diff --git "a/example_notebook.ipynb" "b/example_notebook.ipynb"
--- "a/example_notebook.ipynb"
+++ "b/example_notebook.ipynb"
@@ -10,10 +10,10 @@
         "# Example Submission for S23DR Challenge\n",
         "\n",
         "### Helpful Links\n",
-        "[Challenge Page](https://huggingface.co/spaces/usm3d/S23DR)  \n",
+        "[Challenge Page](https://huggingface.co/spaces/usm3d/S23DR2025)  \n",
         "[Workshop Page](usm3d.github.io)  \n",
         "\n",
-        "[HoHo Train Set](https://huggingface.co/datasets/usm3d/hoho-train-set)  \n",
+        "[HoHo Train Set]([https://huggingface.co/datasets/usm3d/hoho-train-set](https://huggingface.co/datasets/usm3d/hoho25k))  \n",
         "[Handcrafted Baseline Solution](https://huggingface.co/usm3d/handcrafted_baseline_submission)\n"
       ]
     },
@@ -26,7 +26,7 @@
       "source": [
         "## Setup\n",
         "\n",
-        "We'll start by checking if we are running to Google Colab (and if we are setting `IN_COLAB = True` and installing the [hoho tools](https://huggingface.co/usm3d/tools))."
+        "We'll start by checking if we are running to Google Colab (and if we are setting `IN_COLAB = True`."
       ]
     },
     {
@@ -40,91 +40,13 @@
         "id": "ItDDqoXop8bb",
         "outputId": "30e9ecff-d680-47c8-aa5c-70c2b4d3012f"
       },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Collecting git+http://hf.co/usm3d/tools.git\n",
-            "  Cloning http://hf.co/usm3d/tools.git to /tmp/pip-req-build-_f80x0lx\n",
-            "  Running command git clone --filter=blob:none --quiet http://hf.co/usm3d/tools.git /tmp/pip-req-build-_f80x0lx\n",
-            "  warning: redirecting to https://huggingface.co/usm3d/tools.git/\n",
-            "  Resolved http://hf.co/usm3d/tools.git to commit edc78606eec1fe10e90d8f6cb834a24395b95f94\n",
-            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
-            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from hoho==0.0.2) (1.25.2)\n",
-            "Requirement already satisfied: pillow in /usr/local/lib/python3.10/dist-packages (from hoho==0.0.2) (9.4.0)\n",
-            "Collecting webdataset (from hoho==0.0.2)\n",
-            "  Downloading webdataset-0.2.86-py3-none-any.whl (70 kB)\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m70.4/70.4 kB\u001b[0m \u001b[31m474.0 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[?25hCollecting trimesh (from hoho==0.0.2)\n",
-            "  Downloading trimesh-4.3.2-py3-none-any.whl (693 kB)\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m693.9/693.9 kB\u001b[0m \u001b[31m7.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[?25hRequirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from hoho==0.0.2) (1.11.4)\n",
-            "Collecting datasets (from hoho==0.0.2)\n",
-            "  Downloading datasets-2.19.0-py3-none-any.whl (542 kB)\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m542.0/542.0 kB\u001b[0m \u001b[31m11.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from datasets->hoho==0.0.2) (3.13.4)\n",
-            "Requirement already satisfied: pyarrow>=12.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets->hoho==0.0.2) (14.0.2)\n",
-            "Requirement already satisfied: pyarrow-hotfix in /usr/local/lib/python3.10/dist-packages (from datasets->hoho==0.0.2) (0.6)\n",
-            "Collecting dill<0.3.9,>=0.3.0 (from datasets->hoho==0.0.2)\n",
-            "  Downloading dill-0.3.8-py3-none-any.whl (116 kB)\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m116.3/116.3 kB\u001b[0m \u001b[31m5.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[?25hRequirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from datasets->hoho==0.0.2) (2.0.3)\n",
-            "Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.10/dist-packages (from datasets->hoho==0.0.2) (2.31.0)\n",
-            "Requirement already satisfied: tqdm>=4.62.1 in /usr/local/lib/python3.10/dist-packages (from datasets->hoho==0.0.2) (4.66.2)\n",
