login to huggingface to be able to download the dataset

notebooks/template-audio.ipynb

@@ -10,38 +10,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[codecarbon WARNING @ 19:48:07] Multiple instances of codecarbon are allowed to run at the same time.\n",
-      "[codecarbon INFO @ 19:48:07] [setup] RAM Tracking...\n",
-      "[codecarbon INFO @ 19:48:07] [setup] CPU Tracking...\n",
-      "[codecarbon WARNING @ 19:48:09] We saw that you have a 13th Gen Intel(R) Core(TM) i7-1365U but we don't know it. Please contact us.\n",
-      "[codecarbon WARNING @ 19:48:09] No CPU tracking mode found. Falling back on CPU constant mode. \n",
-      " Windows OS detected: Please install Intel Power Gadget to measure CPU\n",
-      "\n",
-      "[codecarbon WARNING @ 19:48:11] We saw that you have a 13th Gen Intel(R) Core(TM) i7-1365U but we don't know it. Please contact us.\n",
-      "[codecarbon INFO @ 19:48:11] CPU Model on constant consumption mode: 13th Gen Intel(R) Core(TM) i7-1365U\n",
-      "[codecarbon WARNING @ 19:48:11] No CPU tracking mode found. Falling back on CPU constant mode.\n",
-      "[codecarbon INFO @ 19:48:11] [setup] GPU Tracking...\n",
-      "[codecarbon INFO @ 19:48:11] No GPU found.\n",
-      "[codecarbon INFO @ 19:48:11] >>> Tracker's metadata:\n",
-      "[codecarbon INFO @ 19:48:11]   Platform system: Windows-11-10.0.22631-SP0\n",
-      "[codecarbon INFO @ 19:48:11]   Python version: 3.12.7\n",
-      "[codecarbon INFO @ 19:48:11]   CodeCarbon version: 3.0.0_rc0\n",
-      "[codecarbon INFO @ 19:48:11]   Available RAM : 31.347 GB\n",
-      "[codecarbon INFO @ 19:48:11]   CPU count: 12\n",
-      "[codecarbon INFO @ 19:48:11]   CPU model: 13th Gen Intel(R) Core(TM) i7-1365U\n",
-      "[codecarbon INFO @ 19:48:11]   GPU count: None\n",
-      "[codecarbon INFO @ 19:48:11]   GPU model: None\n",
-      "[codecarbon INFO @ 19:48:11] Saving emissions data to file c:\\git\\submission-template\\notebooks\\emissions.csv\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from fastapi import APIRouter\n",
     "from datetime import datetime\n",
@@ -63,6 +34,16 @@
     "}"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from huggingface_hub import login\n",
+    "login()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -72,75 +53,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "668da7bf85434e098b95c3ec447d78fe",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "README.md:   0%|          | 0.00/5.18k [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "c:\\Users\\theo.alvesdacosta\\AppData\\Local\\anaconda3\\Lib\\site-packages\\huggingface_hub\\file_download.py:139: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\\Users\\theo.alvesdacosta\\.cache\\huggingface\\hub\\datasets--QuotaClimat--frugalaichallenge-text-train. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.\n",
-      "To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development\n",
-      "  warnings.warn(message)\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5b68d43359eb429395da8be7d4b15556",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "train.parquet:   0%|          | 0.00/1.21M [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "140a304773914e9db8f698eabeb40298",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Generating train split:   0%|          | 0/6091 [00:00<?, ? examples/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6d04e8ab1906400e8e0029949dc523a5",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Map:   0%|          | 0/6091 [00:00<?, ? examples/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "request = AudioEvaluationRequest()\n",
     "\n",
@@ -152,6 +67,15 @@
     "test_dataset = train_test[\"test\"]"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train_test.shape"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -161,7 +85,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -172,1020 +96,9 @@
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-       " ...]"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "#--------------------------------------------------------------------------------------------\n",
