iwatobipen · May 11, 2025 09:31
diff --git a/auroris_demo.ipynb b/auroris_demo.ipynb
 {
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "de931a23-95f3-409d-992d-749acaa351b2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-11T09:07:47.444612Z",
     "iopub.status.busy": "2025-05-11T09:07:47.444411Z",
     "iopub.status.idle": "2025-05-11T09:07:48.037574Z",
     "shell.execute_reply": "2025-05-11T09:07:48.037277Z",
     "shell.execute_reply.started": "2025-05-11T09:07:47.444603Z"
    }
   },
   "outputs": [],
   "source": [
    "from rdkit.Chem.Draw import IPythonConsole\n",
    "from rdkit.Chem import PandasTools\n",
    "PandasTools.RenderImagesInAllDataFrames(images=True)\n",
    "\n",
    "import datamol as dm\n",
    "data = dm.data.solubility()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c0151467-3773-4dec-92f2-af56097e5ffe",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-11T09:07:48.037906Z",
     "iopub.status.busy": "2025-05-11T09:07:48.037810Z",
     "iopub.status.idle": "2025-05-11T09:07:50.736283Z",
     "shell.execute_reply": "2025-05-11T09:07:50.735912Z",
     "shell.execute_reply.started": "2025-05-11T09:07:48.037898Z"
    }
   },
   "outputs": [],
   "source": [
    "from auroris.curation import Curator\n",
    "from auroris.curation.actions import MoleculeCuration, OutlierDetection, Discretization\n",
    "\n",
    "# Define the curation workflow\n",
    "curator = Curator(\n",
    "    steps=[\n",
    "        MoleculeCuration(input_column=\"smiles\"),\n",
    "        OutlierDetection(method=\"zscore\", columns=[\"SOL\"]),\n",
    "        Discretization(input_column=\"SOL\", thresholds=[-3]),\n",
    "    ],\n",
    "    parallelized_kwargs={\"n_jobs\": -1},\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1d23c4d2-f4eb-4c44-a9c4-98abf4b6c591",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-11T09:07:50.736698Z",
     "iopub.status.busy": "2025-05-11T09:07:50.736570Z",
     "iopub.status.idle": "2025-05-11T09:07:50.762629Z",
     "shell.execute_reply": "2025-05-11T09:07:50.762431Z",
     "shell.execute_reply.started": "2025-05-11T09:07:50.736690Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mol</th>\n",
       "      <th>ID</th>\n",
       "      <th>NAME</th>\n",
       "      <th>SOL</th>\n",
       "      <th>SOL_classification</th>\n",
       "      <th>smiles</th>\n",
       "      <th>split</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>1</td>\n",
       "      <td>n-pentane</td>\n",
       "      <td>-3.18</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>CCCCC</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>2</td>\n",
       "      <td>cyclopentane</td>\n",
       "      <td>-2.64</td>\n",
       "      <td>(B) medium</td>\n",
       "      <td>C1CCCC1</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>3</td>\n",
       "      <td>n-hexane</td>\n",
       "      <td>-3.84</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>CCCCCC</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>4</td>\n",
       "      <td>2-methylpentane</td>\n",
       "      <td>-3.74</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>CCCC(C)C</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>6</td>\n",
       "      <td>2,2-dimethylbutane</td>\n",
       "      <td>-3.55</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>CCC(C)(C)C</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>7</td>\n",
       "      <td>cyclohexane</td>\n",
       "      <td>-3.10</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>C1CCCCC1</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>8</td>\n",
       "      <td>methylcyclopentane</td>\n",
       "      <td>-3.30</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>C1CCCC1C</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAIhklEQVR4nO3bSUwTbwPH8QERBUFEKy6IioI7KiqKC+4mKoYbxxpPJIaE6ImTabj1ZLgRjr0SEhNcE5QoRFlSCW4gggsqKpuoCIhAeQ+TNJM/i1DmB6/m+zlKZ+Yp853OPE8xaGRkxADsFjzbA8C/ibAgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnCggRhQYKwIEFYkCAsSBAWJAgLEoQFCcKCBGFBgrAgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnCggRhQYKwIEFYkCAsSBAWJAgLEoQFCcKCBGFBgrAgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnCggRhQYKwIEFYkCAsSBAWJAgLEoQFCcKCBGFBgrAgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnCgsTMhdXc3Nzd3T1jh7Nda2tra2vrbI8icN3d3c3NzTN2uJkIq76+PiYmJjEx0eFwnD9/fnh4eAYOaqOurq6UlJS4uLi4uLikpKS2trbZHtHU+Hy+ixcvOhwO8xTU1dXNxFFHlDo7O7Ozs0NCQqxHTE5OLi8vlx7XLkNDQwUFBQ6Hwzp+h8NRUFAwNDQ026OblPLy8uTkZOv4Q0JCsrOzOzs7pcdVhTU4OFhYWLh06VLznVy4cKGxsfHKlSvx8fHm2zt37tybN29ER7dFWVnZjh07zNGmpqYWFRVdu3btyJEj5r9s2rTp9u3bsz3GiXz48MHpdAYFBRmGERsbe/ny5aampkuXLoWGhhqGER0d7Xa7BwYGREeXhHXv3r2kpCTzBBw/fvzp06f+H/X19bnd7sjISMMwwsLCcnNzf/z4oRjDdLx//97pdJrjj4uL83g81p+WlJSsW7fOf3m8fv16tsY5nt7eXrfbHRERYRhGeHh4bm5uT0+P/6cvX748e/asOf6NGzfevHlTMQabw2pqasrMzDQHnZCQUFRUNObLPn786L+YVq5cWVhYODw8bO9IAvPz50+XyzV//nzzlLhcrv7+/tEvGxgYyM/PX7hwoWEYoaGhOTk5379/n/nRjubz+YqKitasWePv/u3bt2O+srS0dMuWLebLTp48+eLFC3tHYltY5imZN2+eYRgLFiwY75RY1dTU7N+/33xvKSkpDx8+tGswATBPyerVqw3DCAoKyszMbGlpmXiTT58+ZWVlBQcHG4axYsWKWb88vF7voUOHzN/nrl27/vgg+/v37/z8/KioKMMw5s6dm5OT8+3bN7sGY0NYPp/P4/EsX77cPCVOp/Pz58+BbTuZ06lQU1Nz4MAB85Ts2bNnSol7vd6DBw+a2+7evbuiokI3zvGYic+ZM8ecW+Tn509+btHZ2ZmTk2Nuu2TJkiltO4HphlVdXZ2ammr+Wvfu3fvo0aMAdmK9AU3y084ura2t/k+dgG/K1huQeXm8e/dOMdrRzE8d86ZsfuoEdlN+/PhxWlqajdP2wMOyPifFxsZ6PB6fzzedoUz8yGw78znJnEaYz0nTnEb09va6XK6wsDD/81lfX59dox1TSUnJ+vXr/Y9Tzc3N09/h2rVr//h8NhmBhGWddJgzO+ukY5rKysq2b99uvrdjx449efLErj1blZSUWBc+bJzZWSf5q1atmv71NqaGhoYzZ874Fz5u3bpl157Nabv15AZ2vU05LBujHs/w8LDH44mJiTEMIzg42Ol0trW12bXz2traw4cPm+PfvHnznTt37Nqz1f3793fu3GkeZd++fVVVVXbtuaurKycnx1xzjo6Ozs/PHxwctGvnftO/HU0hLOtteDKTjmn6+vVrbm6uuZq3aNGi6a/mWZ9SFy9ebNdT6njMy2PZsmX+y+PLly/T2aG55mx+DRASEpKVldXe3m7XaMdUXV1tnbZP6QF6UmF1dHQoJg6TYV3N27Bhw40bNwLYyeh5dXd3t+1DHVNPT49/FSYiIsLlcv369SuA/dy9e3e8NWepgKf8fwhr9KTDxqWOyfvPat7z58+ntO3WrVsD29Yur1698q8bJyYmjrdu/MdtJ1hzlgpg2j5RWF6vNyEhwXxLGRkZTU1Nto52agJYzWtsbExPT/d/2l2/fn1mhjqe0tLSbdu2meM5ceLEs2fPJn699dPOPJ2BfdrZpampKSMjw5+41+ud4MUThdXW1hYVFaX7OikAk1zN6+7u/s/z2eyeEr/Rz0kdHR2jXzb6+Wzya85q5hfBkZGREw/pD7fC2tpaxaRjmqwzu+Tk5AcPHvh/JJ1R2sWc2VmnEdZfclVVlXXNubKychaHOqbBwcHa2tqJX6P9eywp61pUWlpaRUXF1atX/feao0eP1tXVzfYYJ1JfX3/69Gn/ndrtdldWVqanp9u45jyL/uKwRkZG+vr68vLywsPDDYv4+Pji4uLZHtpkFRcX+y8PU3h4eF5ennrVXu3vDsvU0NBgrtkGBQWdOnVqxr5ntMvAwEBGRob/g2rGlhKkgkZGRox/QktLS1hYmPl09Tdqb2/v7+/3/ynV3+7fCQv/V/h/hZAgLEgQFiQICxKEBQnCggRhQYKwIEFYkCAsSBAWJAgLEoQFCcKCBGFBgrAgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnCggRhQYKwIEFYkCAsSBAWJAgLEoQFCcKCBGFBgrAgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnCggRhQYKwIEFYkCAsSBAWJAgLEoQFCcKCBGFBgrAgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnCggRhQYKwIEFYkCAsSBAWJAgLEoQFCcKCBGFBgrAg8T+QDNT3rPtGpgAAAI56VFh0cmRraXRQS0wgcmRraXQgMjAyNC4wOS42AAB4nHu/b+09BiAQAGImBghgB2I2IG5gZGNIANKMzBCaiYk4mpGZm4GRgZGJgYmZgZmFgYWVgZWNwQlksngcSJoBZk9sbqud3QtJOxAnLW2ZPQODgz2EreYAUzRrZqUDQnwZXJyB4QJc/IjTRweYOWIAAGAXj4Wr9twAAADoelRYdE1PTCByZGtpdCAyMDI0LjA5LjYAAHichZHNDoMgDMfvPkVfYE0BgXD0K8uyqMnmdt/BZLuYHXz/rDgd6hItNCnlR6F/usOzffePro3A2yU/v3r4mcwjztPGdM7BXRFRVIIPIC2OpwqyJkmnTFbfquYKFgyf4LEkk6Yup4yADAilIUPModCkhoAGCyclcwLVmEWrx2DNKeYkGlpt/3Excwrdbj3NnEa5W88wZ1Dv1rPMWdTKxdv9FlW+0OmrXFpXeVDODxkE4gWooINgj0O7gl2HrgS7CY8X7HZ+9/wmv55+l+PoA9eubdQ1ckZwAAAAXHpUWHRTTUlMRVMgcmRraXQgMjAyNC4wOS42AAB4nHN2BgOFGg0DPSMzAzMdAz1DUwNjHWtDPWMg29xUx9pIDyiqY22sZwkVMNUzAgmY6ZlCBcz1TI0tTWBaNWsA+asRa1ypNWgAAAAASUVORK5CYII=\" alt=\"Mol\"/></div></td>\n",