-            "Collecting xxhash (from datasets->hoho==0.0.2)\n",
-            "  Downloading xxhash-3.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (194 kB)\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m194.1/194.1 kB\u001b[0m \u001b[31m5.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[?25hCollecting multiprocess (from datasets->hoho==0.0.2)\n",
-            "  Downloading multiprocess-0.70.16-py310-none-any.whl (134 kB)\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.8/134.8 kB\u001b[0m \u001b[31m5.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[?25hRequirement already satisfied: fsspec[http]<=2024.3.1,>=2023.1.0 in /usr/local/lib/python3.10/dist-packages (from datasets->hoho==0.0.2) (2023.6.0)\n",
-            "Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from datasets->hoho==0.0.2) (3.9.5)\n",
-            "Collecting huggingface-hub>=0.21.2 (from datasets->hoho==0.0.2)\n",
-            "  Downloading huggingface_hub-0.22.2-py3-none-any.whl (388 kB)\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m388.9/388.9 kB\u001b[0m \u001b[31m12.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[?25hRequirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from datasets->hoho==0.0.2) (24.0)\n",
-            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from datasets->hoho==0.0.2) (6.0.1)\n",
-            "Collecting braceexpand (from webdataset->hoho==0.0.2)\n",
-            "  Downloading braceexpand-0.1.7-py2.py3-none-any.whl (5.9 kB)\n",
-            "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets->hoho==0.0.2) (1.3.1)\n",
-            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets->hoho==0.0.2) (23.2.0)\n",
-            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets->hoho==0.0.2) (1.4.1)\n",
-            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets->hoho==0.0.2) (6.0.5)\n",
-            "Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets->hoho==0.0.2) (1.9.4)\n",
-            "Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets->hoho==0.0.2) (4.0.3)\n",
-            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.21.2->datasets->hoho==0.0.2) (4.11.0)\n",
-            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->datasets->hoho==0.0.2) (3.3.2)\n",
-            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->datasets->hoho==0.0.2) (3.7)\n",
-            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->datasets->hoho==0.0.2) (2.0.7)\n",
-            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->datasets->hoho==0.0.2) (2024.2.2)\n",
-            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets->hoho==0.0.2) (2.8.2)\n",
-            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets->hoho==0.0.2) (2023.4)\n",
-            "Requirement already satisfied: tzdata>=2022.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets->hoho==0.0.2) (2024.1)\n",
-            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas->datasets->hoho==0.0.2) (1.16.0)\n",
-            "Building wheels for collected packages: hoho\n",
-            "  Building wheel for hoho (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
-            "  Created wheel for hoho: filename=hoho-0.0.2-py3-none-any.whl size=19721 sha256=9393a7dad2e567f92d08d54a6c0c969ec51d994fafbe4a4c5661c1bb8224f81f\n",
-            "  Stored in directory: /tmp/pip-ephem-wheel-cache-8jti94yk/wheels/d3/de/c1/ac1615d96ac4623ed9c567bfa6301ed76edb6a75261fb9d292\n",
-            "Successfully built hoho\n",
-            "Installing collected packages: braceexpand, xxhash, webdataset, trimesh, dill, multiprocess, huggingface-hub, datasets, hoho\n",
-            "  Attempting uninstall: huggingface-hub\n",
-            "    Found existing installation: huggingface-hub 0.20.3\n",
-            "    Uninstalling huggingface-hub-0.20.3:\n",
-            "      Successfully uninstalled huggingface-hub-0.20.3\n",
