{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import pandas as pd\n",
    "from suno_utils.utils.text import read_jsonl\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from collections import defaultdict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "labelbox_path = \"outputs/Export  project - auk_prod_fix5-vs-v35_prod_fix5-preference - 5_7_2025.ndjson\"\n",
    "labelbox_data = read_jsonl(labelbox_path)\n",
    "\n",
    "metadata_filepath = \"outputs/metadata-auk_prod_fix5-vs-v35_prod_fix5-20250428.json\"\n",
    "metadata = json.load(open(metadata_filepath, \"r\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "AssertionError",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAssertionError\u001b[0m                            Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[3], line 16\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m label \u001b[38;5;129;01min\u001b[39;00m labels:  \u001b[38;5;66;03m# represents each rating of the row, should be consensus count\u001b[39;00m\n\u001b[1;32m     15\u001b[0m     classifications \u001b[38;5;241m=\u001b[39m label[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mannotations\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mclassifications\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m---> 16\u001b[0m     \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(classifications) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m4\u001b[39m  \u001b[38;5;66;03m# should equal expected question count per data row\u001b[39;00m\n\u001b[1;32m     17\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m c \u001b[38;5;129;01min\u001b[39;00m classifications:\n\u001b[1;32m     18\u001b[0m         question \u001b[38;5;241m=\u001b[39m c[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mname\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n",
      "\u001b[0;31mAssertionError\u001b[0m: "
     ]
    }
   ],
   "source": [
    "results = []\n",
    "for row in labelbox_data:\n",
    "    row_id = row[\"data_row\"][\"global_key\"]\n",
    "    ground_truth = metadata[row_id][\"orig_pref\"].upper()\n",
    "    genre = metadata[row_id][\"genre\"].lower()\n",
    "    instrumental = metadata[row_id][\"lyrics\"] == [\"Instrumental\"]\n",
    "    style_prompt = metadata[row_id][\"tags\"]\n",
    "\n",
    "    projects = list(row[\"projects\"].keys())\n",
    "    assert len(projects) == 1\n",
    "    project_id = projects[0]\n",
    "    project = row[\"projects\"][project_id]\n",
    "    labels = project[\"labels\"]\n",
    "    for label in labels:  # represents each rating of the row, should be consensus count\n",
    "        classifications = label[\"annotations\"][\"classifications\"]\n",
    "        if len(classifications) != 4:\n",
    "            print(classifications)\n",
    "        # assert len(classifications) == 4  # should equal expected question count per data row\n",
    "        for c in classifications:\n",
    "            question = c[\"name\"]\n",
    "            answer = c[\"radio_answer\"][\"value\"]\n",
    "\n",
    "            if ground_truth == \"B\":  # un-do randomized ordering\n",
    "                if answer == \"A\":\n",
    "                    answer = \"B\"\n",
    "                elif answer == \"B\":\n",
    "                    answer = \"A\"\n",
    "\n",
    "            if answer == \"I don't understand any of the style prompt\":\n",
    "                answer = \"Skip\"\n",
    "\n",
    "            results.append(\n",
    "                {\n",
    "                    \"row_id\": row_id,\n",
    "                    \"ground_truth\": ground_truth,\n",