       "      <td>9</td>\n",
       "      <td>n-heptane</td>\n",
       "      <td>-4.53</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>CCCCCCC</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                mol  ID                NAME  \\\n",
       "0  <rdkit.Chem.rdchem.Mol object at 0x727ebf7de6c0>   1           n-pentane   \n",
       "1  <rdkit.Chem.rdchem.Mol object at 0x727ebf7de810>   2        cyclopentane   \n",
       "2  <rdkit.Chem.rdchem.Mol object at 0x727ebf7de880>   3            n-hexane   \n",
       "3  <rdkit.Chem.rdchem.Mol object at 0x727ebf7de8f0>   4     2-methylpentane   \n",
       "4  <rdkit.Chem.rdchem.Mol object at 0x727ebf7de960>   6  2,2-dimethylbutane   \n",
       "5  <rdkit.Chem.rdchem.Mol object at 0x727ebf7de9d0>   7         cyclohexane   \n",
       "6  <rdkit.Chem.rdchem.Mol object at 0x727ebf7dea40>   8  methylcyclopentane   \n",
       "7  <rdkit.Chem.rdchem.Mol object at 0x727ebf7deab0>   9           n-heptane   \n",
       "\n",
       "    SOL SOL_classification      smiles  split  \n",
       "0 -3.18            (A) low       CCCCC  train  \n",
       "1 -2.64         (B) medium     C1CCCC1  train  \n",
       "2 -3.84            (A) low      CCCCCC  train  \n",
       "3 -3.74            (A) low    CCCC(C)C  train  \n",
       "4 -3.55            (A) low  CCC(C)(C)C  train  \n",
       "5 -3.10            (A) low    C1CCCCC1  train  \n",
       "6 -3.30            (A) low    C1CCCC1C  train  \n",
       "7 -4.53            (A) low     CCCCCCC  train  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "97fc0007-668d-4644-b306-2822a5aee796",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-11T09:07:50.762951Z",
     "iopub.status.busy": "2025-05-11T09:07:50.762871Z",
     "iopub.status.idle": "2025-05-11T09:08:03.508055Z",
     "shell.execute_reply": "2025-05-11T09:08:03.507462Z",
     "shell.execute_reply.started": "2025-05-11T09:07:50.762944Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m2025-05-11 18:07:50.763\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mauroris.curation._curator\u001b[0m:\u001b[36mtransform\u001b[0m:\u001b[36m106\u001b[0m - \u001b[1mPerforming step: mol_curation\u001b[0m\n",
      "/home/iwatobipen/dev/dataprep/.venv/lib/python3.12/site-packages/sklearn/utils/deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
      "  warnings.warn(\n",
      "\u001b[32m2025-05-11 18:08:03.336\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mauroris.curation._curator\u001b[0m:\u001b[36mtransform\u001b[0m:\u001b[36m106\u001b[0m - \u001b[1mPerforming step: outlier_detection\u001b[0m\n",
      "\u001b[32m2025-05-11 18:08:03.390\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mauroris.curation._curator\u001b[0m:\u001b[36mtransform\u001b[0m:\u001b[36m106\u001b[0m - \u001b[1mPerforming step: discretize\u001b[0m\n",
      "/home/iwatobipen/dev/dataprep/.venv/lib/python3.12/site-packages/sklearn/utils/deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "dataset, report=curator(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4dacfe6f-0c2f-4f77-9a77-d8b4907cc778",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-11T09:08:03.508425Z",
     "iopub.status.busy": "2025-05-11T09:08:03.508334Z",
     "iopub.status.idle": "2025-05-11T09:08:03.511771Z",
     "shell.execute_reply": "2025-05-11T09:08:03.511315Z",
     "shell.execute_reply.started": "2025-05-11T09:08:03.508417Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CurationReport(title='Curation Report', sections=[Section(title='mol_curation', logs=[\"Couldn't preprocess 18 / 1282 molecules.\", 'New column added: MOL_smiles', 'New column added: MOL_molhash_id', 'New column added: MOL_molhash_id_no_stereo', 'New column added: MOL_num_stereoisomers', 'New column added: MOL_num_undefined_stereoisomers', 'New column added: MOL_num_defined_stereo_center', 'New column added: MOL_num_undefined_stereo_center', 'New column added: MOL_num_stereo_center', 'New column added: MOL_undefined_E_D', 'New column added: MOL_undefined_E/Z', 'Default `ecfp` fingerprint is used to visualize the chemical space.', 'Molecules with undefined stereocenter detected: 253.'], images=[AnnotatedImage(image=<PIL.Image.Image image mode=RGBA size=1200x600 at 0x727E755A0050>, title='Distribution in Chemical Space - ECFP', description=None), AnnotatedImage(image=<PIL.PngImagePlugin.PngImageFile image mode=RGB size=1200x2400 at 0x727E755CA2A0>, title='Molecules with undefined stereocenters', description=\"There are 253 molecules with undefined stereocenter(s). It's recommended to use <auroris.curation.action.StereoIsomerACDetection> and check the stereoisomers and activity cliffs in the dataset.\")]), Section(title='outlier_detection', logs=['New column added: OUTLIER_SOL', 'Found 7 potential outliers with respect to the SOL column for review.'], images=[AnnotatedImage(image=<PIL.Image.Image image mode=RGBA size=1200x600 at 0x727E755CA9F0>, title='Outlier detection - SOL', description=None)]), Section(title='discretize', logs=['New column added: CLS_SOL'], images=[AnnotatedImage(image=<PIL.Image.Image image mode=RGBA size=1200x600 at 0x727E76C1EFF0>, title='Data distribution - SOL', description=None)])], auroris_version='0.1.9', time_stamp=datetime.datetime(2025, 5, 11, 18, 7, 50, 763302))"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7874c4ac-cc4c-437e-9c05-43fd70b8a7c1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-11T09:08:03.514107Z",
     "iopub.status.busy": "2025-05-11T09:08:03.513821Z",
     "iopub.status.idle": "2025-05-11T09:08:03.621836Z",
     "shell.execute_reply": "2025-05-11T09:08:03.621476Z",
     "shell.execute_reply.started": "2025-05-11T09:08:03.514089Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[31;1m===== Curation Report =====\u001b[0m\n",
      "\u001b[38;20mTime: 2025-05-11 18:07:50\u001b[0m\n",
      "\u001b[38;20mVersion: 0.1.9\u001b[0m\n",
      "\u001b[34;1m===== mol_curation =====\u001b[0m\n",
      "\u001b[38;20m[LOG]: Couldn't preprocess 18 / 1282 molecules.\u001b[0m\n",
      "\u001b[38;20m[LOG]: New column added: MOL_smiles\u001b[0m\n",
