{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# latex style labels\n",
    "plt.rcParams.update({\"text.usetex\": True,\"font.family\": \"STIXGeneral\"})#,\"font.sans-serif\": \"Helvetica\",})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Histogram: Proportion of prompts per category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prompts_df = pd.read_csv('prompts.csv')\n",
    "class_column = 'Domain'  # Change this to match your CSV file\n",
    "\n",
    "# Count the number of prompts per class\n",
    "class_counts = prompts_df[class_column].value_counts()\n",
    "\n",
    "# Plot the histogram (bar chart)\n",
    "plt.figure(figsize=(10, 6))\n",
    "class_counts.plot(kind='bar', color='skyblue', edgecolor='black')\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel('Class')\n",
    "plt.ylabel('Number of Prompts')\n",
    "plt.title('Histogram of Number of Prompts per Class')\n",
    "\n",
    "# Rotate x-axis labels for better readability if needed\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Renaming the classes (for better understanding)\n",
    "class_rename = {'named_entities': 'Name entities', \n",
    "                'common_phrases': 'Common phrases',\n",
    "                'humor': 'Humor',\n",
    "                'long_sent': 'Long sentences',\n",
    "                'mixed_lang': 'Mixed language',\n",
    "                'num_date': 'Dates',\n",
    "                'single_words': 'Single word',\n",
    "                'incorrect_spellings': 'Incorrect spelling' }"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Separating single class VS double class prompts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of prompts plotted: 376\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fontsize = 14\n",
    "\n",
    "# Replace 'class_column' with the actual column name\n",
    "class_column = 'Domain'  # Change this to the correct column name\n",
    "\n",
    "# Split classes by comma\n",
    "all_classes = prompts_df[class_column].dropna().str.split(', ').explode()\n",
    "class_counts = all_classes.value_counts()\n",
    "class_counts.index = [class_rename.get(c, c).capitalize() for c in class_counts.index]\n",
    "\n",
    "total = class_counts.sum()\n",
    "print(\"Total number of prompts plotted:\", total)\n",
    "\n",
    "# Plot histogram for individual class occurrences\n",
    "plt.figure(figsize=(12, 6))\n",
    "class_counts.plot(kind='bar', color='skyblue', edgecolor='black')\n",
    "plt.xlabel('Class', fontsize=fontsize) \n",
    "plt.ylabel(f'Number of Prompts (total = {total})', fontsize=fontsize)\n",
    "plt.title('Histogram of Prompts Per Class', fontsize=fontsize)\n",
    "plt.xticks(rotation=45, ha='right', fontsize=fontsize)\n",
    "plt.yticks(fontsize=fontsize)\n",
    "plt.savefig('figures/prompts_histogram.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "two_class_prompts = prompts_df[prompts_df[class_column].dropna().str.count(', ') == 1]\n",
    "\n",
    "# Count occurrences of unique two-class combinations\n",
    "two_class_counts = two_class_prompts[class_column].value_counts()\n",
    "\n",
    "total_two_classes = two_class_counts.sum()\n",
    "# Plot histogram for two-class combinations\n",
    "plt.figure(figsize=(12, 6))\n",
    "two_class_counts.plot(kind='bar', color='lightcoral', edgecolor='black')\n",
    "plt.xlabel('Class Combination', fontsize=fontsize) \n",
    "plt.ylabel(f'Number of Prompts (total = {total_two_classes})', fontsize=fontsize)\n",