    "                    \"genre\": genre,\n",
    "                    \"style\": style_prompt,\n",
    "                    \"instrumental\": instrumental,\n",
    "                    \"question\": question,\n",
    "                    \"answer\": answer,\n",
    "                }\n",
    "            )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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>row_id</th>\n",
       "      <th>ground_truth</th>\n",
       "      <th>genre</th>\n",
       "      <th>style</th>\n",
       "      <th>instrumental</th>\n",
       "      <th>question</th>\n",
       "      <th>answer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>85782ded-4005-4926-8d27-2fed94d6f5b7_v4_prod-v...</td>\n",
       "      <td>A</td>\n",
       "      <td>r&amp;b</td>\n",
       "      <td>808, smooth, r&amp;b, bass, soul, blues, male voca...</td>\n",
       "      <td>False</td>\n",
       "      <td>Which track has better audio quality?</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>85782ded-4005-4926-8d27-2fed94d6f5b7_v4_prod-v...</td>\n",
       "      <td>A</td>\n",
       "      <td>r&amp;b</td>\n",
       "      <td>808, smooth, r&amp;b, bass, soul, blues, male voca...</td>\n",
       "      <td>False</td>\n",
       "      <td>Which track do you prefer musically?</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>85782ded-4005-4926-8d27-2fed94d6f5b7_v4_prod-v...</td>\n",
       "      <td>A</td>\n",
       "      <td>r&amp;b</td>\n",
       "      <td>808, smooth, r&amp;b, bass, soul, blues, male voca...</td>\n",
       "      <td>False</td>\n",
       "      <td>Which track better matches the style tag?</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>85782ded-4005-4926-8d27-2fed94d6f5b7_v4_prod-v...</td>\n",
       "      <td>A</td>\n",
       "      <td>r&amp;b</td>\n",
       "      <td>808, smooth, r&amp;b, bass, soul, blues, male voca...</td>\n",
       "      <td>False</td>\n",
       "      <td>Which track follows the lyrics more closely?</td>\n",
       "      <td>Equal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>04d22fe4-d08a-44cc-84cf-a39710bbe2f9_v4_prod-v...</td>\n",
       "      <td>B</td>\n",
       "      <td>jazz</td>\n",
       "      <td>jazz, tenor saxophone, percussion</td>\n",
       "      <td>True</td>\n",
       "      <td>Which track better matches the style tag?</td>\n",
       "      <td>Equal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              row_id ground_truth genre  \\\n",
       "0  85782ded-4005-4926-8d27-2fed94d6f5b7_v4_prod-v...            A   r&b   \n",
       "1  85782ded-4005-4926-8d27-2fed94d6f5b7_v4_prod-v...            A   r&b   \n",
       "2  85782ded-4005-4926-8d27-2fed94d6f5b7_v4_prod-v...            A   r&b   \n",
       "3  85782ded-4005-4926-8d27-2fed94d6f5b7_v4_prod-v...            A   r&b   \n",
       "4  04d22fe4-d08a-44cc-84cf-a39710bbe2f9_v4_prod-v...            B  jazz   \n",
       "\n",
       "                                               style  instrumental  \\\n",
       "0  808, smooth, r&b, bass, soul, blues, male voca...         False   \n",
       "1  808, smooth, r&b, bass, soul, blues, male voca...         False   \n",
       "2  808, smooth, r&b, bass, soul, blues, male voca...         False   \n",
       "3  808, smooth, r&b, bass, soul, blues, male voca...         False   \n",
       "4                  jazz, tenor saxophone, percussion          True   \n",
       "\n",
       "                                       question answer  \n",
       "0         Which track has better audio quality?      A  \n",