-            "Successfully installed braceexpand-0.1.7 datasets-2.19.0 dill-0.3.8 hoho-0.0.2 huggingface-hub-0.22.2 multiprocess-0.70.16 trimesh-4.3.2 webdataset-0.2.86 xxhash-3.4.1\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "try:\n",
         "  import google.colab\n",
         "  IN_COLAB = True\n",
         "except:\n",
-        "  IN_COLAB = False\n",
-        "\n",
-        "if IN_COLAB:\n",
-        "    !pip install git+http://hf.co/usm3d/tools.git"
+        "  IN_COLAB = False\n"
       ]
     },
     {
@@ -173,63 +95,28 @@
     },
     {
       "cell_type": "code",
-      "source": [],
+      "execution_count": 2,
+      "id": "RGxnc7-zSUd2",
       "metadata": {
         "id": "RGxnc7-zSUd2"
       },
-      "id": "RGxnc7-zSUd2",
-      "execution_count": 2,
-      "outputs": []
+      "outputs": [],
+      "source": []
     },
     {
       "cell_type": "markdown",
-      "source": [
-        "Now that we are logged in, let's create a repo for our solution"
-      ],
+      "id": "hx857th3Ne1Z",
       "metadata": {
         "id": "hx857th3Ne1Z"
       },
-      "id": "hx857th3Ne1Z"
+      "source": [
+        "Now that we are logged in, let's create a repo for our solution"
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "from huggingface_hub import HfApi\n",
-        "from pathlib import Path\n",
-        "\n",
-        "hf_api = HfApi()\n",
-        "\n",
-        "submission_name = 'my_cool_submission'\n",
-        "\n",
-        "# Set the repository IDs\n",
-        "source_repo_id = \"usm3d/empty_submission\"\n",
-        "target_repo_id = f\"{hf_api.whoami()['name']}/{submission_name}\"\n",
-        "upstream = Path('upstream')\n",
-        "upstream.mkdir(exist_ok=True)\n",
-        "\n",
-        "# Download the source repository locally\n",
-        "local_dir = hf_api.snapshot_download(repo_id=source_repo_id, local_dir=upstream, local_dir_use_symlinks=False)\n",
-        "print(local_dir)\n",
-        "\n",
-        "# Create a new repository in the user's account\n",
-        "new_repo = hf_api.create_repo(repo_id=target_repo_id, exist_ok=True)\n",
-        "print(new_repo)\n",
-        "\n",
-        "# Upload the files to the new repository\n",
-        "operations = [\n",
-        "    hf_api.upload_folder(\n",
-        "        folder_path=upstream,\n",
-        "        path_in_repo=\".\",\n",
-        "        repo_id=target_repo_id,\n",
-        "    )\n",
-        "]\n",
-        "print(operations)\n",
-        "\n",
-        "# Download the new repo\n",
-        "my_cool_submission = hf_api.snapshot_download(repo_id=target_repo_id, local_dir=submission_name, local_dir_use_symlinks=False)\n",
-        "print(my_cool_submission)\n",
-        "\n"
-      ],
+      "execution_count": 3,
+      "id": "U0J1w3kCZqMD",
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -350,180 +237,112 @@
         "id": "U0J1w3kCZqMD",
         "outputId": "fd1c125d-9e41-4952-8f1e-367034c147d9"
       },
-      "id": "U0J1w3kCZqMD",
-      "execution_count": 3,
       "outputs": [
         {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "Fetching 4 files:   0%|          | 0/4 [00:00<?, ?it/s]"
-            ],
-            "application/vnd.jupyter.widget-view+json": {
-              "version_major": 2,
-              "version_minor": 0,
-              "model_id": "371d268543fe43ae93b06cbc999729b4"
-            }
-          },
-          "metadata": {}
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "README.md:   0%|          | 0.00/779 [00:00<?, ?B/s]"
-            ],
-            "application/vnd.jupyter.widget-view+json": {
-              "version_major": 2,
-              "version_minor": 0,
-              "model_id": "35f81a95e326492ebfdb5760bb99c2bb"
-            }
-          },
-          "metadata": {}
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "script.py:   0%|          | 0.00/2.32k [00:00<?, ?B/s]"
-            ],
-            "application/vnd.jupyter.widget-view+json": {
-              "version_major": 2,
-              "version_minor": 0,
-              "model_id": "61b14c90d09e4b86995f4d5a24818df3"