    "plt.title('Histogram of Prompts Belonging to Two Classes', fontsize=fontsize)\n",
    "plt.xticks(rotation=45, ha='right', fontsize=fontsize)\n",
    "plt.yticks(fontsize=fontsize)\n",
    "plt.savefig('figures/prompts_two_classes_histogram.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Leaderboard"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sqlite3\n",
    "\n",
    "# Connect to the database\n",
    "conn = sqlite3.connect('database.db')\n",
    "\n",
    "# Create a cursor object to interact with the database\n",
    "cursor = conn.cursor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tables: [('model',), ('vote',), ('sqlite_sequence',), ('votelog',)]\n"
     ]
    }
   ],
   "source": [
    "# List all tables\n",
    "cursor.execute(\"SELECT name FROM sqlite_master WHERE type='table';\")\n",
    "tables = cursor.fetchall()\n",
    "print(\"Tables:\", tables)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Info about tables:\n",
    "- **model**: has columns: name | upvote | downvote\n",
    "- **vote**: has columns: id | username | model | vote | prompt | response | timestamp\n",
    "- **sqlite_sequence**: has columns: name | seq\n",
    "- **votelog**: has columns: id | username | chosen | rejected | prompt | chosen_response | rejected_response | is_tie | timestamp\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Gemini-1.5-Pro', 26, 12)\n",
      "('Meta-Llama-3-8B-Instruct', 0, 10)\n",
      "('GPT-4o-Mini', 4, 4)\n",
      "('Llama-3.3-70B-Instruct', 1, 8)\n",
      "('Claude-3.5-Sonnet', 23, 17)\n"
     ]
    }
   ],
   "source": [
    "# Query a table\n",
    "cursor.execute(\"SELECT * FROM model;\")\n",
    "rows = cursor.fetchall()\n",
    "for i, row in enumerate(rows):\n",
    "    print(row)\n",
    "    if i == 4:\n",
    "        break\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 'cded00b2-ea10-4600-925c-4386a6f1d8a9', 'Gemini-1.5-Pro', 1, 'إينا نهار لي معروف عل المغاربة كاياكلو فيه كسكسو؟', 'الجمعة،  نهار الجمعة معروف بزاف بالكسكسو عند المغاربة.\\n', '2024-12-29 00:53:25')\n",
      "(2, 'cded00b2-ea10-4600-925c-4386a6f1d8a9', 'Meta-Llama-3-8B-Instruct', -1, 'إينا نهار لي معروف عل المغاربة كاياكلو فيه كسكسو؟', 'Hak! Ina nåra ya ʷan yagraw li ʷan wujud, masa ina gaw hakkin sqal bilaxox!Xi-ignore shwiya kiya kasemu kay affir,dhikras ya riwaq al maghribi kifa masa ina graw ya ʷan yagraw li yaddəl yu predeți yaxčan}=bessa ya ħaŧut                                                                            ', '2024-12-29 00:53:25')\n",
      "(3, '85775de2-7b1b-4a50-98cb-8aa882708e03', 'GPT-4o-Mini', 1, 'إينا نهار لي معروف عل المغاربة كاياكلو فيه كسكسو؟', 'النهار المعروف اللي كياكلو فيه المغاربة كسكسو هو يوم الجمعة. كل جمعة، العائلات كتجمع وكتوجد الكسكسو، وكيكون واحد العادة بزاف عند المغاربة.', '2024-12-29 01:21:47')\n",
      "(4, '85775de2-7b1b-4a50-98cb-8aa882708e03', 'Llama-3.3-70B-Instruct', -1, 'إينا نهار لي معروف عل المغاربة كاياكلو فيه كسكسو؟', 'الجمعة. نهار الجمعة هو نهار الكسكس عند المغاربة، حيث كايكون الكسكس формы ديال الطعام التقليدي لي كتتؤكل فداك النهار.', '2024-12-29 01:21:47')\n",
      "(5, 'da371257-8f53-40cc-b0df-f89541038dfb', 'Claude-3.5-Sonnet', -1, 'وافين أعشيري', 'احلا و سهلا بيك خويا! لباس عليك؟ أنا الحمد لله مزيان. شنو جديد عندك؟', '2024-12-29 01:22:05')\n"
     ]
    }
   ],
   "source": [
    "# Query a table\n",
    "cursor.execute(\"SELECT * FROM vote;\")\n",
    "rows = cursor.fetchall()\n",
    "for i, row in enumerate(rows):\n",
