diff --git "a/example_notebook.ipynb" "b/example_notebook.ipynb"
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-{"cells":[{"cell_type":"markdown","id":"Mq5iNIZ9xWxt","metadata":{"id":"Mq5iNIZ9xWxt"},"source":["# Example Submission for S23DR Challenge\n","\n","### Helpful Links\n","[Challenge Page](https://huggingface.co/spaces/usm3d/S23DR)  \n","[Workshop Page](usm3d.github.io)  \n","\n","[HoHo Train Set](https://huggingface.co/datasets/usm3d/hoho-train-set)  \n","[Handcrafted Baseline Solution](https://huggingface.co/usm3d/handcrafted_baseline_submission)\n"]},{"cell_type":"markdown","id":"dua8UJOoxiDi","metadata":{"id":"dua8UJOoxiDi"},"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))."]},{"cell_type":"code","execution_count":1,"id":"ItDDqoXop8bb","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ItDDqoXop8bb","outputId":"e05ad9d9-cd34-46bc-df5d-6c91bcd30cf6","executionInfo":{"status":"ok","timestamp":1714452318340,"user_tz":240,"elapsed":27497,"user":{"displayName":"Jack Langerman","userId":"09781760878184723424"}}},"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-j6lfpwgr\n","  Running command git clone --filter=blob:none --quiet http://hf.co/usm3d/tools.git /tmp/pip-req-build-j6lfpwgr\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 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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=212cd2bd9aa807da5bc2523e81be659f3bf475ac6c84be2df9415bb7db8fdece\n","  Stored in directory: /tmp/pip-ephem-wheel-cache-lk5prg74/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"]}],"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"]},{"cell_type":"markdown","id":"2tHX74Z-x1cU","metadata":{"id":"2tHX74Z-x1cU"},"source":["We need to be logged into HF for this to work because the training dataset is gated. If you haven't already please go to the [dastaset page](https://huggingface.co/datasets/usm3d/hoho-train-set) to agree to our terms and request access to the dataset."]},{"cell_type":"code","execution_count":2,"id":"zq_ljluLqzzv","metadata":{"id":"zq_ljluLqzzv","executionInfo":{"status":"ok","timestamp":1714452318978,"user_tz":240,"elapsed":643,"user":{"displayName":"Jack Langerman","userId":"09781760878184723424"}}},"outputs":[],"source":["import os\n","from pathlib import Path\n","\n","\n","if IN_COLAB:\n","    from google.colab import userdata\n","    hf_token = os.environ.get('HF_TOKEN')\n","    if hf_token is None:\n","        hf_home = os.environ.get('HF_HOME', '~/.cache/huggingface')\n","        token_path = (Path(hf_home) / 'token')\n","        if token_path.exists():\n","            with token_path.open() as f:\n","                hf_token = f.read()\n","        else:\n","            hf_token = userdata.get('HF_TOKEN')\n","    if hf_token is not None:\n","        os.environ['HF_TOKEN'] = hf_token\n","    else:\n","        !huggingface-cli login"]},{"cell_type":"code","source":[],"metadata":{"id":"RGxnc7-zSUd2","executionInfo":{"status":"ok","timestamp":1714452318978,"user_tz":240,"elapsed":2,"user":{"displayName":"Jack Langerman","userId":"09781760878184723424"}}},"id":"RGxnc7-zSUd2","execution_count":2,"outputs":[]},{"cell_type":"markdown","source":["Now that we are logged in, let's create a repo for our solution"],"metadata":{"id":"hx857th3Ne1Z"},"id":"hx857th3Ne1Z"},{"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"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":478,"referenced_widgets":["c710e106b78d48fba72ddf646389ed04","772db963d54048b8a5731ac46dc66108","d842d41db5d4443e8f84e9ece371b5e2","18b434ad3e264dccb1d3a6bc2ca2a44c","721aa92741c7446bb63f18be89d0b06c","10a4d0aaeb084bde84392748a6cf94d4","601b4e47f0984f60b16e92edad15f399","e6a95941e4334236b509e2740602282b","2bf7eb164d814da39e845cc810e0c6e3","fcb08c0bc7204137a3a865fbdd74f1c8","ff878a0cfc3c49a18965067d30953aa9","abea9e04ff0a4b8f94de6b57d6c1e910","77163de0845d40f884a6054cc4395b0c","0ad1e06be78e49cfbe4bcebf2096d490","18ca9923c52a4f1fa752b65eefb6c2e4","6002dc1dfed54423b354600b05463bf3","6fe1212d760f40f7ab56a0efd6892a6b","27fbb4cba4ac40ad8f39d7019dfa91a7","b81d5b9cd03a4d4c8ca6cf99661c3ced","0a0c642367ab4c4e97ebab052fc2e6c0","2e957076778d4163976d4a87efb6c27b","ff7b99ffcbbe402087654e45c33872de","285af1c25835478eaddbfe6f409fc58e","30b13108629c470890776ac101708e99","f391f9935d454deeb1873bb68d6d33b5","404850eab54d49bdafc229973ea5f439","a53a06de7d2446888b7a8c4a3d8e0f8e","f53d5e38a8034438a6fecd273a169e3b","c56e225b1bdd448fb904a9d8f2f49a9b","c30fadd696054a85b78aa68731cc7ab6","72363a43c6354397b75e2a1afb681532","4051821ed76e438181c90b87f4215b34","d769d5a388f84c6892af37bcb3f45d7c","0ff13f176fa7402f95678b3fb2783447","ca2fd125a4dd4be482133bfd021caa8c","f632690a764e4eb4b9b1f311eac123b8","b01e4005249a46728cb726dbeb586463","7353188ea2514d408923a4182c3bf525","e9ab79994f574579b9ca31912b01d808","a3e808e6c5014a5a972c1583fd501e85","e1cb197f8d0545508a4094f677c30dfe","cfd5b350581f494b88e861db63453b42","4b522599967b4ddba2b11d8002561b24","2ff7cbee5a1f411db974eab474f811ed","3eb6c8018fc14706b009f1df8f2dea00","050d19e326cb41348660d5a6d67bfe57","aac33d3d85084be4aebc8f4436a19a51","60cea387a9d04d439984667093d956e8","d01c5541737f448fb9f095a7508731d2","7fdec7a83f504e2b882ef52379314e08","3d270f901f334202a85406bef49576d9","c443e33f99764c50aae4ebf660f60686","8b93970233f04dbb8f7f4a34aeb264d2","b58a06a807f8431e933d79d3c6080e61","1027ae6f50ca4594bc3560b37bafb495","47f69711b02444bd9af85c8f9ca17095","9b2a99f2172f468dac504244032c0b8d","26721dfad2ab4a3db6199f4a9a30e595","bbc2d859b37741af91d229ef44fc98e2","766abdef67a54845b2c18a078ed1fae5","4bf296c4b060469984ff6f4e4cbbb5c3","c215874c7a194bc88d767448ca5fa336","526786c760614bbeb20282517422caf3","98a66d3233074ba6ada19a1a630e7e0b","666bcaa7aa0a4fe48ed3e0421fd5461a","53487e7967db4e4ab82b5de5cb373431","feefa5c5a17143dc98e2770d8952a5db","c151d0b782a3450b99818de0cd90758e","e4346ad43b294ad4a87411fde1bf7665","77280ea912f6491cba724577cd35bc76","e142394d10344fbb8400fed84775b9a9","d158691fef2c483aa4f85892728ba967","2ada4f17ccae4f1f8d2419617d44bdf7","e23e1e79aa3844348152b75183d94a05","13a3c5a9194f4e14a631e9532a28e45d","fa0a3edba52e43e28b055d46158f601d","6ff5c5ae7668435fbd126236420f1ff0","b0720acfd7784aa0be9df8519eb218c8","0b2a787f7fe54c4c95eaf2020fa54211","6a97ae750448428fbbfa2b0a6c9751aa","0faea59162f1433c95373f6f320efad1","d53880b512364451b33a20cb8fb3d2cf","f24d3506fd9e4a868a95b841d01752c4","6950ff9eef6b473aa49765a2896e0ad5","39070b41ac3b43ee8c2811cec8e8137d","4eddbb96df6b4319a84754e1a4905f8f","4c8a75218c084e0187e11906bc0fccec","58afd5d8adbe4b96b84a6f746ce1b523","2c606c7851624713a0cc2bfb20d8d542","9f2629e967c346b297fef041f4aa95ec","6c26c9cb3e0c4921bb7333b52f710454","a9d0d7d29a8c49e1b9995532094f1f01","6b336967f63f461b9ce8f083b31567d5","3ac6e60b3c0d44f0a29938cc96543bc6","6aa0917c604049c5aef97b9aeb154eac","5b0054bb2b7f487aa8cc767f806cdc62","d6848bce0e204dccb3ca99db25d7e4cb","b5893262d8f9444dad5d22f3a6fae7c6","9e52a4f1ae5042f78b8dd9b030d5b5c3","85a00b4159fc45dabb54e5cb15b87a2e","b5d7032384b34f7a9d00dac8c18aa0c7","8bbe4fa9af8744a9bc670c6c5fb6ec39","52a70585b3cf45cfaecf0a5a6c51835d","af73cbe1d1834f269f0eda616b777758","447f6931edec437db73c9ef7b5c66d9d","dd3ef53b3a65443b9c07cff6cbd7e139","ccc2947bb0d34f19a8582ac99c1cf30b","4231086d422648979f3a6e08365ed07a","fb499bf5fe9840369ae6d247dc286551","258f1782bdc84a41a5372f33a9a1adf2"]},"id":"U0J1w3kCZqMD","executionInfo":{"status":"ok","timestamp":1714452323248,"user_tz":240,"elapsed":4272,"user":{"displayName":"Jack Langerman","userId":"09781760878184723424"}},"outputId":"866a4304-8696-4521-a7d5-9b7e3b4fcef7"},"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":"c710e106b78d48fba72ddf646389ed04"}},"metadata":{}},{"output_type":"display_data","data":{"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":"abea9e04ff0a4b8f94de6b57d6c1e910"}},"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":"285af1c25835478eaddbfe6f409fc58e"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["example_notebook.ipynb:   0%|          | 