-            }
-          },
-          "metadata": {}
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "/opt/homebrew/Caskroom/miniforge/base/envs/s23dr/lib/python3.10/site-packages/huggingface_hub/file_download.py:832: UserWarning: `local_dir_use_symlinks` parameter is deprecated and will be ignored. The process to download files to a local folder has been updated and do not rely on symlinks anymore. You only need to pass a destination folder as`local_dir`.\n",
+            "For more details, check out https://huggingface.co/docs/huggingface_hub/main/en/guides/download#download-files-to-local-folder.\n",
+            "  warnings.warn(\n"
+          ]
         },
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "example_notebook.ipynb:   0%|          | 0.00/105k [00:00<?, ?B/s]"
-            ],
             "application/vnd.jupyter.widget-view+json": {
+              "model_id": "fdc01982cce749e9b7a8dd868c86011e",
               "version_major": 2,
-              "version_minor": 0,
-              "model_id": "86ddef444dec48829aa1d32c73052954"
-            }
-          },
-          "metadata": {}
-        },
-        {
-          "output_type": "display_data",
-          "data": {
+              "version_minor": 0
+            },
             "text/plain": [
-              ".gitattributes:   0%|          | 0.00/1.52k [00:00<?, ?B/s]"
-            ],
-            "application/vnd.jupyter.widget-view+json": {
-              "version_major": 2,
-              "version_minor": 0,
-              "model_id": "ef181f3007994e26897f90472f3037cf"
-            }
+              "Fetching 4 files:   0%|          | 0/4 [00:00<?, ?it/s]"
+            ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
-            "/content/upstream\n",
-            "https://huggingface.co/jacklangerman/my_cool_submission\n"
+            "/Users/jack/dev/S23DR/2025/empty_submission/upstream\n",
+            "https://huggingface.co/jacklangerman/my_cool_submission_2025\n"
           ]
         },
         {
-          "output_type": "stream",
           "name": "stderr",
+          "output_type": "stream",
           "text": [
-            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/hf_api.py:3757: UserWarning: Warnings while validating metadata in README.md:\n",
+            "/opt/homebrew/Caskroom/miniforge/base/envs/s23dr/lib/python3.10/site-packages/huggingface_hub/hf_api.py:9234: UserWarning: Warnings while validating metadata in README.md:\n",
             "- empty or missing yaml metadata in repo card\n",
             "  warnings.warn(f\"Warnings while validating metadata in README.md:\\n{message}\")\n"
           ]
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
-            "[CommitInfo(commit_url='https://huggingface.co/jacklangerman/my_cool_submission/commit/cf2674657e323a780be31c0a904cc2c71e1183aa', commit_message='Upload folder using huggingface_hub', commit_description='', oid='cf2674657e323a780be31c0a904cc2c71e1183aa', pr_url=None, pr_revision=None, pr_num=None)]\n"
+            "[CommitInfo(commit_url='https://huggingface.co/jacklangerman/my_cool_submission_2025/commit/98d24bae0bf5655632bfdbb00a53f3c4fec50416', commit_message='Upload folder using huggingface_hub', commit_description='', oid='98d24bae0bf5655632bfdbb00a53f3c4fec50416', 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"
           ]
         },
         {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "Fetching 4 files:   0%|          | 0/4 [00:00<?, ?it/s]"
-            ],
-            "application/vnd.jupyter.widget-view+json": {
-              "version_major": 2,
-              "version_minor": 0,
-              "model_id": "a2df5b7d0eb843e7ba97536edfcbc27a"
-            }
-          },
-          "metadata": {}
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "example_notebook.ipynb:   0%|          | 0.00/105k [00:00<?, ?B/s]"
-            ],
-            "application/vnd.jupyter.widget-view+json": {
-              "version_major": 2,
-              "version_minor": 0,