    "    print(row)\n",
    "    if i == 4:\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Computing elo score: same function as get_leaderboard\n",
    "def compute_elo_score(cursor):\n",
    "    sql = '''\n",
    "    SELECT name, \n",
    "           SUM(CASE WHEN vote = 1 THEN 1 ELSE 0 END) as upvote, \n",
    "           SUM(CASE WHEN vote = -1 THEN 1 ELSE 0 END) as downvote\n",
    "    FROM model\n",
    "    LEFT JOIN vote ON model.name = vote.model\n",
    "    GROUP BY name\n",
    "    '''\n",
    "    \n",
    "    print(\"Executing SQL query...\")\n",
    "    cursor.execute(sql)\n",
    "    data = cursor.fetchall()\n",
    "    df = pd.DataFrame(data, columns=['name', 'upvote', 'downvote'])\n",
    "    df['votes'] = df['upvote'] + df['downvote']\n",
    "\n",
    "    df['score'] = 1200  # Base ELO\n",
    "    \n",
    "    for i in range(len(df)):\n",
    "        for j in range(len(df)):\n",
    "            if i != j:\n",
    "                expected_a = 1 / (1 + 10 ** ((df['score'].iloc[j] - df['score'].iloc[i]) / 400))\n",
    "                expected_b = 1 / (1 + 10 ** ((df['score'].iloc[i] - df['score'].iloc[j]) / 400))\n",
    "                actual_a = df['upvote'].iloc[i] / df['votes'].iloc[i] if df['votes'].iloc[i] > 0 else 0.5\n",
    "                actual_b = df['upvote'].iloc[j] / df['votes'].iloc[j] if df['votes'].iloc[j] > 0 else 0.5\n",
    "                df.iloc[i, df.columns.get_loc('score')] += 32 * (actual_a - expected_a)\n",
    "                df.iloc[j, df.columns.get_loc('score')] += 32 * (actual_b - expected_b)\n",
    "\n",
    "    df['score'] = round(df['score'])\n",
    "    df = df.sort_values(by='score', ascending=False)\n",
    "    df['order'] = ['#' + str(i+1) for i in range(len(df))]\n",
    "    \n",
    "    print(f\"Returning final leaderboard data with {len(df)} models...\")\n",
    "    # Return only the columns we want to display\n",
    "    return df[['order', 'name', 'score', 'votes']].values.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing SQL query...\n",
      "Returning final leaderboard data with 14 models...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/md/73tlwn611t99m1h0qypsxykc0000gn/T/ipykernel_56240/178643481.py:27: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '1206.8' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.\n",
      "  df.iloc[i, df.columns.get_loc('score')] += 32 * (actual_a - expected_a)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[['#1', 'ChatGPT-4o-Latest', 1274.0, 160],\n",
       " ['#2', 'GPT-4o', 1227.0, 14],\n",
       " ['#3', 'Claude-3.5-Sonnet', 1221.0, 156],\n",
       " ['#4', 'Gemini-1.5-Pro', 1178.0, 156],\n",
       " ['#5', 'GPT-4o-Mini', 1151.0, 8],\n",
       " ['#6', 'DeepSeek-V3', 1107.0, 81],\n",
       " ['#7', 'Llama-3.1-405B', 1032.0, 147],\n",
       " ['#8', 'Llama-3.1-Nemotron', 997.0, 47],\n",
       " ['#9', 'Grok-beta', 974.0, 155],\n",
       " ['#10', 'Llama-3.3-70B-Instruct', 932.0, 9],\n",
       " ['#11', 'Qwen2.5-72B-Instruct', 908.0, 9],\n",
       " ['#12', 'Meta-Llama-3-8B-Instruct', 871.0, 10],\n",
       " ['#13', 'QwQ-32B-Preview', 863.0, 10],\n",
       " ['#14', 'c4ai-command-r-plus-08-2024', 848.0, 8]]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "leaderboard = compute_elo_score(cursor)\n",
    "leaderboard"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Histogram\n",
    "model_names = [item[1] for item in leaderboard]\n",