@@ -1206,31 +119,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[codecarbon WARNING @ 19:53:32] Background scheduler didn't run for a long period (47s), results might be inaccurate\n",
-      "[codecarbon INFO @ 19:53:32] Energy consumed for RAM : 0.000156 kWh. RAM Power : 11.755242347717285 W\n",
-      "[codecarbon INFO @ 19:53:32] Delta energy consumed for CPU with constant : 0.000564 kWh, power : 42.5 W\n",
-      "[codecarbon INFO @ 19:53:32] Energy consumed for All CPU : 0.000564 kWh\n",
-      "[codecarbon INFO @ 19:53:32] 0.000720 kWh of electricity used since the beginning.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "EmissionsData(timestamp='2025-01-21T19:53:32', project_name='codecarbon', run_id='908f2e7e-4bb2-4991-a0f6-56bf8d7eda21', experiment_id='5b0fa12a-3dd7-45bb-9766-cc326314d9f1', duration=47.736408500000834, emissions=4.032368007471064e-05, emissions_rate=8.444466886328872e-07, cpu_power=42.5, gpu_power=0.0, ram_power=11.755242347717285, cpu_energy=0.0005636615353475565, gpu_energy=0, ram_energy=0.00015590305493261682, energy_consumed=0.0007195645902801733, country_name='France', country_iso_code='FRA', region='île-de-france', cloud_provider='', cloud_region='', os='Windows-11-10.0.22631-SP0', python_version='3.12.7', codecarbon_version='3.0.0_rc0', cpu_count=12, cpu_model='13th Gen Intel(R) Core(TM) i7-1365U', gpu_count=None, gpu_model=None, longitude=2.3494, latitude=48.8558, ram_total_size=31.347312927246094, tracking_mode='machine', on_cloud='N', pue=1.0)"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Stop tracking emissions\n",
     "emissions_data = tracker.stop_task()\n",
@@ -1239,20 +130,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.10090237899917966"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Calculate accuracy\n",
     "accuracy = accuracy_score(true_labels, predictions)\n",
@@ -1261,53 +141,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'submission_timestamp': '2025-01-21T19:53:46.639165',\n",
-       " 'accuracy': 0.10090237899917966,\n",
-       " 'energy_consumed_wh': 0.7195645902801733,\n",
-       " 'emissions_gco2eq': 0.040323680074710634,\n",
-       " 'emissions_data': {'run_id': '908f2e7e-4bb2-4991-a0f6-56bf8d7eda21',\n",
-       "  'duration': 47.736408500000834,\n",
-       "  'emissions': 4.032368007471064e-05,\n",
-       "  'emissions_rate': 8.444466886328872e-07,\n",
-       "  'cpu_power': 42.5,\n",
-       "  'gpu_power': 0.0,\n",
-       "  'ram_power': 11.755242347717285,\n",
-       "  'cpu_energy': 0.0005636615353475565,\n",
-       "  'gpu_energy': 0,\n",
-       "  'ram_energy': 0.00015590305493261682,\n",
-       "  'energy_consumed': 0.0007195645902801733,\n",
-       "  'country_name': 'France',\n",
-       "  'country_iso_code': 'FRA',\n",
-       "  'region': 'île-de-france',\n",
-       "  'cloud_provider': '',\n",
-       "  'cloud_region': '',\n",
-       "  'os': 'Windows-11-10.0.22631-SP0',\n",
-       "  'python_version': '3.12.7',\n",
-       "  'codecarbon_version': '3.0.0_rc0',\n",
-       "  'cpu_count': 12,\n",
-       "  'cpu_model': '13th Gen Intel(R) Core(TM) i7-1365U',\n",
-       "  'gpu_count': None,\n",
-       "  'gpu_model': None,\n",
-       "  'ram_total_size': 31.347312927246094,\n",
-       "  'tracking_mode': 'machine',\n",
-       "  'on_cloud': 'N',\n",
-       "  'pue': 1.0},\n",
-       " 'dataset_config': {'dataset_name': 'QuotaClimat/frugalaichallenge-text-train',\n",
-       "  'test_size': 0.2,\n",
-       "  'test_seed': 42}}"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Prepare results dictionary\n",
     "results = {\n",
@@ -1325,11 +161,18 @@
     "\n",
     "results"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "base",
+   "display_name": "venv",
    "language": "python",
    "name": "python3"
   },
@@ -1343,7 +186,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.7"
+   "version": "3.9.6"
   }
  },
  "nbformat": 4,