0.00/48.7k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"0ff13f176fa7402f95678b3fb2783447"}},"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":"3eb6c8018fc14706b009f1df8f2dea00"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["/content/upstream\n","https://huggingface.co/jacklangerman/my_cool_submission\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/huggingface_hub/hf_api.py:3757: 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","text":["[CommitInfo(commit_url='https://huggingface.co/jacklangerman/my_cool_submission/commit/b4aff5061b2c1ae17a4497c46e49280a1adda703', commit_message='Upload folder using huggingface_hub', commit_description='', oid='b4aff5061b2c1ae17a4497c46e49280a1adda703', pr_url=None, 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":"47f69711b02444bd9af85c8f9ca17095"}},"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":"feefa5c5a17143dc98e2770d8952a5db"}},"metadata":{}},{"output_type":"display_data","data":{"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":"b0720acfd7784aa0be9df8519eb218c8"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["example_notebook.ipynb:   0%|          | 0.00/48.7k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"2c606c7851624713a0cc2bfb20d8d542"}},"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":"85a00b4159fc45dabb54e5cb15b87a2e"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["/content/my_cool_submission\n"]}]},{"cell_type":"code","execution_count":3,"id":"a4584502","metadata":{"id":"a4584502","executionInfo":{"status":"ok","timestamp":1714452323462,"user_tz":240,"elapsed":217,"user":{"displayName":"Jack Langerman","userId":"09781760878184723424"}}},"outputs":[],"source":[]},{"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\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"NfxHRGClBYQE","executionInfo":{"status":"ok","timestamp":1714452323462,"user_tz":240,"elapsed":6,"user":{"displayName":"Jack Langerman","userId":"09781760878184723424"}},"outputId":"ab2d8aa2-62e7-4922-b0ad-2899fa93cffa"},"id":"NfxHRGClBYQE","execution_count":4,"outputs":[{"output_type":"stream","name":"stdout","text":["/content/my_cool_submission\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"viNhQ5JOBYbs","executionInfo":{"status":"ok","timestamp":1714452323462,"user_tz":240,"elapsed":4,"user":{"displayName":"Jack Langerman","userId":"09781760878184723424"}}},"id":"viNhQ5JOBYbs","execution_count":4,"outputs":[]},{"cell_type":"markdown","source":["## Edit the solution\n","\n","**Now you can open up the example solution `script.py` and edit it with your cool ideas.**\n","\n","<br>\n","\n","<img src='https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/open_script/step1.png' width=374 style=\"display: inline;\">\n","<img src='https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/open_script/step2.png' width=374 style=\"display: inline;\">\n","<img src='https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/open_script/step3.png' width=374 style=\"display: inline;\">\n","<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":[],"metadata":{"id":"ZymO55T4HGSU","executionInfo":{"status":"ok","timestamp":1714452323462,"user_tz":240,"elapsed":4,"user":{"displayName":"Jack Langerman","userId":"09781760878184723424"}}},"id":"ZymO55T4HGSU","execution_count":4,"outputs":[]},{"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)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"4Y0eTe7M_vIJ","executionInfo":{"status":"ok","timestamp":1714452323463,"user_tz":240,"elapsed":5,"user":{"displayName":"Jack Langerman","userId":"09781760878184723424"}},"outputId":"e49c869c-9ee8-4298-c848-e0137a31be5b"},"id":"4Y0eTe7M_vIJ","execution_count":5,"outputs":[{"output_type":"stream","name":"stdout","text":["[CommitInfo(commit_url='https://huggingface.co/jacklangerman/my_cool_submission/commit/a10f1668aa1dab26e3cfdd8bccf533c776e6e0a8', commit_message='Upload folder using huggingface_hub', commit_description='', oid='a10f1668aa1dab26e3cfdd8bccf533c776e6e0a8', pr_url=None, pr_revision=None, pr_num=None)]\n"]}]},{"cell_type":"code","source":["# @title Submit your solution to the competition\n","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","<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 ([{hf_api.whoami()[\"name\"]}/{submission_name}](https://huggingface.co/{hf_api.whoami()[\"name\"]}/{submission_name}))<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":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"cellView":"form","id":"Rf59SEZ6Cp4U","executionInfo":{"status":"ok","timestamp":1714452323635,"user_tz":240,"elapsed":175,"user":{"displayName":"Jack Langerman","userId":"09781760878184723424"}},"outputId":"3473603f-0f68-4ed0-f95e-8001ffec7b66"},"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. 