       "1          Which track do you prefer musically?      A  \n",
       "2     Which track better matches the style tag?      A  \n",
       "3  Which track follows the lyrics more closely?  Equal  \n",
       "4     Which track better matches the style tag?  Equal  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(results)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Overall Preference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def score_question(q_text, df):\n",
    "    df_q_only = df[df.question == q_text]\n",
    "\n",
    "    preference_counts = df_q_only[\"answer\"].value_counts()\n",
    "    preference_percentages = df_q_only[\"answer\"].value_counts(normalize=True) * 100\n",
    "\n",
    "    print(\"\\n\" + q_text)\n",
    "    for key in preference_counts.keys():\n",
    "        print(f\"{key}: {preference_counts[key]} votes {preference_percentages[key]}%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Which track better matches the style tag?\n",
      "Equal: 124 votes 55.111111111111114%\n",
      "A: 65 votes 28.888888888888886%\n",
      "B: 32 votes 14.222222222222221%\n",
      "Skip: 4 votes 1.7777777777777777%\n",
      "\n",
      "Which track follows the lyrics more closely?\n",
      "Equal: 173 votes 76.88888888888889%\n",
      "A: 45 votes 20.0%\n",
      "B: 7 votes 3.111111111111111%\n",
      "\n",
      "Which track has better audio quality?\n",
      "A: 181 votes 80.44444444444444%\n",
      "B: 44 votes 19.555555555555557%\n",
      "\n",
      "Which track do you prefer musically?\n",
      "A: 170 votes 75.55555555555556%\n",
      "B: 55 votes 24.444444444444443%\n"
     ]
    }
   ],
   "source": [
    "Q1 = \"Which track better matches the style tag?\"\n",
    "Q2 = \"Which track follows the lyrics more closely?\"\n",
    "Q3 = \"Which track has better audio quality?\"\n",
    "Q4 = \"Which track do you prefer musically?\"\n",
    "\n",
    "score_question(Q1, df)\n",
    "score_question(Q2, df)\n",
    "score_question(Q3, df)\n",
    "score_question(Q4, df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sung vs Instrumentals\n",
    "\n",
    "Is the preference split different for instrumentals vs vocal tracks?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Which track better matches the style tag?\n",
      "Equal: 48 votes 57.14285714285714%\n",
      "A: 19 votes 22.61904761904762%\n",
      "B: 13 votes 15.476190476190476%\n",
      "Skip: 4 votes 4.761904761904762%\n",
      "\n",
      "Which track has better audio quality?\n",
      "A: 48 votes 57.14285714285714%\n",
      "B: 36 votes 42.857142857142854%\n",
      "\n",
      "Which track do you prefer musically?\n",
      "A: 46 votes 54.761904761904766%\n",
      "B: 38 votes 45.23809523809524%\n"
     ]
    }
   ],
   "source": [
    "score_question(Q1, df[df.instrumental])\n",
    "score_question(Q3, df[df.instrumental])\n",
    "score_question(Q4, df[df.instrumental])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Which track better matches the style tag?\n",
      "Equal: 76 votes 53.90070921985816%\n",
      "A: 46 votes 32.62411347517731%\n",
      "B: 19 votes 13.47517730496454%\n",
      "\n",
      "Which track has better audio quality?\n",
      "A: 133 votes 94.32624113475178%\n",
      "B: 8 votes 5.673758865248227%\n",
      "\n",
      "Which track do you prefer musically?\n",
      "A: 124 votes 87.94326241134752%\n",
      "B: 17 votes 12.056737588652481%\n"
     ]
    }
   ],
   "source": [
    "score_question(Q1, df[~df.instrumental])\n",
    "score_question(Q3, df[~df.instrumental])\n",