    "scores = [item[2] for item in leaderboard]\n",
    "\n",
    "# Plot histogram (bar chart)\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.bar(model_names, scores, color='skyblue')\n",
    "plt.xlabel('Model name', fontsize=fontsize) \n",
    "plt.ylabel(f'Elo score', fontsize=fontsize)\n",
    "plt.title('Ranking of models', fontsize=fontsize)\n",
    "plt.xticks(rotation=45, ha='right', fontsize=fontsize)\n",
    "plt.yticks(fontsize=fontsize)\n",
    "plt.savefig('figures/ranking.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Win matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import defaultdict\n",
    "\n",
    "def predict_win_rate(leaderboard, SCALE=400, BASE=10, INIT_RATING=1000):\n",
    "    names = [item[1] for item in leaderboard]\n",
    "    wins = defaultdict(lambda: defaultdict(lambda: 0))\n",
    "    scores = [item[2] for item in leaderboard]\n",
    "\n",
    "    for i,a in enumerate(names):\n",
    "        for j, b in enumerate(names):\n",
    "            #ea = 1 / (1 + BASE ** ((elo_ratings[b] - elo_ratings[a]) / SCALE))\n",
    "            ea = 1 / (1 + BASE ** ((scores[j] - scores[i]) / SCALE))\n",
    "            wins[a][b] = ea\n",
    "            wins[b][a] = 1 - ea\n",
    "\n",
    "    data = {\n",
    "        a: [wins[a][b] if a != b else 1 for b in names]\n",
    "        for a in names\n",
    "    }\n",
    "\n",
    "    df = pd.DataFrame(data, index=names)\n",
    "    df.index.name = \"model_a\"\n",
    "    df.columns.name = \"model_b\"\n",
    "    return df.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.express as px\n",
    "\n",
    "win_rate = predict_win_rate(leaderboard)\n",
    "ordered_models = win_rate.mean(axis=1).sort_values(ascending=False).index\n",
    "fig = px.imshow(win_rate.loc[ordered_models, ordered_models],\n",
    "                color_continuous_scale='RdBu', text_auto=\".2f\",\n",
    "                title=\"Predicted Win Rate Using Elo Ratings for Model A in an A vs. B Battle\")\n",
    "fig.update_layout(xaxis_title=\"Model B\",\n",
    "                  yaxis_title=\"Model A\",\n",
    "                  xaxis_side=\"top\", height=600, width=600,\n",
    "                  title_y=0.07, title_x=0.5)\n",
    "fig.update_traces(hovertemplate=\n",
    "                  \"Model A: %{y}<br>Model B: %{x}<br>Win Rate: %{z}<extra></extra>\")\n",
    "\n",
    "fig.write_image(\"figures/win_rate_matrix.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Percentage of won battles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 'cded00b2-ea10-4600-925c-4386a6f1d8a9', 'Gemini-1.5-Pro', 1, 'إينا نهار لي معروف عل المغاربة كاياكلو فيه كسكسو؟', 'الجمعة،  نهار الجمعة معروف بزاف بالكسكسو عند المغاربة.\\n', '2024-12-29 00:53:25')\n",
      "(2, 'cded00b2-ea10-4600-925c-4386a6f1d8a9', 'Meta-Llama-3-8B-Instruct', -1, 'إينا نهار لي معروف عل المغاربة كاياكلو فيه كسكسو؟', 'Hak! Ina nåra ya ʷan yagraw li ʷan wujud, masa ina gaw hakkin sqal bilaxox!Xi-ignore shwiya kiya kasemu kay affir,dhikras ya riwaq al maghribi kifa masa ina graw ya ʷan yagraw li yaddəl yu predeți yaxčan}=bessa ya ħaŧut                                                                            ', '2024-12-29 00:53:25')\n",
      "(3, '85775de2-7b1b-4a50-98cb-8aa882708e03', 'GPT-4o-Mini', 1, 'إينا نهار لي معروف عل المغاربة كاياكلو فيه كسكسو؟', 'النهار المعروف اللي كياكلو فيه المغاربة كسكسو هو يوم الجمعة. كل جمعة، العائلات كتجمع وكتوجد الكسكسو، وكيكون واحد العادة بزاف عند المغاربة.', '2024-12-29 01:21:47')\n",