-              "model_id": "67ac780ab3e740d58c356954574bc8ed"
-            }
-          },
-          "metadata": {}
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "README.md:   0%|          | 0.00/779 [00:00<?, ?B/s]"
-            ],
-            "application/vnd.jupyter.widget-view+json": {
-              "version_major": 2,
-              "version_minor": 0,
-              "model_id": "856c8f9c95be41a0b6ed8d4e7ce56c33"
-            }
-          },
-          "metadata": {}
-        },
-        {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "script.py:   0%|          | 0.00/2.32k [00:00<?, ?B/s]"
-            ],
             "application/vnd.jupyter.widget-view+json": {
+              "model_id": "ce2246fc31ae4aa083bb45cdf2f8478d",
               "version_major": 2,
-              "version_minor": 0,
-              "model_id": "d1569f95dc47437f9a398de19099f7fe"
-            }
-          },
-          "metadata": {}
-        },
-        {
-          "output_type": "display_data",
-          "data": {
+              "version_minor": 0
+            },
             "text/plain": [
-              ".gitattributes:   0%|          | 0.00/1.52k [00:00<?, ?B/s]"
-            ],
-            "application/vnd.jupyter.widget-view+json": {
-              "version_major": 2,
-              "version_minor": 0,
-              "model_id": "8d5daf08ceb84959a1d03ba6aa5c3dfd"
-            }
+              "Fetching 4 files:   0%|          | 0/4 [00:00<?, ?it/s]"
+            ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
-            "/content/my_cool_submission\n"
+            "/Users/jack/dev/S23DR/2025/empty_submission/my_cool_submission_2025\n"
           ]
         }
+      ],
+      "source": [
+        "from huggingface_hub import HfApi\n",
+        "from pathlib import Path\n",
+        "\n",
+        "hf_api = HfApi()\n",
+        "\n",
+        "submission_name = 'my_cool_submission_2025'\n",
+        "\n",
+        "# Set the repository IDs\n",
+        "source_repo_id = \"usm3d/empty_submission_2025\"\n",
+        "target_repo_id = f\"{hf_api.whoami()['name']}/{submission_name}\"\n",
+        "upstream = Path('upstream')\n",
+        "upstream.mkdir(exist_ok=True)\n",
+        "\n",
+        "# Download the source repository locally\n",
+        "local_dir = hf_api.snapshot_download(repo_id=source_repo_id, local_dir=upstream, local_dir_use_symlinks=False)\n",
+        "print(local_dir)\n",
+        "\n",
+        "# Create a new repository in the user's account\n",
+        "new_repo = hf_api.create_repo(repo_id=target_repo_id, exist_ok=True)\n",
+        "print(new_repo)\n",
+        "\n",
+        "# Upload the files to the new repository\n",
+        "operations = [\n",
+        "    hf_api.upload_folder(\n",
+        "        folder_path=upstream,\n",
+        "        path_in_repo=\".\",\n",
+        "        repo_id=target_repo_id,\n",
+        "    )\n",
+        "]\n",
+        "print(operations)\n",
+        "\n",
+        "# Download the new repo\n",
+        "my_cool_submission_2025 = hf_api.snapshot_download(repo_id=target_repo_id, local_dir=submission_name, local_dir_use_symlinks=False)\n",
+        "print(my_cool_submission_2025)\n",
+        "\n"
       ]
     },
     {
@@ -538,14 +357,8 @@
     },
     {
       "cell_type": "code",
-      "source": [
-        "# change directories into our submission folder\n",
-        "%cd $submission_name\n",
-        "\n",
-        "# update the readme\n",
-        "with open('README.md', 'w') as f:\n",
-        "    f.write(f\"# {' '.join(submission_name.split('_')).title()}\\n\\nThis repo contains a submission to the [S23DR Challenge](https://huggingface.co/spaces/usm3d/S23DR) (part of the [USM3D](https://usm3d.github.io/) workshop at CVPR2024). It was prepared by [{hf_api.whoami()['name']}](https://huggingface.co/{hf_api.whoami()['name']}).\\n\\n\")"
-      ],
+      "execution_count": 4,
+      "id": "NfxHRGClBYQE",
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -553,30 +366,48 @@