      "\u001b[38;20m[LOG]: New column added: MOL_molhash_id\u001b[0m\n",
      "\u001b[38;20m[LOG]: New column added: MOL_molhash_id_no_stereo\u001b[0m\n",
      "\u001b[38;20m[LOG]: New column added: MOL_num_stereoisomers\u001b[0m\n",
      "\u001b[38;20m[LOG]: New column added: MOL_num_undefined_stereoisomers\u001b[0m\n",
      "\u001b[38;20m[LOG]: New column added: MOL_num_defined_stereo_center\u001b[0m\n",
      "\u001b[38;20m[LOG]: New column added: MOL_num_undefined_stereo_center\u001b[0m\n",
      "\u001b[38;20m[LOG]: New column added: MOL_num_stereo_center\u001b[0m\n",
      "\u001b[38;20m[LOG]: New column added: MOL_undefined_E_D\u001b[0m\n",
      "\u001b[38;20m[LOG]: New column added: MOL_undefined_E/Z\u001b[0m\n",
      "\u001b[38;20m[LOG]: Default `ecfp` fingerprint is used to visualize the chemical space.\u001b[0m\n",
      "\u001b[38;20m[LOG]: Molecules with undefined stereocenter detected: 253.\u001b[0m\n",
      "\u001b[38;20m[IMG]: Dimensions 1200 x 600\u001b[0m\n",
      "\u001b[38;20m[IMG]: Dimensions 1200 x 2400\u001b[0m\n",
      "\u001b[34;1m===== outlier_detection =====\u001b[0m\n",
      "\u001b[38;20m[LOG]: New column added: OUTLIER_SOL\u001b[0m\n",
      "\u001b[38;20m[LOG]: Found 7 potential outliers with respect to the SOL column for review.\u001b[0m\n",
      "\u001b[38;20m[IMG]: Dimensions 1200 x 600\u001b[0m\n",
      "\u001b[34;1m===== discretize =====\u001b[0m\n",
      "\u001b[38;20m[LOG]: New column added: CLS_SOL\u001b[0m\n",
      "\u001b[38;20m[IMG]: Dimensions 1200 x 600\u001b[0m\n",
      "\u001b[31;1m===== Curation Report END =====\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "from auroris.report.broadcaster import LoggerBroadcaster\n",
    "\n",
    "broadcaster = LoggerBroadcaster(report)\n",
    "broadcaster.broadcast()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3fdae149-9a0c-4f60-bf16-440c1c19958d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-11T09:08:03.622248Z",
     "iopub.status.busy": "2025-05-11T09:08:03.622098Z",
     "iopub.status.idle": "2025-05-11T09:08:03.624255Z",
     "shell.execute_reply": "2025-05-11T09:08:03.624055Z",
     "shell.execute_reply.started": "2025-05-11T09:08:03.622240Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CurationReport(title='Curation Report', sections=[Section(title='mol_curation', logs=[\"Couldn't preprocess 18 / 1282 molecules.\", 'New column added: MOL_smiles', 'New column added: MOL_molhash_id', 'New column added: MOL_molhash_id_no_stereo', 'New column added: MOL_num_stereoisomers', 'New column added: MOL_num_undefined_stereoisomers', 'New column added: MOL_num_defined_stereo_center', 'New column added: MOL_num_undefined_stereo_center', 'New column added: MOL_num_stereo_center', 'New column added: MOL_undefined_E_D', 'New column added: MOL_undefined_E/Z', 'Default `ecfp` fingerprint is used to visualize the chemical space.', 'Molecules with undefined stereocenter detected: 253.'], images=[AnnotatedImage(image=<PIL.Image.Image image mode=RGBA size=1200x600 at 0x727E755A0050>, title='Distribution in Chemical Space - ECFP', description=None), AnnotatedImage(image=<PIL.PngImagePlugin.PngImageFile image mode=RGB size=1200x2400 at 0x727E755CA2A0>, title='Molecules with undefined stereocenters', description=\"There are 253 molecules with undefined stereocenter(s). It's recommended to use <auroris.curation.action.StereoIsomerACDetection> and check the stereoisomers and activity cliffs in the dataset.\")]), Section(title='outlier_detection', logs=['New column added: OUTLIER_SOL', 'Found 7 potential outliers with respect to the SOL column for review.'], images=[AnnotatedImage(image=<PIL.Image.Image image mode=RGBA size=1200x600 at 0x727E755CA9F0>, title='Outlier detection - SOL', description=None)]), Section(title='discretize', logs=['New column added: CLS_SOL'], images=[AnnotatedImage(image=<PIL.Image.Image image mode=RGBA size=1200x600 at 0x727E76C1EFF0>, title='Data distribution - SOL', description=None)])], auroris_version='0.1.9', time_stamp=datetime.datetime(2025, 5, 11, 18, 7, 50, 763302))"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "44fe1a9b-3c9c-48dd-b03b-d5beeeecdbf2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-11T09:08:03.624542Z",
     "iopub.status.busy": "2025-05-11T09:08:03.624471Z",
     "iopub.status.idle": "2025-05-11T09:08:03.648339Z",
     "shell.execute_reply": "2025-05-11T09:08:03.648155Z",
     "shell.execute_reply.started": "2025-05-11T09:08:03.624536Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Distribution in Chemical Space - ECFP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=1200x600>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(report.sections[0].images[0].title)\n",
    "report.sections[0].images[0].image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "41784d7b-614e-4e5c-a429-36a83a6e9687",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-11T09:08:03.648647Z",
     "iopub.status.busy": "2025-05-11T09:08:03.648569Z",
     "iopub.status.idle": "2025-05-11T09:08:03.669379Z",
     "shell.execute_reply": "2025-05-11T09:08:03.669143Z",
     "shell.execute_reply.started": "2025-05-11T09:08:03.648639Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Outlier detection - SOL\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=1200x600>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(report.sections[1].images[0].title)\n",
    "report.sections[1].images[0].image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f46bcd74-0f39-4279-941f-7a042c796ed6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-11T09:08:03.669738Z",
     "iopub.status.busy": "2025-05-11T09:08:03.669650Z",
     "iopub.status.idle": "2025-05-11T09:08:03.692976Z",
     "shell.execute_reply": "2025-05-11T09:08:03.692591Z",
     "shell.execute_reply.started": "2025-05-11T09:08:03.669730Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data distribution - SOL\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=1200x600>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(report.sections[2].images[0].title)\n",
    "report.sections[2].images[0].image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e085bb15-4d6d-4268-aeb5-85b55e1bc5c2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-11T09:08:03.693396Z",
     "iopub.status.busy": "2025-05-11T09:08:03.693306Z",
     "iopub.status.idle": "2025-05-11T09:08:03.695593Z",
     "shell.execute_reply": "2025-05-11T09:08:03.695197Z",
     "shell.execute_reply.started": "2025-05-11T09:08:03.693388Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mol\n",
      "ID\n",
      "NAME\n",
      "SOL\n",
      "SOL_classification\n",
      "smiles\n",
      "split\n"
     ]
    }
   ],
   "source": [
    "for c in data.columns:\n",
    "    print(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "065a8fcb-876c-4a5f-9370-bc94389ec025",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-11T09:08:03.695985Z",