      "(4, '85775de2-7b1b-4a50-98cb-8aa882708e03', 'Llama-3.3-70B-Instruct', -1, 'إينا نهار لي معروف عل المغاربة كاياكلو فيه كسكسو؟', 'الجمعة. نهار الجمعة هو نهار الكسكس عند المغاربة، حيث كايكون الكسكس формы ديال الطعام التقليدي لي كتتؤكل فداك النهار.', '2024-12-29 01:21:47')\n",
      "(5, 'da371257-8f53-40cc-b0df-f89541038dfb', 'Claude-3.5-Sonnet', -1, 'وافين أعشيري', 'احلا و سهلا بيك خويا! لباس عليك؟ أنا الحمد لله مزيان. شنو جديد عندك؟', '2024-12-29 01:22:05')\n",
      "(6, 'da371257-8f53-40cc-b0df-f89541038dfb', 'c4ai-command-r-plus-08-2024', -1, 'وافين أعشيري', 'كيفة درتي اختيا، لاباس ؟ كنتمنى تكوني بخير! ممكن نعينك بشي حاجة حيت انا بوت صماط محترمة ؟', '2024-12-29 01:22:05')\n",
      "(7, '665fd55d-ab80-4694-b95b-e412d446200e', 'Claude-3.5-Sonnet', 1, 'زيد نلعبو شتي الديب، أنشرح ليك كيفاش تلعب معايا. إيلا قلت ليك \"شتي الديب\"، خاصك تجاوب \"شتو\"، وإيلا قلت ليك \"شتي كعلالتو\" ما خاصكش تجاوب \"شتها\"، إيلا جاوبتي \"شتها\" غاتكون خسرتي. باش تكمل اللعبة، ملي نقول ليك \"شتي كعلالتو\" جاوبني \"شتي الديب\" ونعاودو نبداو من جديد.  يالله نبداو: شتي الديب.', 'شتو', '2024-12-29 01:22:39')\n"
     ]
    }
   ],
   "source": [
    "# Query a table\n",
    "cursor.execute(\"SELECT * FROM vote;\")\n",
    "rows = cursor.fetchall()\n",
    "for i, row in enumerate(rows):\n",
    "    print(row)\n",
    "    if i == 6:\n",
    "        break\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### There is a problem in vote table! sometimes the prompt is switched with the response column!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can create a table containing the following coluns:\n",
    "id | model_1 | model_2 | score_1 | score_2 | prompt | class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load the `vote` and `votelog` tables into DataFrames\n",
    "vote_df = pd.read_sql_query(\"SELECT * FROM vote\", conn)\n",
    "votelog_df = pd.read_sql_query(\"SELECT * FROM votelog\", conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>username</th>\n",
       "      <th>model</th>\n",
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       "      <th>timestamp</th>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>إينا نهار لي معروف عل المغاربة كاياكلو فيه كسكسو؟</td>\n",
       "      <td>الجمعة،  نهار الجمعة معروف بزاف بالكسكسو عند ا...</td>\n",
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       "      <td>Hak! Ina nåra ya ʷan yagraw li ʷan wujud, masa...</td>\n",
       "      <td>2024-12-29 00:53:25</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
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       "      <td>GPT-4o-Mini</td>\n",
       "      <td>1</td>\n",
       "      <td>إينا نهار لي معروف عل المغاربة كاياكلو فيه كسكسو؟</td>\n",
       "      <td>النهار المعروف اللي كياكلو فيه المغاربة كسكسو ...</td>\n",
       "      <td>2024-12-29 01:21:47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>85775de2-7b1b-4a50-98cb-8aa882708e03</td>\n",
       "      <td>Llama-3.3-70B-Instruct</td>\n",
       "      <td>-1</td>\n",
       "      <td>إينا نهار لي معروف عل المغاربة كاياكلو فيه كسكسو؟</td>\n",
       "      <td>الجمعة. نهار الجمعة هو نهار الكسكس عند المغارب...</td>\n",
       "      <td>2024-12-29 01:21:47</td>\n",
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       "      <td>احلا و سهلا بيك خويا! لباس عليك؟ أنا الحمد لله...</td>\n",
       "      <td>2024-12-29 01:22:05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>965</th>\n",
       "      <td>966</td>\n",