    "score_question(Q4, df[~df.instrumental])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preference by Genre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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WyWKxqFmzZqpfv36e+iZNmqhRo0batWtXkcbLzMzUhg0bJKnA21jvvfde/fDDD/k+4CE/27dv18WLFxUQEKAePXrkqQ8ODla3bt303XffFWm8K7Fz506tWrVKkZGRSkpKksVikZS9nhaLRYcPH1bTpk1LfLn/1r9/f1WtWlWrVq3S/v37FR4eLin71ugFCxbIbDbrwQcfLLD/ww8/rMzMTH344YcaMmRIqcYKALhyJKUAAGWqcuXKql27tg4dOqTVq1dryJAhuSY5z/Hvyc5HjhxpbVO7dm1Vrly5wPFDQ0PzLffy8pIkpaamXjbGnEmj69ate0VzH5XU8m1xubmOJk+erFdeeUUZGRkFtklMTLS+PnHihCSpUqVKV/xY9w0bNmjt2rVydXXVunXrVLNmzSvq/1+X26b5TZp+pevr6empuXPn6u6779YLL7xgTajdeOON6tGjh4YMGZJnHq+iKCixlVOekpKiCxcuqGLFijp69Kgk6ciRI5fd786dO3fFsRQmMjJShmEoJSVFLi4uNi37SufbynH27FkNHDhQ69evL7RdYmJisZNS0dHRkgr+/5JTV9Sk1IULF6yf6YLGzNn/i5qQzomxsO1ZEgnTf0tKStLw4cO1dOnSQtv9+zNTWhwdHfXQQw9p/PjxmjFjhmbMmCFJ+vTTT5WUlGRNWuUnLi5OR44ckSQNGzas1GMFAFw5klIAgDLXqVOnPEkpf39/NWjQwNqmfv36CgwMtF5dkPPfwq6SkiQHh7J90GxZLd/Nza3Aum+++UaTJk2Sh4eHZsyYoc6dOyskJERubm4ymUx67rnnNHXqVOuVKcUVEREhJycnbd26VWPHjtWSJUsKje9yrnSb2rq+AwcOVNeuXfXdd9/p999/14YNG7R06VItXbpUL774on755Rc1bNjQ5vUoSE4cOVelBAcHq3v37oX2CQgIKNEYcpbt4eGR74T3RWHr/+P77rtP69evV+vWrTV58mQ1btxYvr6+cnJykiSFhITo9OnTV7x/5qwT/qegbTJ+/HgtXbpU4eHheu2119SiRQsFBARYH5bQpk0bbdy4scSOEZdz//33a8qUKZo/f76mTp0qDw8PzZw5U1LhE5wnJSVZX9uSRAYAlD6SUgCAMtepUyd98sknWr16tU6cOKHIyEj1798/z9UhN910k5YsWaJjx45Zr5S6XFKqJORcmXPw4EEZhnHFV0tdbRYvXixJeuWVVzRq1Kg89YcOHcpTlrMNTp8+rYSEhCu6WsrHx0ffffedevfurRUrVuiWW27RDz/8YLc/Em1Z3xze3t4aPny49amPUVFRGjt2rJYtW6YxY8Zo7dq1VxRLZGRkvuXHjh2TJLm6ulqfKpdz9Ye/v7/mzZt3Rcsprpxlm0wm/d///Z/dkqtJSUn68ccf5eDgoB9//FE+Pj556mNiYvLt6+TkpIyMDF28eFGenp556nOuePy3nKssc7Z/fgqr+y9/f3+5uLgoLS1NR48eVaNGjfK0ybkCrrArPEsqxpwk0sWLF/Otz2+bSP/7zHz55Zf5rkNhn5nS4O/vr6FDh2r27NmaP3++6tSpowMHDqh+/frq3Llzgf0qVKiQ50mlAICrS9n+fAwAgP53m96RI0e0YMGCXGX/lnML38KFC3Xw4MEC25W05s2bKyAgQOfOndO3335b6ssrTM7VIjnzIdkiNjZWklStWrU8dWfPntUvv/ySpzw4OFiNGzeWxWLR//3f/13xMr28vLRy5Up169ZNa9euVdeuXRUXF3flwdvAlvUtSNWqVTV58mRJ0o4dO644lpz9+7/mz58vSWrXrp0cHbN/M8y5OmXv3r3Wea+KKicZUdB+crn6kJAQNWrUSBcvXtTKlSuvaNnFkZCQoKysLHl5eeVJSEnZ26+gq3Nykjf79u3LU7dr1y5FRUXlKb/ppptkMpm0fft27d+/P0/9zp07i3zrnpR9q1m7du0kqcBEYs7np6gJ9WbNmsnDw0Pnz5/Xzz//nKf+zJkz+ZZLhW8TwzC0YsWKfPsV9pn56aefdP78+SLFfjmX2w//bdy4cZKkDz74wHoL38MPP1xoH19fX82bN8/uSV0AQNGRlAIAlLng4GDrJNVvvfWWpMKTUm+//bak7Imtg4ODSz0+R0dHPf/885KkUaNGad26dXnabNmyxTr3S2mqUqWKJF1xkuLfcrb1J598ovT0dGt5QkKCRo4cqYSEhHz7TZw4UZL0/PPPa8mSJXnq9+7dm+8fvznc3d31/fffa8CAAdq8ebM6duyoM2fO2LweRWXL+v7111/68ssvlZKSkqfu+++/l5T/H+yXs23bNk2bNi1X2fr16/XBBx9Ikh577DFruZOTkyZOnCjDMNS/f/9851jKysrSb7/9pk2bNuUqv9x+EhgYKGdnZ8XExFgTEP/18ssvS5Luvvtu6zr/m2EY2rx5c4EJEVsEBQXJ19dX8fHx+uyzz3LVbdq0SePHjy+wb9euXSVlzx/273nFjh07ppEjR+abzAoNDVX//v1lsVj04IMP5pojKS4uTg899NAV36L2xBNPSJI+/PBDrVq1KlfdvHnz9N1338nJyUmPPPJIkcZzc3OzXuH32GOP6fTp09a6lJQUPfjgg/nup9L/tslnn32mvXv3WsszMjL0zDPPaMuWLfn2y/nMvP/++7nKDxw4oNGjRxcp7qIoyn6Yo2HDhurcubP27dun7777Tl5eXgU+OCDHyZMnFR4ervDw8FJ7qAQAoHhISgEArgo5Vw3ExsbKz88v37l6GjZsKD8/P+sfL/a4dS/HI488otGjR+v8+fPq0KGDbrjhBg0ePFi9evVSzZo11bJlSx0+fLjU48iZ36dr16664447dN999+m+++7ThQsXijzGo48+Kh8fH/3444+qUaOGBg0apL59+6patWrauXOn7rnnnnz79e/fX6+88opSU1M1aNAg1atXT3feeaf69u2riIgIRUREaPPmzYUu29nZWYsXL9bw4cO1a9cu3XTTTflewVKSbFnf48eP684775S/v7/atWunwYMH67bbblN4eLgmTJggZ2fnPMmlohg3bpzGjx+vBg0aaMiQIerYsaM6dOig5ORkPfLII9an/+UYM2aMnnrqKR06dEjt27dXgwYN1K9fPw0ePFidOnVSQECAunTpkueqrZz9ZNiwYRo4cKB1P8l5YqWTk5NuvfVWZWVlqUmTJhoyZIi1TY4+ffrovffeU2xsrG699VbVrl1bvXv31tChQ9WtWzcFBwfrxhtv1G+//XbF26EgZrNZL774oqTsJxXeeOONGjJkiNq1a6c2bdqod+/eBSYDn3vuOev/5zp16mjQoEHq0KGD6tevr4CAALVp0ybffh988IFq1qypNWvWKCwsTAMHDtSAAQNUo0YNnTlzRrfeeusVrcMtt9yiF154Qampqbr55pvVvn17DR06VM2aNdPdd98ts9msjz76SBEREUUec8qUKWrZsqX27t2rOnXq6NZbb9Xtt9+uGjVqaN26dQUmZ9q2bau+ffvq0qVLat68ubp166a+ffuqRo0a+vjjjwtMjE2cOFEmk0kTJkxQo0aNNHjwYHXp0kUNGzZUjRo1CtyWV6oo++G/5VwtJWU/sfJytwBnZGTowIEDOnDgQKEPOQAAlCEDAICrwFdffWVIMiQZ/fr1K7Bd3759re2++uqrAtvltClIhw4dDEnG6tWri1SeY8WKFUbfvn2NoKAgw8nJyQgMDDRatmxpTJ482bhw4YK13dy5cw1JxsiRI/MdJzIy0pBkVKtWrcAY85OSkmI8/fTTRq1atQxnZ2frekZGRhZpuf9e/tChQ43Q0FDDxcXFqFatmjF69GgjJibGmDhxoiHJmDhxYr59N27caAwePNioXLmy4eTkZPj5+RmNGzc2nn76aeP48ePWdqtXrzYkGR06dMgzhsViMR588EHrNjh06NBl172w8XIU9P/9Stf39OnTxmuvvWb07NnTCAsLM9zd3Q0vLy+jfv36xsMPP2zs37//svH+27/3q1WrVhldunQxvL29DTc3N6N58+bGvHnzCu2/YcMGY+jQoUa1atUMFxcXw9PT06hTp47Rr18/Y/bs2UZsbGyu9llZWcbUqVONiIgIw9XV1bpd/r1fX7hwwXjggQeM0NBQw8nJqcBt9/fffxujRo0yateubbi6uhru7u5GjRo1jO7duxvTp083Tp48mat9tWrVcu2Ttvj222+NNm3aGD4+PoaHh4fRvHlzY+bMmYbFYil0/L179xoDBgwwfH19DRcXF6Nu3brGyy+/bKSnpxf62T5//rwxduxYo0qVKoazs7NRpUoVY/To0ca5c+eMkSNHGpKMuXPn5upzuc/JihUrjJ49exr+/v6Go6OjERwcbNx2223G5s2bbdomSUlJxoQJE4yaNWsazs7ORlBQkDF06FAjMjKy0FhSU1ONF154wahRo4bh5ORkVKxY0Rg8eLBx+PDhQo8X69atM7p06WIEBAQY7u7uRoMGDYxXXnnFSEtLK3BbFrStCltOUfdDwzCMixcvGmaz2TCZTEX6DOYcZ4u7PwIASo/JMOz02AwAAAAAJW7SpEmaPHmyJk6cqEmTJpV1OKVm9uzZuv/++9WtWzf99NNPZR0OAKAEcPseAAAAgKtaUlKSpk6dKul/83YBAK59jmUdAAAAAADk54033tDu3bu1fv16HT16VD169FC3bt3KOiwAQAkhKQUAAADgqrR8+XKtXbtWAQEBuuuuu6xPXwUAlA9X3e1769atU58+fRQSEiKTyaRvv/02V71hGHrxxRdVqVIlubm5qWvXrjp06FCuNrGxsRo6dKi8vLzk4+Oje++9V5cuXbLjWgAAAAD2MWnSJBmGUS7nk1qzZo0Mw9C5c+c0d+5c+fr6lnVIAIASdNUlpZKSktS4cWN98MEH+dZPmzZN06dP10cffaTNmzerQoUK6t69u1JTU61thg4dqj179uiXX37RDz/8oHXr1mnUqFH2WgUAAAAAAABcxlX99D2TyaSlS5eqX79+krKvkgoJCdETTzyhJ598UpKUkJCgoKAgzZs3T3feeaf27dun+vXra8uWLWrevLkkaeXKlerZs6eio6MVEhJSVqsDAAAAAACAf1xTc0pFRkYqJiZGXbt2tZZ5e3urVatW2rhxo+68805t3LhRPj4+1oSUJHXt2lUODg7avHmz+vfvn+/YaWlpSktLs763WCyKjY2Vv7+/TCZT6a0UAAAAAABAOWIYhi5evKiQkBA5OBR8k941lZSKiYmRJAUFBeUqDwoKstbFxMSoYsWKueodHR3l5+dnbZOfqVOnavLkySUcMQAAAAAAwPUpKipKVapUKbD+mkpKlabx48fr8ccft75PSEhQaGiooqKi5OXlVYaRFd/JiX+UdQilpvLkNlfch+2RG9sjr/K6TdgeubE9cmN75Gbr9mgw8acSjuTqsXty9yvuU173D4lz7n+xPXLjmJobx9TcbDmeSuwf/1Ve9w/J9n3kapKYmKiqVavK09Oz0HbXVFIqODhYknTmzBlVqlTJWn7mzBk1adLE2ubs2bO5+mVmZio2NtbaPz8uLi5ycXHJU+7l5XXNJ6USXSqUdQilxpb/N2yP3NgeeZXXbcL2yI3tkRvbIzdbt4eDi3sJR3L14ByTG9sjN7ZHbhxTc+OYmhv7R27sH3ld6zmIf7vcdEhX3dP3ChMWFqbg4GCtWrXKWpaYmKjNmzerdevWkqTWrVsrPj5e27Zts7b57bffZLFY1KpVK7vHDAAAAAAAgLyuuiulLl26pMOHD1vfR0ZGaseOHfLz81NoaKgeffRRvfzyy6pdu7bCwsI0YcIEhYSEWJ/QV69ePfXo0UP333+/PvroI2VkZGjMmDG68847efIeAAAAAADAVeKqS0pt3bpVnTp1sr7Pmedp5MiRmjdvnp5++mklJSVp1KhRio+PV7t27bRy5Uq5urpa+yxcuFBjxoxRly5d5ODgoIEDB2r69Ol2XxcAAAAAAADk76pLSnXs2FGGYRRYbzKZNGXKFE2ZMqXANn5+flq0aFFphAcAAAAAAK5Rro4m+bo6yKHwqY7KVGpqalmHcFlOTk4ym83FHueqS0oBAAAAAACUJJOkAfUqqEsNDzmZTf+UXJ0iIyPLOoQi8fHxUXBw8GUnMy8MSSkAAAAAAFCuDahXQb3DveXrFyCTo7NUjERKaQsLvrqfvmcYhpKTk3X27FlJUqVKlWwei6QUAAAAAAAot9wcTepSw0O+fgFycPMs63Au699zZl+t3NzcJElnz55VxYoVbb6Vz6EkgwIAAAAAALia+Lg6yMlsyr5CCiXG3d1dkpSRkWHzGCSlAAAAAABAuZU9qbnpqr5l71pUnLmkcpCUAgAAAAAAgN2RlAIAAAAAAChhH779mjo1raPGVX3128rlZR3OVYmJzgEAAAAAwHVrwmMP6buvP5ckOTo5qVJIFfUedKfuG/O4HB1tS5scPXRAH73zut6ZtUCNbmguL2+fEoy4/CApBQAAAAAArmttO3bRlLc+UHp6mtb/9otefeEpOTk66t4xj+dql5GeLifny0+YHnU8UpLUqXvPYs29lJGRIScnJ5v7X+24fQ8AUGIuJMdrwi/v6sYPb1ONNzqr0fQ+uvOLR3U8/lS+7Tee+EtVX7+pwH+L/14hSTpy4YRu//wR1X27u9p+dIe1PMf3+35T7bdu1rG4k6W+jgAAAFc7vpNdOWdnFwVUDFJIlVDdPuJetWrXUWt+WakJjz2kR+8dqlnT31TXZvV0a8cWkqSYU9F66sG71S6imto3CNMj9wzRyagTkrJv2xt392BJUpNQPzWu6mtdzjefz1e/Tq3Uolaw+nZsqS8/nW2tOxl1Qo2r+urLL79Uhw4d5OrqqoULF0qSZs+erXr16snV1VXh4eGaOXOmtd+xY8dkMpn0zTffqFOnTnJ3d1fjxo21cePGXOu4YcMGdezYUe7u7vL19VX37t0VFxcnSbJYLJo6darCwsLk5uamxo0b6+uvvy6FLZ0bV0oBAEpEbHK8bp3/gE4knJaz2UlhflUlw9C2k3t05tJ5VfMJydPHw9ldTSvVz1V2PjlWUQkxkqSKFfwlSU+ueE1HYqO0btRCvbb2Yz214nXdEFJftfyrKT71oiaumq7H292t6r6VS39FAQAArmJ8JysZrq6uSoiPlSRt3rBOFTw99dGibyRlX7304LBBanRDC839+keZHR01a/qbemj4IH3983qNfGCMQqqE6sUnHtaqbfutYy5fulgz35yqZ1+epvCIRtq/Z5emPP2I3Nwr6NbbBlvbPfvss3rrrbfUtGlTa2LqxRdf1IwZM9S0aVP99ddfuv/++1WhQgWNHDnS2u/555/Xm2++qdq1a+v555/X4MGDdfjwYTk6OmrHjh3q0qWL7rnnHr333ntydHTU6tWrlZWVJUmaOnWqFixYoI8++ki1a9fWunXrNGzYMAUGBqpDhw6ltp1JSgEASsQbv8/WiYTTqhMQpkV3vKUgjwBJUnpWhgzDyLdPw+C6+m7ER7nK7vr6GUUlxKimX6g6hGX/ErXn7GFFVKylII8ANa/cUF/v/kkHzkWqln81vfzbBwry8Nf9LW4v3RUEAAC4BvCdrHgMw9Dm9Wv1x7rfNPiu+xV34YLc3N01adp06217P3zzpSwWiya9Md16a96Utz5Qu4jq2rJxvdp06CxPL29JUkDFIOvYH771mp6Y8JK63tJHklQltJqOHjygrxfOzZWUevTRRzVgwADr+4kTJ+qtt96yloWFhWnv3r36+OOPcyWlnnzySfXq1UuSNHnyZEVEROjw4cMKDw/XtGnT1Lx581xXWEVEREiS0tLS9Oqrr+rXX39V69atJUk1atTQ+vXr9fHHH5OUAgBc3QzD0Pf7V0uSQjwrasiXTygq4bSq+1TWQzcOVb/6XYs0zqHzx/TbkU2SpFEt7rCe5CMq1tKR2CiduXReW0/+LQeTg+oGhumP49u1ZM9P+m74R3J04JQGAACub3wns926VT/pxrpVlJmZIcNi0S39Bmn0489q6vNPqXZ4/VzzSB3cu1tRx46qdXjVXGOkpaUq+p+5pP4rOTlJUccjNempcZr8zKPW8qysTHl4euVq27x5c+vrpKQkHTlyRPfee6/uv/9+a3lmZqa8vb1z9WvUqJH1daVKlSRJZ8+eVXh4uHbs2KHbbrst39gOHz6s5ORk3XzzzbnK09PT1bRp03z7lJRrc28BAFxVLiTHKyH1oiRpTeRmBXsEytvFU/vOHdHY76fIycFRvcI7Xnacj//8QoYMBbj7amCD7tbyN295Vs/+9KbafzJEge6+mtbjaVXxDtbdS57Vfc1v1/nkeHWdM1Ixl87rxqpNNLX7Ewqs4FdaqwsAAHBV4juZ7Vq0aa/nX3lLTs5OCgyqlOupe25u7rnaJiclqV7DJpo6/ZM84/j6++c7fkpSkiTpxWnvqmGT5rnqHMzmXO8rVKhgfX3p0iVJ0qxZs9SqVatc7cz/6ffvCdFzEokWi+WfdXDLN65/L2P58uWqXDn3rZcuLi4F9isJJKUAAMWWacmyvq7tX00r7/4/SVKPuffo0IXjmrf9m8t+ATp76YK+3furJOmuZgPk4vi/X6Nq+ofqqyHTc7WfuuYjGYY08ob+6vp/IxUeUEPv9HpOo5a+oIm/Omlm30kls3IAAADXCL6T2c7NzV2hYTWK1LZew8b66ful8gsIyHOVU0H8AysqMKiSoo8fV6/+Rb/FMSgoSCEhITp69KiGDh1a5H7/1ahRI61atUqTJ0/OU1e/fn25uLjoxIkTpXqrXn5ISgEAis3f3UfOZielZ2WoXsVacjZn/0pTr2ItHbpwXNH/TJJZmLnbv1FaVrrcndw0omn/QtvuOXNIs7Ys1vzb3tC+c0eUlJ6ivvW76uZabVUvsKZ+P7a1RNYLAADgWsJ3Mvvo2f82zfvofT1y71A9/MR4VaxUWadPRmnViu9194PjFFQp/4neH3riWb3+4rPy8PJS245dlJGWpj27digxIV4jRj1c4PImT56scePGydvbWz169FBaWpq2bt2quLg4Pf7440WKefz48WrYsKEeeughjR49Ws7Ozlq9erVuu+02BQQE6Mknn9Rjjz0mi8Widu3aKSEhQRs2bJCXl1eueatKmkOpjQwAuG44mR3VqkpjSdL+s0eUkZWpjKxM7T97RJIU5ltFktRx1jB1nDVM87YtydU/OT1Fn/31rSTp9oa3yNet4F+csixZenrlG+of0U3tqjezTtjpZM7+neVanccAAACguPhOZh9ubu6a+/VyVapcRY+PGqH+nVtp0pNjlZ6WpgoengX2GzB4hCZOe0/LFi/UoJvb6p7beuu7rxapctVqhS7vvvvu0+zZszV37lw1bNhQHTp00Lx58xQWFlbkmOvUqaOff/5ZO3fuVMuWLdW6dWstW7bMepviSy+9pAkTJmjq1KmqV6+eevTooeXLl1/RMmxRfvcSAIBdPXXTfdq8aKcOXjimNh/dIUmKuXROZpNZY1oPkyQdiT0hSYpNScjV94tdy5WQelFmk/myT2yZvfUrnb54VgvveEuSdENIhNyd3LQucotuqt5C+84dUdeabUp69QAAAK4JfCe7ci+9M/OK6wIqBunldz4ssF/nHr20MyouT3nP/repZ//8JxyvXDVUO6Pi1KiKT566IUOGaMiQIfn2q169ep4nK/r4+OQp69ChgzZs2JDvGCaTSY888ogeeeSRfOtLC1dKAQBKRNOQ+vriznfVOrSpEtIuKi0rXe2rNdfSYR+oTbUbCuyXZcnSnK1fSZJuqXOTQn1CCmx7Iv6U3lr/f5rcZZx8XLN/hQqo4KuZfSfp4Plj6jb3brWtdoMmdx1XsisHAABwjeA7Ga4lXCkFACgxLao01OLB7xVYH/XMujxlZgezNoz+skjjh/qE6ODjP+cp71KztbrUbF30QAEAAMoxvpPhWsGVUgAAAAAAALA7klIAAAAAAACwO5J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      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_answer_distribution_by_genre(dataframe):  # thank you Claude!!!\n",
    "    # Get unique values\n",
    "    questions = dataframe[\"question\"].unique()\n",
    "    genres = dataframe[\"genre\"].unique()\n",
    "    all_answers = dataframe[\"answer\"].unique()\n",
    "\n",
    "    # Set up colors for different answers\n",
    "    colors = plt.cm.tab10(np.linspace(0, 1, len(all_answers)))\n",
    "    color_map = dict(zip(all_answers, colors))\n",
    "\n",
    "    # Create a figure for each question\n",
    "    for question in questions:\n",
    "        # Filter data for this question\n",
