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  1. README.md +12 -2
  2. script.py +2 -1
README.md CHANGED
@@ -1,4 +1,14 @@
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- # My Cool Submission 2025
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- This repo contains a submission to the [S23DR Challenge](https://huggingface.co/spaces/usm3d/S23DR) (part of the [USM3D](https://usm3d.github.io/) workshop at CVPR2025). It was prepared by [jacklangerman](https://huggingface.co/jacklangerman).
 
 
 
 
 
 
 
 
 
 
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+ # Empty solution example for the S23DR competition
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+ This repo provides a minimalistic example of a valid, but empty submission to S23DR competition.
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+ We recommend you take a look at [this example](https://huggingface.co/usm3d/handcrafted_baseline_submission),
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+ which implements some primitive algorithms and provides useful I/O and visualization functions.
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+
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+ This example seeks to simply provide minimal code which succeeds at reading the dataset and producing a solution (in this case two vertices at the origin and edge of zero length connecting them).
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+
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+ `script.py` - is the main file which is run by the competition space. It should produce `submission.parquet` as the result of the run. Please see the additional comments in the `script.py` file.
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+
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+ ---
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+ license: apache-2.0
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+ ---
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script.py CHANGED
@@ -56,13 +56,14 @@ if __name__ == "__main__":
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  data_path = data_path_local
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  print(data_path)
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- print([str(p) for p in data_path.rglob('*validation*.(arrow|tar)')])
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  # dataset = load_dataset(params['dataset'], trust_remote_code=True, use_auth_token=params['token'])
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  data_files = {
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  "validation": [str(p) for p in [*data_path.rglob('*validation*.arrow')]+[*data_path.rglob('*validation*.tar')]],
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  "test": [str(p) for p in [*data_path.rglob('*test*.arrow')]+[*data_path.rglob('*test*.tar')]],
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  }
 
 
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  try:
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  dataset = load_dataset(
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  "arrow",
 
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  data_path = data_path_local
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  print(data_path)
 
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  # dataset = load_dataset(params['dataset'], trust_remote_code=True, use_auth_token=params['token'])
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  data_files = {
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  "validation": [str(p) for p in [*data_path.rglob('*validation*.arrow')]+[*data_path.rglob('*validation*.tar')]],
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  "test": [str(p) for p in [*data_path.rglob('*test*.arrow')]+[*data_path.rglob('*test*.tar')]],
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  }
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+ print(data_files)
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+
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  try:
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  dataset = load_dataset(
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  "arrow",