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\ No newline at end of file
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "id": "Mq5iNIZ9xWxt",
+      "metadata": {
+        "id": "Mq5iNIZ9xWxt"
+      },
+      "source": [
+        "# Example Submission for S23DR Challenge\n",
+        "\n",
+        "### Helpful Links\n",
+        "[Challenge Page](https://huggingface.co/spaces/usm3d/S23DR)  \n",
+        "[Workshop Page](usm3d.github.io)  \n",
+        "\n",
+        "[HoHo Train Set](https://huggingface.co/datasets/usm3d/hoho-train-set)  \n",
+        "[Handcrafted Baseline Solution](https://huggingface.co/usm3d/handcrafted_baseline_submission)\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "dua8UJOoxiDi",
+      "metadata": {
+        "id": "dua8UJOoxiDi"
+      },
+      "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))."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "id": "ItDDqoXop8bb",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "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"
+          ]
+        }
+      ],
+      "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"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "2tHX74Z-x1cU",
+      "metadata": {
+        "id": "2tHX74Z-x1cU"
+      },
+      "source": [
+        "We need to be logged into HF for this to work because the training dataset is gated. If you haven't already please go to the [dastaset page](https://huggingface.co/datasets/usm3d/hoho-train-set) to agree to our terms and request access to the dataset."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 2,
+      "id": "zq_ljluLqzzv",
+      "metadata": {
+        "id": "zq_ljluLqzzv"
+      },
+      "outputs": [],
+      "source": [
+        "import os\n",
+        "from pathlib import Path\n",
+        "\n",
+        "\n",
+        "if IN_COLAB:\n",
+        "    from google.colab import userdata\n",
+        "    hf_token = os.environ.get('HF_TOKEN')\n",
+        "    if hf_token is None:\n",
+        "        hf_home = os.environ.get('HF_HOME', '~/.cache/huggingface')\n",
+        "        token_path = (Path(hf_home) / 'token')\n",
+        "        if token_path.exists():\n",
+        "            with token_path.open() as f:\n",
+        "                hf_token = f.read()\n",
+        "        else:\n",
+        "            try:\n",
+        "                hf_token = userdata.get('HF_TOKEN')\n",
+        "            except (userdata.SecretNotFoundError, userdata.NotebookAccessError):\n",
+        "                print(\"If you would like you can save your HuggingFace token (called HF_TOKEN) as a secret in colab.\")\n",
+        "\n",
+        "    if hf_token is not None:\n",
+        "        os.environ['HF_TOKEN'] = hf_token\n",
+        "    else:\n",
+        "        !huggingface-cli login"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "RGxnc7-zSUd2"
+      },
+      "id": "RGxnc7-zSUd2",
+      "execution_count": 2,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Now that we are logged in, let's create a repo for our solution"
+      ],
+      "metadata": {
+        "id": "hx857th3Ne1Z"
+      },
+      "id": "hx857th3Ne1Z"
+    },
+    {
+      "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"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 478,
+          "referenced_widgets": [
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+        "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": {}