    "        q_data = dataframe[dataframe[\"question\"] == question]\n",
    "\n",
    "        # Get only answers that appear in this question\n",
    "        answers_in_question = q_data[\"answer\"].unique()\n",
    "\n",
    "        # Count distribution for each genre and answer\n",
    "        result = defaultdict(dict)\n",
    "        for genre in genres:\n",
    "            genre_data = q_data[q_data[\"genre\"] == genre]\n",
    "            answer_counts = genre_data[\"answer\"].value_counts()\n",
    "            total = len(genre_data)\n",
    "\n",
    "            # Store percentages for each answer\n",
    "            for answer in all_answers:\n",
    "                count = answer_counts.get(answer, 0)\n",
    "                result[genre][answer] = count / total * 100 if total > 0 else 0\n",
    "\n",
    "        # Find answers with non-zero counts across all genres\n",
    "        non_zero_answers = set()\n",
    "        for genre in genres:\n",
    "            for answer in all_answers:\n",
    "                if result[genre][answer] > 0:\n",
    "                    non_zero_answers.add(answer)\n",
    "\n",
    "        # Convert to list and maintain original order\n",
    "        non_zero_answers = [a for a in all_answers if a in non_zero_answers]\n",
    "\n",
    "        # Create the plot\n",
    "        fig, ax = plt.subplots(figsize=(12, 8))\n",
    "\n",
    "        # Set width of bars\n",
    "        bar_width = 0.8\n",
    "\n",
    "        # Set position of bars on x-axis\n",
    "        positions = np.arange(len(genres))\n",
    "\n",
    "        # Keep track of the bottom position for each bar\n",
    "        bottoms = np.zeros(len(genres))\n",
    "\n",
    "        # Plot bars for each answer\n",
    "        for answer in non_zero_answers:\n",
    "            # Get percentages for this answer across all genres\n",
    "            values = [result[genre][answer] for genre in genres]\n",
    "\n",
    "            # Plot this answer as a segment in each bar\n",
    "            ax.bar(positions, values, bar_width, bottom=bottoms, label=answer, color=color_map[answer])\n",
    "\n",
    "            # Update the bottom position for the next answer\n",
    "            bottoms += values\n",
    "\n",
    "        # Add question as title\n",
    "        ax.set_title(f\"{question}\", fontsize=16)\n",
    "\n",
    "        # Add labels and legend\n",
    "        ax.set_xlabel(\"Genre\", fontsize=14)\n",
    "        ax.set_ylabel(\"Percentage (%)\", fontsize=14)\n",
    "        ax.set_xticks(positions)\n",
    "        ax.set_xticklabels(genres, rotation=45, ha=\"right\")\n",
    "        ax.legend(title=\"Preference\")\n",
    "\n",
    "        # Add percentage labels on the bars\n",
    "        for genre_idx, genre in enumerate(genres):\n",
    "            bottom = 0\n",
    "            for answer in non_zero_answers:\n",
    "                value = result[genre][answer]\n",
    "                if value > 5:  # Only show label if segment is large enough\n",
    "                    ax.text(\n",
    "                        genre_idx,\n",
    "                        bottom + value / 2,\n",
    "                        f\"{value:.1f}%\",\n",
    "                        ha=\"center\",\n",
    "                        va=\"center\",\n",
    "                        fontweight=\"bold\",\n",
    "                    )\n",
    "                bottom += value\n",
    "\n",
    "        plt.tight_layout()\n",
    "        plt.show()\n",
    "\n",
    "\n",
    "# Run the function to create plots\n",