     "iopub.status.busy": "2025-05-11T09:08:03.695900Z",
     "iopub.status.idle": "2025-05-11T09:08:03.698410Z",
     "shell.execute_reply": "2025-05-11T09:08:03.698082Z",
     "shell.execute_reply.started": "2025-05-11T09:08:03.695977Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mol\n",
      "ID\n",
      "NAME\n",
      "SOL\n",
      "SOL_classification\n",
      "smiles\n",
      "split\n",
      "MOL_smiles\n",
      "MOL_molhash_id\n",
      "MOL_molhash_id_no_stereo\n",
      "MOL_num_stereoisomers\n",
      "MOL_num_undefined_stereoisomers\n",
      "MOL_num_defined_stereo_center\n",
      "MOL_num_undefined_stereo_center\n",
      "MOL_num_stereo_center\n",
      "MOL_undefined_E_D\n",
      "MOL_undefined_E/Z\n",
      "OUTLIER_SOL\n",
      "CLS_SOL\n"
     ]
    }
   ],
   "source": [
    "for c in dataset.columns:\n",
    "    print(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "535284ad-a396-40ed-b18f-fc51ca1b6811",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-11T09:08:03.698834Z",
     "iopub.status.busy": "2025-05-11T09:08:03.698742Z",
     "iopub.status.idle": "2025-05-11T09:08:03.718177Z",
     "shell.execute_reply": "2025-05-11T09:08:03.717819Z",
     "shell.execute_reply.started": "2025-05-11T09:08:03.698825Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mol</th>\n",
       "      <th>ID</th>\n",
       "      <th>NAME</th>\n",
       "      <th>SOL</th>\n",
       "      <th>SOL_classification</th>\n",
       "      <th>smiles</th>\n",
       "      <th>split</th>\n",
       "      <th>MOL_smiles</th>\n",
       "      <th>MOL_molhash_id</th>\n",
       "      <th>MOL_molhash_id_no_stereo</th>\n",
       "      <th>MOL_num_stereoisomers</th>\n",
       "      <th>MOL_num_undefined_stereoisomers</th>\n",
       "      <th>MOL_num_defined_stereo_center</th>\n",
       "      <th>MOL_num_undefined_stereo_center</th>\n",
       "      <th>MOL_num_stereo_center</th>\n",
       "      <th>MOL_undefined_E_D</th>\n",
       "      <th>MOL_undefined_E/Z</th>\n",
       "      <th>OUTLIER_SOL</th>\n",
       "      <th>CLS_SOL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>182</td>\n",
       "      <td>heptachlor_epoxide</td>\n",
       "      <td>-6.29</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>ClC2C1OC1C3C2C4(Cl)C(=C(Cl)C3(Cl)C4(Cl)Cl)Cl</td>\n",
       "      <td>train</td>\n",
       "      <td>ClC1=C(Cl)C2(Cl)C3C4OC4C(Cl)C3C1(Cl)C2(Cl)Cl</td>\n",
       "      <td>4e642878f9229163c2d3740034957f23dfcb5e2e</td>\n",
       "      <td>30e9dff876a3d1f4dc8495c8fa1b95c5e74a4054</td>\n",
       "      <td>128.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>183</td>\n",
       "      <td>aldrin</td>\n",
       "      <td>-7.33</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>ClC3=C(Cl)C4(Cl)C2C1CC(C=C1)C2C3(Cl)C4(Cl)Cl</td>\n",
       "      <td>train</td>\n",
       "      <td>ClC1=C(Cl)C2(Cl)C3C4C=CC(C4)C3C1(Cl)C2(Cl)Cl</td>\n",
       "      <td>754233964ae56fabd0f3618544573df072f1ba41</td>\n",
       "      <td>b740fe42b81ba54eb1393bb41ee21c5270977dee</td>\n",
       "      <td>64.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>184</td>\n",
       "      <td>endrin</td>\n",
       "      <td>-6.18</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>ClC4=C(Cl)C5(Cl)C3C1CC(C2OC12)C3C4(Cl)C5(Cl)Cl</td>\n",
       "      <td>train</td>\n",
       "      <td>ClC1=C(Cl)C2(Cl)C3C4CC(C5OC45)C3C1(Cl)C2(Cl)Cl</td>\n",
       "      <td>068dc554eae0ce01cb7b8e580c222c7c773e2fdb</td>\n",
       "      <td>2bb6e533b06db2ab17529546eb125c1aa71dad3b</td>\n",
       "      <td>256.0</td>\n",
       "      <td>256.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  mol   ID  \\\n",
       "142  <rdkit.Chem.rdchem.Mol object at 0x727ebf856650>  182   \n",
       "143  <rdkit.Chem.rdchem.Mol object at 0x727ebf8566c0>  183   \n",
       "144  <rdkit.Chem.rdchem.Mol object at 0x727ebf856730>  184   \n",
       "\n",
       "                   NAME   SOL SOL_classification  \\\n",
       "142  heptachlor_epoxide -6.29            (A) low   \n",
       "143              aldrin -7.33            (A) low   \n",
       "144              endrin -6.18            (A) low   \n",
       "\n",
       "                                             smiles  split  \\\n",
       "142    ClC2C1OC1C3C2C4(Cl)C(=C(Cl)C3(Cl)C4(Cl)Cl)Cl  train   \n",
       "143    ClC3=C(Cl)C4(Cl)C2C1CC(C=C1)C2C3(Cl)C4(Cl)Cl  train   \n",
       "144  ClC4=C(Cl)C5(Cl)C3C1CC(C2OC12)C3C4(Cl)C5(Cl)Cl  train   \n",
       "\n",
       "                                         MOL_smiles  \\\n",
       "142    ClC1=C(Cl)C2(Cl)C3C4OC4C(Cl)C3C1(Cl)C2(Cl)Cl   \n",
       "143    ClC1=C(Cl)C2(Cl)C3C4C=CC(C4)C3C1(Cl)C2(Cl)Cl   \n",
       "144  ClC1=C(Cl)C2(Cl)C3C4CC(C5OC45)C3C1(Cl)C2(Cl)Cl   \n",
       "\n",
       "                               MOL_molhash_id  \\\n",
       "142  4e642878f9229163c2d3740034957f23dfcb5e2e   \n",
       "143  754233964ae56fabd0f3618544573df072f1ba41   \n",
       "144  068dc554eae0ce01cb7b8e580c222c7c773e2fdb   \n",
       "\n",
       "                     MOL_molhash_id_no_stereo  MOL_num_stereoisomers  \\\n",
       "142  30e9dff876a3d1f4dc8495c8fa1b95c5e74a4054                  128.0   \n",
       "143  b740fe42b81ba54eb1393bb41ee21c5270977dee                   64.0   \n",
       "144  2bb6e533b06db2ab17529546eb125c1aa71dad3b                  256.0   \n",
       "\n",
       "     MOL_num_undefined_stereoisomers  MOL_num_defined_stereo_center  \\\n",
       "142                            128.0                            0.0   \n",
       "143                             64.0                            0.0   \n",
       "144                            256.0                            0.0   \n",
       "\n",
       "     MOL_num_undefined_stereo_center  MOL_num_stereo_center MOL_undefined_E_D  \\\n",
       "142                              7.0                    7.0              True   \n",
       "143                              6.0                    6.0              True   \n",
       "144                              8.0                    8.0              True   \n",
       "\n",
       "    MOL_undefined_E/Z  OUTLIER_SOL  CLS_SOL  \n",
       "142             False        False      0.0  \n",
       "143             False        False      0.0  \n",
       "144             False        False      0.0  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset[dataset.MOL_num_undefined_stereo_center>3.].head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2469142c-5fae-4473-915e-b78b0d1a15a7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-11T09:08:03.718617Z",
     "iopub.status.busy": "2025-05-11T09:08:03.718536Z",