         "id": "NfxHRGClBYQE",
         "outputId": "b1ef8073-2e4e-4303-ce24-fbd01d3ff910"
       },
-      "id": "NfxHRGClBYQE",
-      "execution_count": 4,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "/Users/jack/dev/S23DR/2025/empty_submission/my_cool_submission_2025\n"
+          ]
+        },
+        {
+          "name": "stderr",
+          "output_type": "stream",
           "text": [
-            "/content/my_cool_submission\n"
+            "/opt/homebrew/Caskroom/miniforge/base/envs/s23dr/lib/python3.10/site-packages/IPython/core/magics/osm.py:417: UserWarning: This is now an optional IPython functionality, setting dhist requires you to install the `pickleshare` library.\n",
+            "  self.shell.db['dhist'] = compress_dhist(dhist)[-100:]\n"
           ]
         }
+      ],
+      "source": [
+        "# change directories into our submission folder\n",
+        "%cd $submission_name\n",
+        "\n",
+        "# update the readme\n",
+        "with open('README.md', 'w') as f:\n",
+        "    f.write(f\"# {' '.join(submission_name.split('_')).title()}\\n\\nThis 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 [{hf_api.whoami()['name']}](https://huggingface.co/{hf_api.whoami()['name']}).\\n\\n\")"
       ]
     },
     {
       "cell_type": "code",
-      "source": [],
+      "execution_count": 4,
+      "id": "viNhQ5JOBYbs",
       "metadata": {
         "id": "viNhQ5JOBYbs"
       },
-      "id": "viNhQ5JOBYbs",
-      "execution_count": 4,
-      "outputs": []
+      "outputs": [],
+      "source": []
     },
     {
       "cell_type": "markdown",
+      "id": "QbKlhw5p_t26",
+      "metadata": {
+        "id": "QbKlhw5p_t26"
+      },
       "source": [
         "## Edit the solution\n",
         "\n",
@@ -590,35 +421,22 @@
         "<img src='https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/open_script/step4.png' width=374 style=\"display: inline;\">\n",
         "\n",
         "**Once you get it open, edit `script.py`. Make sure to save your changes and upload them to your repo using the following snippet.**"
-      ],
-      "metadata": {
-        "id": "QbKlhw5p_t26"
-      },
-      "id": "QbKlhw5p_t26"
+      ]
     },
     {
       "cell_type": "code",
-      "source": [],
+      "execution_count": 4,
+      "id": "ZymO55T4HGSU",
       "metadata": {
         "id": "ZymO55T4HGSU"
       },
-      "id": "ZymO55T4HGSU",
-      "execution_count": 4,
-      "outputs": []
+      "outputs": [],
+      "source": []
     },
     {
       "cell_type": "code",
-      "source": [
-        "# Upload our changes to the solution\n",
-        "operations = [\n",
-        "    hf_api.upload_folder(\n",
-        "        folder_path='.',\n",
-        "        path_in_repo=\".\",\n",
-        "        repo_id=target_repo_id,\n",
-        "    )\n",
-        "]\n",
-        "print(operations)"
-      ],
+      "execution_count": 5,
+      "id": "4Y0eTe7M_vIJ",
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -626,36 +444,85 @@
         "id": "4Y0eTe7M_vIJ",
         "outputId": "c77b0e72-c47e-4b3b-b724-dcce4b911d42"
       },
-      "id": "4Y0eTe7M_vIJ",
-      "execution_count": 5,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
-            "[CommitInfo(commit_url='https://huggingface.co/jacklangerman/my_cool_submission/commit/72afb9f513105b77d82c549e0b3509ed7274e197', commit_message='Upload folder using huggingface_hub', commit_description='', oid='72afb9f513105b77d82c549e0b3509ed7274e197', pr_url=None, pr_revision=None, pr_num=None)]\n"
+            "[CommitInfo(commit_url='https://huggingface.co/jacklangerman/my_cool_submission_2025/commit/53a82f05b719430d96283f083f8cf8f164082afe', commit_message='Upload folder using huggingface_hub', commit_description='', oid='53a82f05b719430d96283f083f8cf8f164082afe', 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"
           ]
         }
+      ],
+      "source": [
+        "# Upload our changes to the solution\n",
+        "operations = [\n",