+        },
+        {
+          "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": "86ddef444dec48829aa1d32c73052954"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "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"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "/content/upstream\n",
+            "https://huggingface.co/jacklangerman/my_cool_submission\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/hf_api.py:3757: 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",
+          "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"
+          ]
+        },
+        {
+          "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]"
+            ],
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+              "version_minor": 0,
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+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "README.md:   0%|          | 0.00/779 [00:00<?, ?B/s]"
+            ],
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+            }
+          },
+          "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": "d1569f95dc47437f9a398de19099f7fe"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "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"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "/content/my_cool_submission\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 3,
+      "id": "a4584502",
+      "metadata": {
+        "id": "a4584502"
+      },
+      "outputs": [],
+      "source": []
+    },
+    {
+      "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\")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "NfxHRGClBYQE",
+        "outputId": "b1ef8073-2e4e-4303-ce24-fbd01d3ff910"
+      },
+      "id": "NfxHRGClBYQE",
+      "execution_count": 4,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "/content/my_cool_submission\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "viNhQ5JOBYbs"
+      },
+      "id": "viNhQ5JOBYbs",
+      "execution_count": 4,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Edit the solution\n",
+        "\n",
+        "**Now you can open up the example solution `script.py` and edit it with your cool ideas.**\n",
+        "\n",
+        "<br>\n",
+        "\n",
+        "<img src='https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/open_script/step1.png' width=374 style=\"display: inline;\">\n",
+        "<img src='https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/open_script/step2.png' width=374 style=\"display: inline;\">\n",
+        "<img src='https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/open_script/step3.png' width=374 style=\"display: inline;\">\n",
+        "<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": [],
+      "metadata": {
+        "id": "ZymO55T4HGSU"
+      },
+      "id": "ZymO55T4HGSU",
+      "execution_count": 4,
+      "outputs": []
+    },
+    {
+      "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)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "4Y0eTe7M_vIJ",
+        "outputId": "c77b0e72-c47e-4b3b-b724-dcce4b911d42"
+      },
+      "id": "4Y0eTe7M_vIJ",
+      "execution_count": 5,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "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"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Submit your solution to the competition"
+      ],
+      "metadata": {
+        "id": "Ig9wun5QYOQ_"
+      },
+      "id": "Ig9wun5QYOQ_"
+    },
+    {
+      "cell_type": "code",
+      "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",
+        "<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 ([{hf_api.whoami()[\"name\"]}/{submission_name}](https://huggingface.co/{hf_api.whoami()[\"name\"]}/{submission_name}))<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": {
+        "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
+        }
+      ]
+    }
+  ],
+  "metadata": {
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\ No newline at end of file