     "iopub.status.idle": "2025-05-11T09:08:03.754676Z",
     "shell.execute_reply": "2025-05-11T09:08:03.754361Z",
     "shell.execute_reply.started": "2025-05-11T09:08:03.718610Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mol</th>\n",
       "      <th>ID</th>\n",
       "      <th>NAME</th>\n",
       "      <th>SOL</th>\n",
       "      <th>SOL_classification</th>\n",
       "      <th>smiles</th>\n",
       "      <th>split</th>\n",
       "      <th>MOL_smiles</th>\n",
       "      <th>MOL_molhash_id</th>\n",
       "      <th>MOL_molhash_id_no_stereo</th>\n",
       "      <th>MOL_num_stereoisomers</th>\n",
       "      <th>MOL_num_undefined_stereoisomers</th>\n",
       "      <th>MOL_num_defined_stereo_center</th>\n",
       "      <th>MOL_num_undefined_stereo_center</th>\n",
       "      <th>MOL_num_stereo_center</th>\n",
       "      <th>MOL_undefined_E_D</th>\n",
       "      <th>MOL_undefined_E/Z</th>\n",
       "      <th>OUTLIER_SOL</th>\n",
       "      <th>CLS_SOL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>97</td>\n",
       "      <td>benzo(ghi)perylene</td>\n",
       "      <td>-9.03</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>c16cccc2ccc3ccc4ccc5cccc6c5c4c3c12</td>\n",
       "      <td>train</td>\n",
       "      <td>c1cc2ccc3ccc4ccc5cccc6c(c1)c2c3c4c56</td>\n",
       "      <td>11f85cc22efd7a0fa54ebd9858748e43f47a5361</td>\n",
       "      <td>ffac5d5c23eb5d7f4d35be6d08fdbc272518266b</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAWbklEQVR4nO2dfVRT9/3HP0kD8iTlWR4tqIDPCtba1mdoa7V29axjdjrmdDuc0/aUP1rP4UxnaXvWDje3Q23nxk6dje3P7bj9A3XqhoJItaCEhAcJCAoSnkl4CCEhuUnu749ve5feCAbIzb25fF5/eOSb3NyP5uX3fu838fOW0DQNCOJupHwXgIgTFAvhBBQL4QQUC+EEFAvhBBQL4QQUC+EEFAvhBBQL4QQUaxpUVFR8/vnnWq2W70JAb9OfGzp3vP/4F0Nf6G16AEi9k1o2VsZ3Xf8DxXKJkZGR/fv3b9u27eDBgzExMWfOnOHxo7B6U31KU8op7akBauDc0LkVTSu0Vv5dZ0MjU2K1WouKiiIjI8lfl0wmI7/ZtGmTQqHgpaR0dfrBjoN22k5+rB2vpWk6pTHlqv4qL/U8FBRrKq5du7Z27Vpi0tatW6urq61W6+nTp6OjowFAIpFkZ2f39vZ6siQtpQUFqE1q1jiK5R1oNJrs7GyJRAIA8fHxcrncbrczjxoMhvz8/Hnz5gFAYGBgfn7+xMSEZwq7PX5bqpBa7BbWOIoldMbHx/Pz8/39/QEgICAgPz/faDSSh0pLS202G/PM1tbWrKwsMp8tWbLk/PnzHijvjukOKEBv1bPGUSzhYrfbz58//8QTT5DLXFZWVkdHB3moubl5165dAPDZZ5+xjrpy5cqqVauIXhkZGfX19VzURtmpTwc+fb/n/XHbuKxWVq4vZz0BxRIoNTU1GzduJH6sW7eusrKSjOt0urfeeous2cPCwsj9IAuKopgFvkwmy8nJGRgYcGNtpfrSlU0rQQE+tT7t5vaftv/0SfWTfZY+8ujdibs0iiVAenp6cnJypFIpAMTExBQVFZHrnc1mk8vlRBepVJqdnd3f3z/F6+h0utzcXKJgaGhoYWEhRVGzrK1toi3rfhYoABSQ0JAg18lpmh61jr5679UAZUCaOi2xITFNnUbZKRRLQJjN5sLCwuDgYADw8fHJzc0dHR0lD5WVla1evZpMYNu3b6+rq3PxNdVq9c6dO8mBS5cuvXjx4sxqM9gM+T35fko/UECgMjC/J99kMzk+QUfpVEZVr+Xbe9IBasBsN8/sXFwwd8UqKSlZtGgRMWD37t1tbW1kvK2tjVmSJyQkyOXymb344sWLnV/cFWw22+faz6Pro0EBUoX05x0/77H0zKAGfpmLYqnV6hdffJGZVC5dukTGySaCn58fs4lgMpmmfqkpsFgsk02HU3Dr1q1nnnlm86XNoID16vU3DTdnXAC/zC2xHJdBYWFhzDLIbrfL5XJm2zMrK6uzs9MtZ3RewFmt1oc+U6PR7Nu3j+ycrdqy6kvtl8zeujcyV8QiN24RERHMjdvg4CB5iEwSZAJbv379zZvunyQmu+UkGI3GgoKC+fPnA4C/v39eXp5ez96m8jrmhFilpaUrV64k72tmZiaz1dTV1cVsr8fGxrK2193LZJtkJSUlSUlJzGrs/v37HBXgYUQuVnd394IFC8jblpycXFJSQsb5miQMBsOvf/1rsowLCAhITk4mtaWlpVVUVHigAI8hcrH27NlDZoijR48yH+fxPkkwH0RGR0eTHa/JFl7ei8jFIhsK+/fvJz/W1tZu2bJFIJPEU089BQDFxcU81sAdIv+iH1kyv/DCC+THd9999/r161FRUX/9619ramoYyTyGwWAg11wACAoKAoDAwEAP1+AZZHwX4FFOnDiRmpp67Nixxx9/nJcCkpKStFrtwMAA881BsTK3xEpNTT1x4gTfVcwJRH4pRPgCxUI4AcVCOAHFQjgBxUI4AcVCOAHFQjgBxUI4AcVCOAHFQjgBxUI4AcVCOAHFQjgBxUI4AcVCOAHFQjgBxUI4AcVCOAHFQjgBxUI4AcVCOAHFQjhhbonV1tZ29OhRg8HAdyHiZ26Jdfjw4Y8++ig1NfXs2bM0H5klzc3NAwMDpJuSuBG5WKOjowDATFHHjh3buHFjT0/PgQMH1q9ff+PGDQ/XEx4eHhkZSRon1dTUAIBSqfRwDR6C7+YRXEGa9z322GMJCQnz588vKCgwm830d32qFi5cCE7N3D1GV1fX9u3byd//v//9bw+f3TOIUCyKok6ePBkaGgoAMplsyZIl5C1ctmzZ5cuXyXNI/ATTp8oxfoJTjEbjBx98QBqBSKXSV155xQMn5QWxiXX16lXnnIjS0tLly5eTweeee66xsZE8eerAHLfD6svV2trK3bl4RzxiTZ1sQ3oYkyYzpIfxyMgIeai8vHzNmjXkwK1btyqVSrfXJqi+XJ5BDGK5nsWl1WrJwgsAwsPDmVZ6JIQiKioKvguh6Ovrc0ttk51R9Hi3WDbadlp7etfJXUSIQ4cOuZIeONn8MTw8nJeXRwQNCQkpKCiYTVjcFHPkXMCLxaocq1ynXgcKCFeGP7/n+ZqammkdXlJSkpiYyKx4mE6kLS0tu3fvJuPJyckzC4srLS1dsWKF86pu7uAFYg1bh220zXGky9KV3Z4tUUhAAXH1cXKdfGa99qfonTxjM1paWl566SVyYEpKyldffTWDwkSA4MTqMHf8of8PeV15pwZODVuHaZoOVgU3mZrIo0absaCvIEgZBArwV/rndeWN2cZmeUbHbu9xcXHMvSG5loWEhJBrmWPmwEMhV1JfX1+3XEm9HWGJdXH0or/Sf+/9vb/p/c2ee3uSGpKMNiMjVslISWJDIslY2922u93c7sZTT5ZP0d/fn5OTQ1bfkZGRX375pfOxzmv/qQPo5gICEstsN0fXR3/Y+yEzct98n6bpYFXwf0b/s6llE1EqXZ1eOVY5+cvMHFaijmOQeFNT044dOwCgqKiIdZTjbsW2bdtUKhUXtXkdAhKrzlgnVUidL23BquAqQ1VEXUR4XXhhf6HVzu3t+hQZYBcuXHDcLOjs7MzOziZKkQA6TvdXvQsBiVU8UhxVF+U8Ti6FNww3Rq2PjmVzF47brYsXL2bdGzp/IjSbADpRIiCxyvRlAcoA53HHxbuHYX1AVFdX5/wZ9oMHD3ipTeAISKxuS7dEIVEZ2WsUHsWiaZqiqE8++SQsLIx8pJ2QkEA827BhQ1VVFV9VCR8BiUXT9A/afvBs87Mk55iyU4pxBc23WIShoSHyyUx8fHxkZCQTSI5MhrDEGrYO772/d17tvMSGxBBVyI/u/YgWhliE559/HgDOnTvHdyFegLAiT0IeC/lH0j9MdpPWqo32ifaR+ADA4OpB8hveId+jImt2ZGqEJRbBX+qf4JvA/Ogr8eWxGGRmiPw77whfoFgIJ6BYCCegWAgnoFgIJ6BYCCegWAgnoFgIJ6BYCCegWAgnoFgIJ6BYCCegWAgnoFgIJ6BYCCegWAgnoFgIJ6BYCCegWAgnoFgIJ6BYCCegWAgnoFgIJ6BYCCd4gVgUTdHAQ6CSd9Fqbh23j/Ndxf8Q3P+E7qf6i0eLtVZtnE/cq6GvBkmDouqjvk79eoXfCr5Lg5GREQDQ6/V8FwLqCfUXQ19oLJpYn9iD4QeX+i19+d7Lf0r4U+b8TL5L+xZhzVjlY+XJTcnFo8VGu/Hc8Ll0dbrRbuS7KACA7u7un/3sZxUVFbGxsW+88cZ7771nNpv5Kuay/nJ6c7rWqn1u/nMAsPnu5kHrIF/FTArfXUn+B2WnEhoSjnYfZUbumO7QNB2iCmk08dYnncQqBQQEAEBAQADTo5uvVtt22p7UkPRuz7vMyIh1hKbp1DupV/RXPF/PZAhIrEZTo0QhIS24HeFRLFasUnt7O03TpaWlK1euJIOZmZkkB8pj9Fp6QQEPzOw2gijWpFwYuRBRF+E8TsS6YbhB/ml6BqZNMgCkpaVdv37d8VGKooqKikhQqkwmy8nJGRgY8Exh1YZqiUJC2SnWOIo1KeX68of2IA1Rhdwcv+mxrslMgiY4BTmdPXuWpGk6PlMmkwFAaGgok7XJHXba3jbRBgrQUTrWQyjWpGgsGlBAg7GBNR6iCrk8enlLyxbS531t09prY9e4KMBxHmLFKlVVVW3YsAEAfv/737OOUqvVO3fuJHNbamoqR4mpQ9ahXE3u/vb9FrslUBn4r+F/sZ6AYk3FztadW1u2aiktTdM22sZavJeMlCQ1JDHJFPcm7rnx1FeuXGFWTo7hOQ8ePNi7dy8JRElMTCwuLn7o4aWlpcuWLWMOv3PnjrsKo+zUpwOfhtWFgQJ8an3aze15XXlPNDzx9djXVrtVb9UXjxTTKNbUDFKDu9t2+yn9VjWtiqyL3Nm6k/7+4t1sNxf2F85XzQcF+Nb65mpyZ9/83bGlu2PcF4lwCgoKAtfifbnIkSvTl61uWk3+LWXczag31tM0bbVb3+t5L6Y+xk/pF1kX+ZP7P6Hs1NPNT18fu/7IF/QYwhKLoKN0LRMtzFJ92DrMWld1W7pzHuRIFVJQQEx9TNFgESsezEUcEzSDgoIcEzRZoXOuB5K7K/my09yZ3Z5NlEpoSJDr5DN4ER4RolguUmWo2tC8geQVbn95OxOr5ArOsTlMpKpjTGZ6enpl5Uxye1hZm9euTWNRODY2duzBMT+lHyggSBn0297fTti9L0XMi8WiadpO28/qzr70yUvEj3379mk0mkce5Rj09dRTT33zzTdkfLL7wRnD2ga7d+8Ri0Im9mLbuW0ShSTrfpbzfpW34N1iEUiyjb+/P1kM5eXljY09PMSwu7s7JydHKpXClNGEbozZdcza9PX1zc3NHR19+KKwurqa3HgCwJYXtlSNeXfshRjEImg0mofmWRLMZnNhYaErYapuvKFjcBQ6NjaWFWzR09PDPBoTEyOO2AvxiEWorq5++umniSVMnmVJScmiRYuYSxIT/3z37l3mfjAlJeXChQuc1nb79u1nn32WnG7dunWVlZVkpgwODmZmysnmM69DbGLRNG2z2T777LMFCxYAgFQqZW7u1qxZwyyiHe8HPRmzS24aYmNjyaKQZD8BwJ49ex65AvMuRCgWgajj4+OzcOHC4OBgZiVO3lpGO8f7QY9BFoU+Pj5xcXGJiYkXL170cAEeQLRiEV577TUAKCwsJD/eunWLuVDynguXmZkJAGKNuRfWF/3cDlmtk29TAcDJkyerqqrI0v6bb75h7sI8RkNDg0KhsFgsAEDy7snuhvgQ3FeTOaWgoCAlJeXw4cNkb8Lz7Nq1q6urS6PRxMfHkxtYmhbn1/lFLhbrzYuLizt27BivFc0VRH4pRPhC5GIJ7XLjWI/QanMvIhcL4QsUy6PgjCUSxP3mCRmRi4XwBYrlUfBSKBLE/eYJGZGLJTRwxkKQWSFyscQ9KwgZkYslNPBSKBLE/eYJGZGLJTRwxkKQWSFyscQ9KwgZkYslNPBSiCCzQuRiCW1WwBkLQWaFyMUS96wgZEQultDAS6E46ejo+MUvftHT08NXAY8//nhoaChpLCNuRP4nZM0KR44c+dvf/paamvrRRx9NTEx4vp7bt28PDQ0tXrzYuTaRIXKxtFot8ysAHD9+PDs722AwHD16NDk5+ezZszy+r319fQDA4/TJLR7oD8ELpO+jVCqNj4+XyWSOTfrKy8vXrFlD/vhbt25VKpUerk2tVr/44osAEBMTQ4ItBgcHPVwD14hQLFbfx7S0NLKmiY6OPn36NGmWZ7PZeGlmpNPp3nzzTRJmER4evm3bNtIUJDIy8s9//vMsW54KCrGJ9dAcAIVCsXnzZjKYnp5eUVFBnjw8PJyXl/fQdtxuh6gcGRkJ38XvkFnKMbRn6dKlly5d4qgADyMesVg5AM59p1it2x/aMHLJkiVMgIAbKSsrW716NTlFRkZGQwM71oXVzLKtrc3tNXgYMYg1RQ4AC8ewCVaLW8epLiMjw11hcZ2dndnZ2a5YazKZPvzwQ1Jb7IrYI5ojeqveLTXwgneLZaNtZ7Rndv/fbrJU+uUvf9nf3//Io7q6upj+yo49jElIk+PVajZhcaQfpJ+fHwAEBgbm5+ebTKZHHtXd3X3gwIEtl7eAAiLqIjyQdsYRXizWTcPN9er1oAB/pf/Lh16uqamZ1uGOMQJPPvnkjRs3yPjsw+KYHAD4Lvait7d3Wq9QM16zqWUTyTtJV6cLKiTHRbxArEFq0Gz/3lvrmKUTVx8n18nttH2yw6eAZUBWVtaDB98mQajV6l27dhHtUlNTXe/UXVNTs3HjRmdfZ0DJSEliQyKTdtZubp/iySqjaoDyUBinKwhOrC5L14m+E29r3j7ed7zb0k3TdEpjSpm+jDzqmP7lr/TP68qb/UKELNHINYuV8lVaWrp8+XLWPeZkOOYAOKcEzIxx23hBX0GQMoj156031r/Z+ebO1p0HOg6U68tpmt7csvnc0LlZns6NCEusyrHKIGXQD+/98ETfiYMdByPqIgapQUaskpGSRY2LmH/B98333Xhqx1V2fHw8E2xhNpt/97vfkR7/vr6+H3zwgfOxjjkAJNeEuSdwC12Wruz2bIlCIquVNZoar+qv+in93up8q3ikuLC/MLo+um2iDcWaFDttX3pn6duat5kRjUVD03RKY8o/h/6ZcTeDKLWmaQ1HCav09zflHft1M2FxJ0+eZB3iGIHpShLTjPl67OuP+z+maXpt09p3ut5hxkk2GIo1KX2WPlCA8zyU0pjy39H/pjSmhNWFeeAuaYpNeZVKZbFYmGc2Nzcz6zCP7W1O2CekCmnteC1rHMWalGpDtVQhdfaGXApVRtWQdchjxYyNjTF7Y2SzwHFvjGzZk0btoaGhhYWFFMWOleeIdnM7KKDXwr7NRLEmRW1SgwKco3gdF+8exnlTnsxnUVFRzHw2m72uGWCwGUABJC3bERRrUkw207zaeRdH2cEyPIpFuHz5MrOKItunAJCZmen8yYxnSGpI+mP/H1mDQhNLQN/H8pP6HYo49E7XO80TzQBgpa03DDf4LgoAYMeOHfX19UVFRcHBwUFBQVFRUXK53PEjIA/zq+hfvd/7/t+H/z5iG+mhek7rTtMgvG8L8m3295iwT7zR+UagMjC6PjpYFbyjdQdlp3ifsRgOHToEAB9//DHfhdBynXydel2oKnRJ45KDHQf1Vv2+9n0XRrjNW5wWwhKLYLabB6lByu6h5bDrvP766wBw6tQpvgvxAoSYpeMr8Y2QRfBdxUMQ97fU3YuA1liImECxEE5AsaYBXgpdB8VCOAHFmgY4Y7kOijUNAmIDEp5O8Anx4bsQL0CI2w2CxfRTk2aHxpJg4bsQLwBnLIQTUCyEE1CsaYCLd9dBsRBOQLGmgQQkACDE76gIDxQL4QQUC+EEFGsa4KXQdXCDdBr8OPTHy/yWPRP4bceHQeug3qZfPG8xv1UJE5yxXGXcPn57/Pa1sWvH+4+f0Z2x0bbzw+cPdx/muy6BgjOWS4zbxze1bJJJZDkROVKJ9NPBT3VWnb/Un++6hAuK5RKnBk8N2YZalrf4Sf0AYF/oPl+J71+0f+G7LuGCYrlE9Xj1a6GvEasAAOeqR4JrLJfQUJo4nzi+q/AmUCyXiJBFDNmG+K7Cm0CxXGK53/KrY1f5rsKbQLFc4vWI11VG1ZGeIzqrjqKpCkNFq7mV76IEDYrlEovmLSpPKb81fmth48IF9QuOdB8ZoAaCpEHC/I+1QkCC3y5CuABnLIQTUCyEE1AshBNQLIQTUCyEE1AshBNQLIQTUCyEE1AshBP+H9gq1IkJIDWZAAABPXpUWHRyZGtpdFBLTCByZGtpdCAyMDI0LjA5LjYAAHice79v7T0GIBAAYiYGCBAGYhEgbmBkc8gA0szMQIYGiMEiyKAApJHFcSmAcNFpNGlyuNwMjBlMjEwMjMwJzCwZTCysCaxsDKzsGUzsDAnsHAocnBlMnFwMnNwJ3DwM3LwZTLx8DLz8CfwCDPyCGUyCHAmCQgxOIJ+yMbCzsgAdzsnNyy/IIf4OZDYDLAQWuS6zZ2Bw2A/iQNn2IPbWZaIOZ8+ssWeAgwP2UDX7YWqg7P1Q9QeA6vcjqYezpXkdDoBof7ll+5v1C8Ds0wtFD3x/4glmf7q0dP8h8RVgdni06IFHEbvB7CDPudbx7AfA7DXdt62P5T4Ds2fuXmav/W05mJ3/QdShUBqi/kvOMvvwN/lg9p+Vog67siHmiwEAD/5YQBR+hnYAAAGmelRYdE1PTCByZGtpdCAyMDI0LjA5LjYAAHicjVRbTsNADPzvKXyAJFp7va/PJqkQQk0RFO6AxCdH45srcQXWee1GykYkjWSPptOpPRuq6Pfnu9IVV6YyUtr6uWtPINdL//TxBetF/Sni6uATQoB3rZQ6XUEKaC8PjwN093O7IN3tbbi/AgYgBeO95Z7vt+uCIHSADYUQFaFWjTNKKtUoNRULkXLiAU9D9wnUaO2jyfgNXSJyFFxRbIwq8Ezk1f/5ZbshHv0XJx7r1WR94NLnLusDm2FD1FL5XSKqxafzE9UZCvtUTEZnWTRs97m0yBojVNNQUVavstpNXF+UXdbEo1krhIKqEVXB7SjqGipS7RgmrcjOVtkXhuXmODH52Sk73Kf6WVTRPNaiaFgzauapsqNd6mXoN8dlOkDtbejTAeL4UDomsQGdTgPHllPm5TYp2rEBmwKM8XEppRxbn5LI8cGUN4xtyFLFguXZQUERs4TwiFAWBBQYdbZuHhHO1ooCo8m2xyNisy2hwOiyZfCI+GzoLPDqmGR2EcCQDzsfrfTLey3Wpz9Ze/6oZWAaXwAAALh6VFh0U01JTEVTIHJka2l0IDIwMjQuMDkuNgAAeJxdT0kSwzAI+0qPzoxhWLxOjnmKr3lCHl+M07TTi41ACOk4B48RYMgIx7n9P/JUg19XEFRtGhk1x51Reo+E9alhAYrAuH5FImpxh0mobTZqlm4Nl5qYcyo3IecIGeVL0DobzRlkUsk2ypTsCxebVxTHZoqkuEBqdtL2kzTfT5XXnMQdfObasjtIVW4HTwa4o8LKCr9hKc542/UG3I5B8yBdsbwAAAAASUVORK5CYII=\" alt=\"Mol\"/></div></td>\n",
       "      <td>270</td>\n",
       "      <td>2,2ﾴ,3,4,5,5ﾴ,6-PCB</td>\n",
       "      <td>-8.94</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>c1c(Cl)ccc(Cl)c1c2c(Cl)c(Cl)c(Cl)c(Cl)c2Cl</td>\n",
       "      <td>train</td>\n",
       "      <td>Clc1ccc(Cl)c(-c2c(Cl)c(Cl)c(Cl)c(Cl)c2Cl)c1</td>\n",
       "      <td>b71d936a6f07484b1f01cc203dcd2bbf4cbde468</td>\n",
       "      <td>5b169fd9021002847144c2378ca1471ecc189125</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>272</td>\n",
       "      <td>2,2ﾴ,3,3ﾴ,4,4ﾴ,5,5ﾴ-PCB</td>\n",
       "      <td>-9.16</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>c1c(Cl)c(Cl)c(Cl)c(Cl)c1c2c(Cl)c(Cl)c(Cl)c(Cl)c2</td>\n",
       "      <td>train</td>\n",
       "      <td>Clc1cc(-c2cc(Cl)c(Cl)c(Cl)c2Cl)c(Cl)c(Cl)c1Cl</td>\n",
       "      <td>920dffb4e8df06d55a1f2b39eda64935def7f41f</td>\n",
       "      <td>06d5b69e9172a22b56e3b36fb23beef80f9b7af5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>273</td>\n",
       "      <td>2,2ﾴ,3,3ﾴ,4,4ﾴ,5,5ﾴ,6-PCB</td>\n",
       "      <td>-10.26</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>c1c(Cl)c(Cl)c(Cl)c(Cl)c1c2c(Cl)c(Cl)c(Cl)c(Cl)...</td>\n",
       "      <td>train</td>\n",
       "      <td>Clc1cc(-c2c(Cl)c(Cl)c(Cl)c(Cl)c2Cl)c(Cl)c(Cl)c1Cl</td>\n",
       "      <td>1f6a22be7ba5d6d5a8745e65f8512d6ff1b0ce5d</td>\n",
       "      <td>cca41c44550358f1f296163da6004f01172861df</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>274</td>\n",
       "      <td>2,2ﾴ,3,3ﾴ,4,5,5ﾴ,6,6ﾴ-PCB</td>\n",
       "      <td>-10.41</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>Clc1c(Cl)c(Cl)c(Cl)c(Cl)c1c2c(Cl)c(Cl)cc(Cl)c2Cl</td>\n",
       "      <td>train</td>\n",
       "      <td>Clc1cc(Cl)c(Cl)c(-c2c(Cl)c(Cl)c(Cl)c(Cl)c2Cl)c1Cl</td>\n",
       "      <td>b3a52e3bc0713ea5d72e982e4dbb7e3b01e8a400</td>\n",
       "      <td>7c650c2e1e538db261800adb669da0b7df8c104c</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>275</td>\n",
       "      <td>2,2ﾴ,3,3ﾴ,4,4ﾴ,5,5ﾴ,6,6ﾴ-PCB</td>\n",
       "      <td>-11.62</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>Clc1c(Cl)c(Cl)c(Cl)c(Cl)c1c2c(Cl)c(Cl)c(Cl)c(C...</td>\n",
       "      <td>train</td>\n",
       "      <td>Clc1c(Cl)c(Cl)c(-c2c(Cl)c(Cl)c(Cl)c(Cl)c2Cl)c(...</td>\n",
       "      <td>cda75f0f60c56231167d7d98c81a90e2f1073797</td>\n",
       "      <td>a3ac1b01b804029172f36188ebc5014f45b02ad3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1078</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>271</td>\n",
       "      <td>2,2ﾴ,3,3ﾴ,5,5ﾴ,6,6ﾴ-PCB</td>\n",
       "      <td>-9.15</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>Clc1c(Cl)cc(Cl)c(Cl)c1c2c(Cl)c(Cl)cc(Cl)c2Cl</td>\n",
       "      <td>test</td>\n",
       "      <td>Clc1cc(Cl)c(Cl)c(-c2c(Cl)c(Cl)cc(Cl)c2Cl)c1Cl</td>\n",
       "      <td>141c57383e4f9036ec995de99f5db19b8d34ae77</td>\n",
       "      <td>1ae0a223fabe8c64f51df41a09c618be42e43f56</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   mol   ID  \\\n",
       "77    <rdkit.Chem.rdchem.Mol object at 0x727ebf8549e0>   97   \n",