+        "    hf_api.upload_folder(\n",
+        "        folder_path='.',\n",
+        "        path_in_repo=\".\",\n",
+        "        repo_id=target_repo_id,\n",
+        "    )\n",
+        "]\n",
+        "print(operations)"
       ]
     },
     {
       "cell_type": "markdown",
-      "source": [
-        "## Submit your solution to the competition"
-      ],
+      "id": "Ig9wun5QYOQ_",
       "metadata": {
         "id": "Ig9wun5QYOQ_"
       },
-      "id": "Ig9wun5QYOQ_"
+      "source": [
+        "## Submit your solution to the competition"
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
+      "execution_count": 6,
+      "id": "Rf59SEZ6Cp4U",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        },
+        "id": "Rf59SEZ6Cp4U",
+        "outputId": "8379d6fa-42ea-4c98-fe83-7023216b2ed6"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/markdown": [
+              "\n",
+              "1. Follow this link to the competition space for the [S23DR Challenge](https://huggingface.co/spaces/usm3d/S23DR2025)\n",
+              "<br>\n",
+              "2. Login to Hugging Face. <br>\n",
+              "<img src=\"https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/submit_to_s23rd/login.png\" width=512>\n",
+              "<br>\n",
+              "\n",
+              "3. Click \"New submission\" <br>\n",
+              "<img src=\"https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/submit_to_s23rd/click_new_submission.png\" width=512>\n",
+              "<br>\n",
+              "\n",
+              "4. Enter in the repo_id of your submission ([jacklangerman/my_cool_submission_2025](https://huggingface.co/jacklangerman/my_cool_submission_2025))<br>\n",
+              "<br>\n",
+              "<img src=\"https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/submit_to_s23rd/name_and_desc.png\" width=512>\n",
+              "<br>\n",
+              "\n"
+            ],
+            "text/plain": [
+              "<IPython.core.display.Markdown object>"
+            ]
+          },
+          "execution_count": 6,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
         "from IPython.display import Markdown as md\n",
         "\n",
         "# Follow the instructions below\n",
         "md(f'''\n",
-        "1. Follow this link to the competition space for the [S23DR Challenge](https://huggingface.co/spaces/usm3d/S23DR)\n",
+        "1. Follow this link to the competition space for the [S23DR Challenge](https://huggingface.co/spaces/usm3d/S23DR2025)\n",
         "<br>\n",
         "2. Login to Hugging Face. <br>\n",
         "<img src=\"https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/submit_to_s23rd/login.png\" width=512>\n",
@@ -671,30 +538,15 @@
         "<br>\n",
         "\n",
         "''')"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 1000
-        },
-        "id": "Rf59SEZ6Cp4U",
-        "outputId": "8379d6fa-42ea-4c98-fe83-7023216b2ed6"
-      },
-      "id": "Rf59SEZ6Cp4U",
-      "execution_count": 6,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "<IPython.core.display.Markdown object>"
-            ],
-            "text/markdown": "\n1. Follow this link to the competition space for the [S23DR Challenge](https://huggingface.co/spaces/usm3d/S23DR)\n<br>\n2. Login to Hugging Face. <br>\n<img src=\"https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/submit_to_s23rd/login.png\" width=512>\n<br>\n\n3. Click \"New submission\" <br>\n<img src=\"https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/submit_to_s23rd/click_new_submission.png\" width=512>\n<br>\n\n4. Enter in the repo_id of your submission ([jacklangerman/my_cool_submission](https://huggingface.co/jacklangerman/my_cool_submission))<br>\n<br>\n<img src=\"https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/submit_to_s23rd/name_and_desc.png\" width=512>\n<br>\n\n"
-          },
-          "metadata": {},
-          "execution_count": 6
-        }
       ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "82508da3",
