Update about section

app.py

@@ -155,93 +155,6 @@ with demo:
         with gr.TabItem("📝 About", elem_id="syntherela-benchmark-tab-table", id=3):
             gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
 
-        with gr.TabItem("🚀 Submit here! ", elem_id="syntherela-benchmark-tab-table", id=4):
-            with gr.Column():
-                with gr.Row():
-                    gr.Markdown(EVALUATION_QUEUE_TEXT, elem_classes="markdown-text")
-
-                with gr.Column():
-                    with gr.Accordion(
-                        f"✅ Finished Evaluations ({len(finished_eval_queue_df)})",
-                        open=False,
-                    ):
-                        with gr.Row():
-                            finished_eval_table = gr.components.Dataframe(
-                                value=finished_eval_queue_df,
-                                headers=EVAL_COLS,
-                                datatype=EVAL_TYPES,
-                                row_count=5,
-                            )
-                    with gr.Accordion(
-                        f"🔄 Running Evaluation Queue ({len(running_eval_queue_df)})",
-                        open=False,
-                    ):
-                        with gr.Row():
-                            running_eval_table = gr.components.Dataframe(
-                                value=running_eval_queue_df,
-                                headers=EVAL_COLS,
-                                datatype=EVAL_TYPES,
-                                row_count=5,
-                            )
-
-                    with gr.Accordion(
-                        f"⏳ Pending Evaluation Queue ({len(pending_eval_queue_df)})",
-                        open=False,
-                    ):
-                        with gr.Row():
-                            pending_eval_table = gr.components.Dataframe(
-                                value=pending_eval_queue_df,
-                                headers=EVAL_COLS,
-                                datatype=EVAL_TYPES,
-                                row_count=5,
-                            )
-            with gr.Row():
-                gr.Markdown("# ✉️✨ Submit your model here!", elem_classes="markdown-text")
-
-            with gr.Row():
-                with gr.Column():
-                    model_name_textbox = gr.Textbox(label="Model name")
-                    revision_name_textbox = gr.Textbox(label="Revision commit", placeholder="main")
-                    model_type = gr.Dropdown(
-                        choices=[t.to_str(" : ") for t in ModelType if t != ModelType.Unknown],
-                        label="Model type",
-                        multiselect=False,
-                        value=None,
-                        interactive=True,
-                    )
-
-                # with gr.Column():
-                    # precision = gr.Dropdown(
-                    #     choices=[i.value.name for i in Precision if i != Precision.Unknown],
-                    #     label="Precision",
-                    #     multiselect=False,
-                    #     value="float16",
-                    #     interactive=True,
-                    # )
-                    # weight_type = gr.Dropdown(
-                    #     choices=[i.value.name for i in WeightType],
-                    #     label="Weights type",
-                    #     multiselect=False,
-                    #     value="Original",
-                    #     interactive=True,
-                    # )
-                    base_model_name_textbox = gr.Textbox(label="Base model (for delta or adapter weights)")
-
-            submit_button = gr.Button("Submit Eval")
-            submission_result = gr.Markdown()
-            submit_button.click(
-                add_new_eval,
-                [
-                    model_name_textbox,
-                    base_model_name_textbox,
-                    revision_name_textbox,
-                    # precision,
-                    # weight_type,
-                    model_type,
-                ],
-                submission_result,
-            )
-
     with gr.Row():
         with gr.Accordion("📙 Citation", open=False):
             citation_button = gr.Textbox(

src/about.py

@@ -60,47 +60,28 @@ Intro text
 
 # Which evaluations are you running? how can people reproduce what you have?
 LLM_BENCHMARKS_TEXT = f"""
-## How it works
+# About
+The **SyntheRela leaderboard** provides a public evaluation of relational database synthesis methods using the **SyntheRela benchmark** ([github](https://github.com/martinjurkovic/syntherela)). This benchmark incorporates best practices, a novel robust detection metric, and a relational deep learning utility approach that leverages graph neural networks. It enables a comprehensive comparison of methods across multiple real-world databases.
 
-## Reproducibility
-To reproduce our results, here is the commands you can run:
+To add a model to the leaderboard, run the **SyntheRela benchmark** on your generated data and then open a pull request on the [SyntheRela repository](https://github.com/martinjurkovic/syntherela).
 
-"""
-
-EVALUATION_QUEUE_TEXT = """
-## Some good practices before submitting a model
-
-### 1) Make sure you can load your model and tokenizer using AutoClasses:
-```python
-from transformers import AutoConfig, AutoModel, AutoTokenizer
-config = AutoConfig.from_pretrained("your model name", revision=revision)
-model = AutoModel.from_pretrained("your model name", revision=revision)
-tokenizer = AutoTokenizer.from_pretrained("your model name", revision=revision)
-```
-If this step fails, follow the error messages to debug your model before submitting it. It's likely your model has been improperly uploaded.
+## Authors
+- **Martin Jurkovič**
+- **Valter Hudovernik**
+- **Erik Štrumbelj**
 
-Note: make sure your model is public!
-Note: if your model needs `use_remote_code=True`, we do not support this option yet but we are working on adding it, stay posted!
+If you use the results from this leaderboard in your research, please **cite our paper** (citation below).
 
-### 2) Convert your model weights to [safetensors](https://huggingface.co/docs/safetensors/index)
-It's a new format for storing weights which is safer and faster to load and use. It will also allow us to add the number of parameters of your model to the `Extended Viewer`!
-
-### 3) Make sure your model has an open license!
-This is a leaderboard for Open LLMs, and we'd love for as many people as possible to know they can use your model 🤗
-
-### 4) Fill up your model card
-When we add extra information about models to the leaderboard, it will be automatically taken from the model card
+"""
 
-## In case of model failure
-If your model is displayed in the `FAILED` category, its execution stopped.
-Make sure you have followed the above steps first.
-If everything is done, check you can launch the EleutherAIHarness on your model locally, using the above command without modifications (you can add `--limit` to limit the number of examples per task).
+EVALUATION_QUEUE_TEXT = """
+To add a model to the leaderboard, run the **SyntheRela benchmark** on your generated data and then open a pull request on the [SyntheRela repository](https://github.com/martinjurkovic/syntherela).
 """
 
 CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
 CITATION_BUTTON_TEXT = r"""
 @inproceedings{
-    jurkovic2025syntherela,
+    iclrsyntheticdata2025syntherela,
     title={SyntheRela: A Benchmark For Synthetic Relational Database Generation},
     author={Martin Jurkovic and Valter Hudovernik and Erik {\v{S}}trumbelj},
     booktitle={Will Synthetic Data Finally Solve the Data Access Problem?},