       "213   <rdkit.Chem.rdchem.Mol object at 0x727ebf8585f0>  270   \n",
       "214   <rdkit.Chem.rdchem.Mol object at 0x727ebf858660>  272   \n",
       "215   <rdkit.Chem.rdchem.Mol object at 0x727ebf8586d0>  273   \n",
       "216   <rdkit.Chem.rdchem.Mol object at 0x727ebf858740>  274   \n",
       "217   <rdkit.Chem.rdchem.Mol object at 0x727ebf8587b0>  275   \n",
       "1078  <rdkit.Chem.rdchem.Mol object at 0x727ebebb9af0>  271   \n",
       "\n",
       "                              NAME    SOL SOL_classification  \\\n",
       "77              benzo(ghi)perylene  -9.03            (A) low   \n",
       "213            2,2ﾴ,3,4,5,5ﾴ,6-PCB  -8.94            (A) low   \n",
       "214        2,2ﾴ,3,3ﾴ,4,4ﾴ,5,5ﾴ-PCB  -9.16            (A) low   \n",
       "215      2,2ﾴ,3,3ﾴ,4,4ﾴ,5,5ﾴ,6-PCB -10.26            (A) low   \n",
       "216      2,2ﾴ,3,3ﾴ,4,5,5ﾴ,6,6ﾴ-PCB -10.41            (A) low   \n",
       "217   2,2ﾴ,3,3ﾴ,4,4ﾴ,5,5ﾴ,6,6ﾴ-PCB -11.62            (A) low   \n",
       "1078       2,2ﾴ,3,3ﾴ,5,5ﾴ,6,6ﾴ-PCB  -9.15            (A) low   \n",
       "\n",
       "                                                 smiles  split  \\\n",
       "77                   c16cccc2ccc3ccc4ccc5cccc6c5c4c3c12  train   \n",
       "213          c1c(Cl)ccc(Cl)c1c2c(Cl)c(Cl)c(Cl)c(Cl)c2Cl  train   \n",
       "214    c1c(Cl)c(Cl)c(Cl)c(Cl)c1c2c(Cl)c(Cl)c(Cl)c(Cl)c2  train   \n",
       "215   c1c(Cl)c(Cl)c(Cl)c(Cl)c1c2c(Cl)c(Cl)c(Cl)c(Cl)...  train   \n",
       "216    Clc1c(Cl)c(Cl)c(Cl)c(Cl)c1c2c(Cl)c(Cl)cc(Cl)c2Cl  train   \n",
       "217   Clc1c(Cl)c(Cl)c(Cl)c(Cl)c1c2c(Cl)c(Cl)c(Cl)c(C...  train   \n",
       "1078       Clc1c(Cl)cc(Cl)c(Cl)c1c2c(Cl)c(Cl)cc(Cl)c2Cl   test   \n",
       "\n",
       "                                             MOL_smiles  \\\n",
       "77                 c1cc2ccc3ccc4ccc5cccc6c(c1)c2c3c4c56   \n",
       "213         Clc1ccc(Cl)c(-c2c(Cl)c(Cl)c(Cl)c(Cl)c2Cl)c1   \n",
       "214       Clc1cc(-c2cc(Cl)c(Cl)c(Cl)c2Cl)c(Cl)c(Cl)c1Cl   \n",
       "215   Clc1cc(-c2c(Cl)c(Cl)c(Cl)c(Cl)c2Cl)c(Cl)c(Cl)c1Cl   \n",
       "216   Clc1cc(Cl)c(Cl)c(-c2c(Cl)c(Cl)c(Cl)c(Cl)c2Cl)c1Cl   \n",
       "217   Clc1c(Cl)c(Cl)c(-c2c(Cl)c(Cl)c(Cl)c(Cl)c2Cl)c(...   \n",
       "1078      Clc1cc(Cl)c(Cl)c(-c2c(Cl)c(Cl)cc(Cl)c2Cl)c1Cl   \n",
       "\n",
       "                                MOL_molhash_id  \\\n",
       "77    11f85cc22efd7a0fa54ebd9858748e43f47a5361   \n",
       "213   b71d936a6f07484b1f01cc203dcd2bbf4cbde468   \n",
       "214   920dffb4e8df06d55a1f2b39eda64935def7f41f   \n",
       "215   1f6a22be7ba5d6d5a8745e65f8512d6ff1b0ce5d   \n",
       "216   b3a52e3bc0713ea5d72e982e4dbb7e3b01e8a400   \n",
       "217   cda75f0f60c56231167d7d98c81a90e2f1073797   \n",
       "1078  141c57383e4f9036ec995de99f5db19b8d34ae77   \n",
       "\n",
       "                      MOL_molhash_id_no_stereo  MOL_num_stereoisomers  \\\n",
       "77    ffac5d5c23eb5d7f4d35be6d08fdbc272518266b                    1.0   \n",
       "213   5b169fd9021002847144c2378ca1471ecc189125                    1.0   \n",
       "214   06d5b69e9172a22b56e3b36fb23beef80f9b7af5                    1.0   \n",
       "215   cca41c44550358f1f296163da6004f01172861df                    1.0   \n",
       "216   7c650c2e1e538db261800adb669da0b7df8c104c                    1.0   \n",
       "217   a3ac1b01b804029172f36188ebc5014f45b02ad3                    1.0   \n",
       "1078  1ae0a223fabe8c64f51df41a09c618be42e43f56                    1.0   \n",
       "\n",
       "      MOL_num_undefined_stereoisomers  MOL_num_defined_stereo_center  \\\n",
       "77                                1.0                            0.0   \n",
       "213                               1.0                            0.0   \n",
       "214                               1.0                            0.0   \n",
       "215                               1.0                            0.0   \n",
       "216                               1.0                            0.0   \n",
       "217                               1.0                            0.0   \n",
       "1078                              1.0                            0.0   \n",
       "\n",
       "      MOL_num_undefined_stereo_center  MOL_num_stereo_center  \\\n",
       "77                                0.0                    0.0   \n",
       "213                               0.0                    0.0   \n",
       "214                               0.0                    0.0   \n",
       "215                               0.0                    0.0   \n",
       "216                               0.0                    0.0   \n",
       "217                               0.0                    0.0   \n",
       "1078                              0.0                    0.0   \n",
       "\n",
       "     MOL_undefined_E_D MOL_undefined_E/Z  OUTLIER_SOL  CLS_SOL  \n",
       "77               False                 0         True      0.0  \n",
       "213              False                 0         True      0.0  \n",
       "214              False                 0         True      0.0  \n",
       "215              False                 0         True      0.0  \n",
       "216              False                 0         True      0.0  \n",
       "217              False                 0         True      0.0  \n",
       "1078             False                 0         True      0.0  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset[dataset.OUTLIER_SOL==True]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "45d83143-5924-46c9-8322-e5a7f5337140",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-11T09:08:03.755123Z",
     "iopub.status.busy": "2025-05-11T09:08:03.755023Z",
     "iopub.status.idle": "2025-05-11T09:08:03.772499Z",
     "shell.execute_reply": "2025-05-11T09:08:03.772176Z",
     "shell.execute_reply.started": "2025-05-11T09:08:03.755115Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mol</th>\n",
       "      <th>ID</th>\n",
       "      <th>NAME</th>\n",
       "      <th>SOL</th>\n",
       "      <th>SOL_classification</th>\n",
       "      <th>smiles</th>\n",
       "      <th>split</th>\n",
       "      <th>MOL_smiles</th>\n",
       "      <th>MOL_molhash_id</th>\n",
       "      <th>MOL_molhash_id_no_stereo</th>\n",
       "      <th>MOL_num_stereoisomers</th>\n",
       "      <th>MOL_num_undefined_stereoisomers</th>\n",
       "      <th>MOL_num_defined_stereo_center</th>\n",
       "      <th>MOL_num_undefined_stereo_center</th>\n",
       "      <th>MOL_num_stereo_center</th>\n",
       "      <th>MOL_undefined_E_D</th>\n",
       "      <th>MOL_undefined_E/Z</th>\n",
       "      <th>OUTLIER_SOL</th>\n",
       "      <th>CLS_SOL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>1</td>\n",
       "      <td>n-pentane</td>\n",
