Dataset v2
-        #     How close are we to the target for version 2.0?
-        #     """
-        # )
-        # with gr.Row():
-
-        #     donut_target_plot = gr.Plot(label="Plot")
-        #     demo.load(
-        #         donut_chart_target,
-        #         inputs=[],
-        #         outputs=[donut_target_plot],
-        #         every=update_interval_charts,
-        #     )
-
-        # gr.Markdown(
-        #     f"""
-        #     ## 📊 Target for Releasing Dataset v1
-        #     Done! Thanks to the awesome DIBT community we've surpassed 10K rated prompts. Open Dataset coming soon!
-        #     """
-        # )
-
         gr.Markdown(
             f"""
-            ## 🚀 Global Progress
-            Here's what the community has achieved so far!
+            ## 🚀 Voortgang
+            Dit is wat de community tot nu toe heeft bereikt!
             """
         )
         with gr.Row():
@@ -360,8 +344,8 @@ def main() -> None:
 
         gr.Markdown(
             """
-            ## 👾 Contributors Hall of Fame
-            The number of all contributors and the top contributors:
+            ## 👾 Scoreboard
+            The totaal aantal vertalers en de vertalers met de meeste bijdragen:
             """
         )
 
@@ -373,7 +357,7 @@ def main() -> None:
             )
 
             top5_df_plot = gr.Dataframe(
-                headers=["Name", "Submitted Responses"],
+                headers=["Username", "Aantal vertalingen"],
                 datatype=[
                     "markdown",
                     "number",