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Update app.py

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  1. app.py +7 -7
app.py CHANGED
@@ -43,11 +43,11 @@ def main():
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  with gr.Tabs():
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  with gr.TabItem("πŸ† Leaderboard"):
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  gr.Markdown("# ViDoRe: The Visual Document Retrieval Benchmark πŸ“šπŸ”")
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- gr.Markdown("## From the paper - ColPali: Efficient Document Retrieval with Vision Language Models πŸ‘€")
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  gr.Markdown(
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  """
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- Visual Document Retrieval Benchmark leaderboard. To submit, refer to the corresponding tab.
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  Refer to the [ColPali paper](https://arxiv.org/abs/XXXX.XXXXX) for details on metrics, tasks and models.
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  """
@@ -116,10 +116,10 @@ def main():
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  To submit a new model to the ViDoRe leaderboard, follow these steps:
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  1. **Evaluate your model**:
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- - You can either follow the evaluation script provided in the [ViDoRe GitHub repository](https://github.com/tonywu71/vidore-benchmark/)
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  2. **Format your submission file**:
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- - The submission file should be named `results.json` and, therefore, in JSON format with the following structure :
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  ```json
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  {
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  "dataset_name_1": {
@@ -137,10 +137,10 @@ def main():
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  - The dataset names should be the same as the ViDoRe dataset names listed in the following collection: [ViDoRe Benchmark](https://huggingface.co/collections/vidore/vidore-benchmark-667173f98e70a1c0fa4db00d).
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  3. **Submit your model**:
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- - Create a huggingface model repository with your model and the submission file.
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- - Add the tag `vidore` to your model.
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- And you're done! Your model will appear on the leaderboard!
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  """
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  )
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  with gr.Tabs():
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  with gr.TabItem("πŸ† Leaderboard"):
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  gr.Markdown("# ViDoRe: The Visual Document Retrieval Benchmark πŸ“šπŸ”")
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+ gr.Markdown("### From the paper - ColPali: Efficient Document Retrieval with Vision Language Models πŸ‘€")
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  gr.Markdown(
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  """
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+ Visual Document Retrieval Benchmark leaderboard. To submit results, refer to the corresponding tab.
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  Refer to the [ColPali paper](https://arxiv.org/abs/XXXX.XXXXX) for details on metrics, tasks and models.
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  """
 
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  To submit a new model to the ViDoRe leaderboard, follow these steps:
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  1. **Evaluate your model**:
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+ - Follow the evaluation script provided in the [ViDoRe GitHub repository](https://github.com/tonywu71/vidore-benchmark/)
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  2. **Format your submission file**:
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+ - The submission file should automatically be generated, and named `results.json` with the following structure:
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  ```json
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  {
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  "dataset_name_1": {
 
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  - The dataset names should be the same as the ViDoRe dataset names listed in the following collection: [ViDoRe Benchmark](https://huggingface.co/collections/vidore/vidore-benchmark-667173f98e70a1c0fa4db00d).
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  3. **Submit your model**:
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+ - Create a public HuggingFace model repository with your model.
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+ - Add the tag `vidore` to your model in the metadata of the model card and place the `results.json` file at the root.
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+ 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.
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  """
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  )
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