       "      <td>-3.18</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>CCCCC</td>\n",
       "      <td>train</td>\n",
       "      <td>CCCCC</td>\n",
       "      <td>3cb2e0cf1b50d8f954891abc5dcce90d543cd3d7</td>\n",
       "      <td>36551d628217a351e720cdbe676fca3067730a91</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></div></td>\n",
       "      <td>2</td>\n",
       "      <td>cyclopentane</td>\n",
       "      <td>-2.64</td>\n",
       "      <td>(B) medium</td>\n",
       "      <td>C1CCCC1</td>\n",
       "      <td>train</td>\n",
       "      <td>C1CCCC1</td>\n",
       "      <td>6048cdc5644dbdfc18925e06cb862c118a5ace7d</td>\n",
       "      <td>1622fee2a06da139f223d9f2b5c812f740502cbb</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAHIElEQVR4nO3cT0iTfwDH8e/8l4alqRhFJQZZUViQEBRlkNAhuyh2W3RSiNh1xx26RKddPQqeTAjsUCBSUEFksKgQnGRWLHImsv67cvsdHhj7qay5fT/PM+z9ujqf57uv7+fZ83wf1ZdOpw1gW5nXA8DmRFiQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnCggRhQYKwIEFYkCAsSBAWJAgLEoQFCcKCBGFBgrAgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnCggRhQYKwIEFYkCAsSBAWJAgLEoQFCcKCBGFBgrAgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnCggRhQYKwIEFYkCAsSBAWJAgLEoQFCcKCBGFBgrAgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnPwlpcXIxGo17t3U3JZHJmZiaRSHg9EFd5EFYqlbp27Vpzc/PBgwd37Nhx+/Zt98fgmnA4XF9f39bW1tTUdP369XQ67fWI3JJ218TERHt7e/YAysrKBgYG4vG4yyNRm52d7e3tXTXbnZ2dkUjE66G5wb2w3r9/7/f7nfndu3dvMBh8+/btmTNntmzZYoypr6+/efPmr1+/XBuPzvfv30OhUHV1tTGmpqamq6trfn7+6tWrjY2NzoHk9/s/ffrk9TC13Ajr27dvmYneunVrKBT6+fNn5qvT09Pd3d1OcAcOHLh7964LQxJJpVIjIyP79u0zxvh8vr6+vrm5ucxXl5aWgsGgcyDV1taGQqHNcSCtSxvW2ol+9+7duq8cHx8/cuSIk1dXV9fr16+lA1OYnJw8deqU8xY6OjoeP3687sui0WhfX1/mQBoZGXF5nMWLxWLDw8O5XyMM69mzZ9kT/eTJk9yvTyaTzqWuMaaysrK/v39hYUE3PItisVh/f39ZWZkxZteuXYODgysrK7m/ZXx8/OjRo87knD9//tWrV+4MtUjLy8vhcHj79u3l5eUvX77M8UpJWNkTvXv37nwmOmNxcTEQCJSXlxtjGhoawuHwnz9/FIO0wpnobdu2GWOqqqoCgUAikcjze5PJ5ODgYFNTkzGmoqKi9A+k0dHR1tZW52Do6enJ/pRfy3JYayf6y5cvBWxnamrqwoULzns4fPjw/fv37Y7TirGxsf379zuD7O7ufvPmTQEbWXsg/f792/pQi5T94zh06NC9e/f++i02wxobG8sUXfBESzdoi/XuC/jJuaPg7u2EFYlEzp49qzjBFPNZoyD9pLZyCrSlyE/qYsP6/PmzC5dExVy02eLOvUXm6tjbA6n4e4vCw3Imuq6uzpnoQCCwtLRU8Nbykef9vMKq1RD1TdzHjx83eptpi63VkALD8mrZKf+FMVtWrd+6uez0/Pnz06dPO7s+ceLEo0ePpLuzu3674bCmp6cvXrzovNu2tjZPFsqzn5msXcq3JXuivXri5BxILS0t6y7l27KysjI0NLRz506LT5w2EJYz0VVVVSXyaC/74eOePXuGhoZSqZSVLTsT3dzcbHGii+EcSDU1NZkD6cePH7Y2/vDhw+PHjzvTaPEZeV5hrZ3o+fl5K7sv3oMHD44dO5aZlxcvXpTaBm358OGD3+/3+Xy2DiTrG8z297CyJ/rcuXOlM9EZtk4wulOgRdknmJMnTz59+rSAjay9lrB4CnTkCmtubq6np8d5D62traOjo3b3bVcxl0TuXLTZUswlkTsXbencYU1NTVVWVpb+RGfb6E2c+7eZtnz9+jUUCm3oJm5yctK128y/fBQODw/HYjHd7kXyXA3xcGHMljyXndxfGHP7V5Ndk3uhvBSW8i3KsVDu1VL+pg3Lkf1or66u7vLlywsLC5cuXaqtrS2Rh4+2rHq019HRMTMzc+PGDa8ePm7ysByRSKSzs9P8X29v7+zsrNdDsywejw8MDDhn4oz29vaJiQmXR/JPhOUIBoMVFRXGmOrq6lu3bnk9HKE7d+40NDQ494xXrlzx5Be8fOl/5y/djEkkEvF4vKWlxXl+sLlFo9HGxkbnT4Pc92+FBdfwvxsgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnCggRhQYKwIEFYkCAsSBAWJAgLEoQFCcKCBGFBgrAgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnCggRhQYKwIEFYkCAsSBAWJAgLEoQFCcKCBGFBgrAgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnCggRhQYKwIEFYkCAsSBAWJAgLEoQFCcKCBGFBgrAgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBYn/AL0cFah4O3OmAAAAiXpUWHRyZGtpdFBLTCByZGtpdCAyMDI0LjA5LjYAAHice79v7T0GIBAAYiYGCGADYlYgbmBkY0gA0ozMEJqJCT/NyMzNwMjAyMTAxMzAzMLAwsrgBDJOPAgkxwAzPDa31c7uhaQdiJOWtsyegcHBHsJWc4ApmjWz0gEhvgwurrXyuMOHVkmwuBgAghUVbxDZC9cAAADgelRYdE1PTCByZGtpdCAyMDI0LjA5LjYAAHichZHNDoIwDIDvPEVfwKbb2MiOwIgxhpEoevdgohdOHnx8OwQHaKRbk/5869au29yuz0t3TSDIwe3vD/iIdAnH6c+21sJZEVFSQzCgqLY7D2WbF2OkbE6+PYIBzSd4zcm8beoxIqAEQmnIEHMoNKneoF7iScmcQDVEMdODseQUcxINLdJfXMqcQrtaTzOnUa7WM8wZlMqmfVpbm/3kKu9m/b8nUjTexYmEJWPj7ICK/QnWNLYhWHV8rWA108umpYM/fhPbyQvdz2OI9uvGSQAAAFp6VFh0U01JTEVTIHJka2l0IDIwMjQuMDkuNgAAeJwtyEEKwDAIRNGrdNnCMBitBnGZa+XwNdC/+ry1Tte+hRoSEA4XQw1a/3SUshVlzB+ceiColm+bZ048+wNDUA9DRhOktgAAAABJRU5ErkJggg==\" alt=\"Mol\"/></div></td>\n",
       "      <td>3</td>\n",
       "      <td>n-hexane</td>\n",
       "      <td>-3.84</td>\n",
       "      <td>(A) low</td>\n",
       "      <td>CCCCCC</td>\n",
       "      <td>train</td>\n",
       "      <td>CCCCCC</td>\n",
       "      <td>4805255b6fca4cd1ded46684e2d235b32b10a7de</td>\n",
       "      <td>e17162b3cb35e54abaac43010d353818a906b189</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                mol  ID          NAME   SOL  \\\n",
       "0  <rdkit.Chem.rdchem.Mol object at 0x727ebf7de6c0>   1     n-pentane -3.18   \n",
       "1  <rdkit.Chem.rdchem.Mol object at 0x727ebf7de810>   2  cyclopentane -2.64   \n",
       "2  <rdkit.Chem.rdchem.Mol object at 0x727ebf7de880>   3      n-hexane -3.84   \n",
       "\n",
       "  SOL_classification   smiles  split MOL_smiles  \\\n",
       "0            (A) low    CCCCC  train      CCCCC   \n",
       "1         (B) medium  C1CCCC1  train    C1CCCC1   \n",
       "2            (A) low   CCCCCC  train     CCCCCC   \n",
       "\n",
       "                             MOL_molhash_id  \\\n",
       "0  3cb2e0cf1b50d8f954891abc5dcce90d543cd3d7   \n",
       "1  6048cdc5644dbdfc18925e06cb862c118a5ace7d   \n",
       "2  4805255b6fca4cd1ded46684e2d235b32b10a7de   \n",
       "\n",
       "                   MOL_molhash_id_no_stereo  MOL_num_stereoisomers  \\\n",
       "0  36551d628217a351e720cdbe676fca3067730a91                    1.0   \n",
       "1  1622fee2a06da139f223d9f2b5c812f740502cbb                    1.0   \n",
       "2  e17162b3cb35e54abaac43010d353818a906b189                    1.0   \n",
       "\n",
       "   MOL_num_undefined_stereoisomers  MOL_num_defined_stereo_center  \\\n",
       "0                              1.0                            0.0   \n",
       "1                              1.0                            0.0   \n",
       "2                              1.0                            0.0   \n",
       "\n",
       "   MOL_num_undefined_stereo_center  MOL_num_stereo_center MOL_undefined_E_D  \\\n",
       "0                              0.0                    0.0             False   \n",
       "1                              0.0                    0.0             False   \n",
       "2                              0.0                    0.0             False   \n",
       "\n",
       "  MOL_undefined_E/Z  OUTLIER_SOL  CLS_SOL  \n",
       "0                 0        False      0.0  \n",
       "1                 0        False      1.0  \n",
       "2                 0        False      0.0  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset[dataset.OUTLIER_SOL==False].head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b7543b8f-4c8d-4a92-8d2f-b3624e475c08",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "pygments_lexer": "ipython3",
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