+      "metadata": {},
+      "outputs": [],
+      "source": []
     }
   ],
   "metadata": {
@@ -703,7 +555,7 @@
       "toc_visible": true
     },
     "kernelspec": {
-      "display_name": "Python 3 (ipykernel)",
+      "display_name": "s23dr",
       "language": "python",
       "name": "python3"
     },
@@ -717,57 +569,29 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.10.13"
+      "version": "3.10.16"
     },
     "widgets": {
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-          "model_name": "HBoxModel",
           "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
           "state": {
-            "_dom_classes": [],
             "_model_module": "@jupyter-widgets/controls",
             "_model_module_version": "1.5.0",
-            "_model_name": "HBoxModel",
+            "_model_name": "DescriptionStyleModel",
             "_view_count": null,
-            "_view_module": "@jupyter-widgets/controls",
-            "_view_module_version": "1.5.0",
-            "_view_name": "HBoxView",
-            "box_style": "",
-            "children": [
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-              "IPY_MODEL_1cd3560c9f7c4651b7045e5113a7e531",
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-            "layout": "IPY_MODEL_3f51fbbb39b64f4db186cce30d42454d"
+            "_view_module": "@jupyter-widgets/base",
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-            "_model_module": "@jupyter-widgets/controls",
-            "_model_module_version": "1.5.0",
-            "_model_name": "HTMLModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/controls",
-            "_view_module_version": "1.5.0",
-            "_view_name": "HTMLView",
-            "description": "",
-            "description_tooltip": null,
-            "layout": "IPY_MODEL_a847b87fa1f14beaaba86bbe118247f9",
-            "placeholder": "​",
-            "style": "IPY_MODEL_2a760134e6a0487bbf34402829ad1b65",
-            "value": "Fetching 4 files: 100%"
-          }
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@@ -780,39 +604,94 @@
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-            "layout": "IPY_MODEL_e181b84b4a7e4c2d87e0dd466e8f1b9a",
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             "max": 4,
             "min": 0,
             "orientation": "horizontal",
-            "style": "IPY_MODEL_ef69a3abf9a74a9e8d725be65ae9d88f",
+            "style": "IPY_MODEL_918970c0acf74cc49e6b04324993e0b3",
             "value": 4
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+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
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+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
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+            "right": null,
+            "top": null,
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             "_view_count": null,
             "_view_module": "@jupyter-widgets/controls",
             "_view_module_version": "1.5.0",
-            "_view_name": "HTMLView",
+            "_view_name": "ProgressView",
+            "bar_style": "success",
             "description": "",
             "description_tooltip": null,
-            "layout": "IPY_MODEL_07bb14de85784943ad6d3e5f78d93483",
-            "placeholder": "​",
-            "style": "IPY_MODEL_17542171eca64cd5a05814ab25eb4379",
-            "value": " 4/4 [00:00&lt;00:00,  1.52it/s]"
+            "layout": "IPY_MODEL_df0a31ce0b464bc1984ca9e58c02c6c5",
+            "max": 779,
+            "min": 0,
+            "orientation": "horizontal",
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+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_4d3984130b194a2ca48ee8f7f22d6f29",
+            "placeholder": "​",
+            "style": "IPY_MODEL_011959ed53cc474983f89fc4907d3c83",
+            "value": "example_notebook.ipynb: 100%"
+          }
         }
       }
     }
   },
   "nbformat": 4,
   "nbformat_minor": 5
-}
\ No newline at end of file
+}