    "plot_answer_distribution_by_genre(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preference Consistency\n",
    "\n",
    "For each audio example, how often do raters prefer model A for some questions and B for others?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "186 consistent A/B preference ratings, 82.66666666666667%\n",
      "39 mixed A/B preference ratings, 17.333333333333332%\n"
     ]
    }
   ],
   "source": [
    "df_pref_only = df[df[\"answer\"].isin([\"A\", \"B\"])]\n",
    "# df_pref_only = df[df[\"question\"].isin([Q3, Q4])] # to only consider audio/musicality preference and not style/lyric adherence\n",
    "task_consistency = df_pref_only.groupby(\"row_id\")[\"answer\"].nunique()\n",
    "consistent_tasks = task_consistency[task_consistency == 1].index\n",
    "inconsistent_tasks = task_consistency[task_consistency == 2].index\n",
    "\n",
    "consistent_percentage = consistent_tasks.size * 100 / task_consistency.size\n",
    "inconsistent_percentage = inconsistent_tasks.size * 100 / task_consistency.size\n",
    "print(f\"{consistent_tasks.size} consistent A/B preference ratings, {consistent_percentage}%\")\n",
    "print(f\"{inconsistent_tasks.size} mixed A/B preference ratings, {inconsistent_percentage}%\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Genre Deep Dive\n",
    "\n",
    "Explores each source prompt within a genre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_answer_count_plot(df, genre, preference_only=False):\n",
    "    # Group by style\n",
    "    df_genre_only = df[df[\"genre\"] == genre.lower()]\n",
    "    df_genre_only = df_genre_only[df_genre_only[\"answer\"] != \"Skip\"]\n",
    "    if (\n",
    "        preference_only\n",
    "    ):  # only look at audio quality and musicality preferences, not style or lyric adherence\n",
    "        df_genre_only = df_genre_only[df[\"question\"].isin([Q3, Q4])]\n",
    "    df_genre_only[\"style_short\"] = df_genre_only[\"style\"].str[:25] + \"...\"\n",
    "    grouped_df = df_genre_only.groupby([\"style_short\", \"answer\"]).size().unstack(fill_value=0)\n",
    "\n",
    "    # Set the figure size based on number of unique prompts\n",
    "    num_pairs = len(df_genre_only[\"style_short\"].unique())\n",
    "    plt.figure(figsize=(max(10, num_pairs * 0.8), 8))\n",
    "\n",
    "    # Get unique answers and create positions for grouped bars\n",
    "    answers = grouped_df.columns\n",
    "    x = np.arange(len(grouped_df.index))\n",
    "    width = 0.8 / len(answers)  # Width of the bars\n",
    "\n",
    "    # Plot bars for each answer\n",
    "    for i, answer in enumerate(answers):\n",
    "        offset = (i - len(answers) / 2 + 0.5) * width\n",
    "        plt.bar(x + offset, grouped_df[answer], width, label=answer)\n",
    "\n",
    "    # Improve readability\n",
    "    plt.xticks(x, grouped_df.index, rotation=45, ha=\"right\")\n",
    "    plt.xlabel(\"Style Prompt\")\n",
    "    plt.ylabel(\"# of Votes\")\n",
    "    plt.title(f\"Preferences by Style Prompt: {genre}\")\n",
    "    plt.tight_layout()\n",
    "    plt.legend(title=\"Preference\")\n",
    "\n",
    "    return plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_3681254/598177460.py:6: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  df_genre_only = df_genre_only[df[\"question\"].isin([Q3, Q4])]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "DEEP_DIVE_GENRE = \"ambient\"  # set this\n",
    "plt = create_answer_count_plot(df, DEEP_DIVE_GENRE, preference_only=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "suno_clean",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}