Upload folder using huggingface_hub

README.md

@@ -1,4 +1,14 @@
-# My Cool Submission 2025
+# Empty solution example for the S23DR competition
 
-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).
+This repo provides a minimalistic example of a valid, but empty submission to S23DR competition.
+We recommend you take a look at [this example](https://huggingface.co/usm3d/handcrafted_baseline_submission),
+which implements some primitive algorithms and provides useful I/O and visualization functions.
+
+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).
+
+`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. 
+
+---
+license: apache-2.0
+---
 

example_notebook.ipynb

@@ -250,7 +250,7 @@
         {
           "data": {
             "application/vnd.jupyter.widget-view+json": {
-              "model_id": "0b7bea2933d74220bab455bb971809bc",
+              "model_id": "67b9ae6f21eb44069613ea95954a2b8c",
               "version_major": 2,
               "version_minor": 0
             },
@@ -261,34 +261,6 @@
           "metadata": {},
           "output_type": "display_data"
         },
-        {
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "8dffbd36a87d42d2bdf8389614e9eeed",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "script.py:   0%|          | 0.00/2.19k [00:00<?, ?B/s]"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "927960c0868b4bcca687343a32651920",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "example_notebook.ipynb:   0%|          | 0.00/146k [00:00<?, ?B/s]"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
         {
           "name": "stdout",
           "output_type": "stream",
@@ -310,13 +282,13 @@
           "name": "stdout",
           "output_type": "stream",
           "text": [
-            "[CommitInfo(commit_url='https://huggingface.co/jacklangerman/my_cool_submission_2025/commit/6988e55d69119c4bad14db38038d4c8e1bba2ef2', commit_message='Upload folder using huggingface_hub', commit_description='', oid='6988e55d69119c4bad14db38038d4c8e1bba2ef2', pr_url=None, repo_url=RepoUrl('https://huggingface.co/jacklangerman/my_cool_submission_2025', endpoint='https://huggingface.co', repo_type='model', repo_id='jacklangerman/my_cool_submission_2025'), pr_revision=None, pr_num=None)]\n"
+            "[CommitInfo(commit_url='https://huggingface.co/jacklangerman/my_cool_submission_2025/commit/059581858b4c27783ab5104643f654bed60ace70', commit_message='Upload folder using huggingface_hub', commit_description='', oid='059581858b4c27783ab5104643f654bed60ace70', pr_url=None, repo_url=RepoUrl('https://huggingface.co/jacklangerman/my_cool_submission_2025', endpoint='https://huggingface.co', repo_type='model', repo_id='jacklangerman/my_cool_submission_2025'), pr_revision=None, pr_num=None)]\n"
           ]
         },
         {
           "data": {
             "application/vnd.jupyter.widget-view+json": {
-              "model_id": "a82220e4ee154b8cae653ecb7fa33b96",
+              "model_id": "79c2a30a825a4cca9f974c47a01f82ae",
               "version_major": 2,
               "version_minor": 0
             },
@@ -327,34 +299,6 @@
           "metadata": {},
           "output_type": "display_data"
         },
-        {
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "de35d2443a384224806a217628f01dd6",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "example_notebook.ipynb:   0%|          | 0.00/146k [00:00<?, ?B/s]"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "47ef820bf45e4f01af651b70ab3fcda6",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "script.py:   0%|          | 0.00/2.19k [00:00<?, ?B/s]"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
         {
           "name": "stdout",
           "output_type": "stream",
@@ -505,7 +449,7 @@
           "name": "stdout",
           "output_type": "stream",
           "text": [
-            "[CommitInfo(commit_url='https://huggingface.co/jacklangerman/my_cool_submission_2025/commit/a18b2d906e8e289479ee2875ed1410d3a778135c', commit_message='Upload folder using huggingface_hub', commit_description='', oid='a18b2d906e8e289479ee2875ed1410d3a778135c', pr_url=None, repo_url=RepoUrl('https://huggingface.co/jacklangerman/my_cool_submission_2025', endpoint='https://huggingface.co', repo_type='model', repo_id='jacklangerman/my_cool_submission_2025'), pr_revision=None, pr_num=None)]\n"
+            "[CommitInfo(commit_url='https://huggingface.co/jacklangerman/my_cool_submission_2025/commit/92c06f05f471e393440c232978e8c6b7036bc2c4', commit_message='Upload folder using huggingface_hub', commit_description='', oid='92c06f05f471e393440c232978e8c6b7036bc2c4', pr_url=None, repo_url=RepoUrl('https://huggingface.co/jacklangerman/my_cool_submission_2025', endpoint='https://huggingface.co', repo_type='model', repo_id='jacklangerman/my_cool_submission_2025'), pr_revision=None, pr_num=None)]\n"
           ]
         }
       ],

script.py

@@ -30,11 +30,16 @@ class Sample(Dict):
         # return str({k: v.shape if hasattr(v, 'shape') else [type(v[0])] if isinstance(v, list) else type(v) for k,v in self.items()})
         return str({k: self.pick_repr_data(v) for k,v in self.items()})
     
-
+import json
 if __name__ == "__main__":
     print ("------------ Loading dataset------------ ")
-    dataset = load_dataset("usm3d/hoho25k_test_x", trust_remote_code=True)
+    param_path = Path('params.json')
+    print(param_path)
+    with param_path.open() as f:
+        params = json.load(param_path)
+    print(params)
 
+    dataset = load_dataset("usm3d/hoho25k_test_x", trust_remote_code=True, use_auth_token=params['token'])
     
     print('------------ Now you can do your solution ---------------')
     solution = []