       "      <td>598d0059-5b16-47c5-b8fc-6ae5b3c9649e</td>\n",
       "      <td>Grok-beta</td>\n",
       "      <td>-1</td>\n",
       "      <td>بغيت نصاوب الشباكية، عطيني المقادير؟</td>\n",
       "      <td>لا مشكل، هادي مقادير الشباكية المغربية:\\n\\n- *...</td>\n",
       "      <td>2025-02-06 09:21:26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>966</th>\n",
       "      <td>967</td>\n",
       "      <td>97aaf5d6-eaea-49b2-a90c-1d941407bcce</td>\n",
       "      <td>Gemini-1.5-Pro</td>\n",
       "      <td>1</td>\n",
       "      <td>آش كايسميو المغاربة الجو فاش كاتكون الشتا و ال...</td>\n",
       "      <td>كاين اللي كيقولو \"شمس الشتا\" و كاين اللي كيقول...</td>\n",
       "      <td>2025-02-06 09:21:59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>967</th>\n",
       "      <td>968</td>\n",
       "      <td>97aaf5d6-eaea-49b2-a90c-1d941407bcce</td>\n",
       "      <td>DeepSeek-V3</td>\n",
       "      <td>-1</td>\n",
       "      <td>آش كايسميو المغاربة الجو فاش كاتكون الشتا و ال...</td>\n",
       "      <td>المغاربة كايسمو هاد الجو \"الشمس مع الشتا\" ولا ...</td>\n",
       "      <td>2025-02-06 09:21:59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>968</th>\n",
       "      <td>969</td>\n",
       "      <td>8e9c68b1-e59e-42c0-a764-bd33e2710a67</td>\n",
       "      <td>DeepSeek-V3</td>\n",
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       "      <td>علاش المغرب وقع معاهدة الحماية مع فرنسا؟</td>\n",
       "      <td>المغرب وقع معاهدة الحماية مع فرنسا عام 1912، و...</td>\n",
       "      <td>2025-02-06 12:43:56</td>\n",
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       "    <tr>\n",
       "      <th>969</th>\n",
       "      <td>970</td>\n",
       "      <td>8e9c68b1-e59e-42c0-a764-bd33e2710a67</td>\n",
       "      <td>Llama-3.1-405B</td>\n",
       "      <td>-1</td>\n",
       "      <td>علاش المغرب وقع معاهدة الحماية مع فرنسا؟</td>\n",
       "      <td>المغرب وقع معاهدة الحماية مع فرنسا عام 1912، ب...</td>\n",
       "      <td>2025-02-06 12:43:56</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>970 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      id                              username                     model  \\\n",
       "0      1  cded00b2-ea10-4600-925c-4386a6f1d8a9            Gemini-1.5-Pro   \n",
       "1      2  cded00b2-ea10-4600-925c-4386a6f1d8a9  Meta-Llama-3-8B-Instruct   \n",
       "2      3  85775de2-7b1b-4a50-98cb-8aa882708e03               GPT-4o-Mini   \n",
       "3      4  85775de2-7b1b-4a50-98cb-8aa882708e03    Llama-3.3-70B-Instruct   \n",
       "4      5  da371257-8f53-40cc-b0df-f89541038dfb         Claude-3.5-Sonnet   \n",
       "..   ...                                   ...                       ...   \n",
       "965  966  598d0059-5b16-47c5-b8fc-6ae5b3c9649e                 Grok-beta   \n",
       "966  967  97aaf5d6-eaea-49b2-a90c-1d941407bcce            Gemini-1.5-Pro   \n",
       "967  968  97aaf5d6-eaea-49b2-a90c-1d941407bcce               DeepSeek-V3   \n",
       "968  969  8e9c68b1-e59e-42c0-a764-bd33e2710a67               DeepSeek-V3   \n",
       "969  970  8e9c68b1-e59e-42c0-a764-bd33e2710a67            Llama-3.1-405B   \n",
       "\n",
       "     vote                                             prompt  \\\n",
       "0       1  إينا نهار لي معروف عل المغاربة كاياكلو فيه كسكسو؟   \n",
       "1      -1  إينا نهار لي معروف عل المغاربة كاياكلو فيه كسكسو؟   \n",
       "2       1  إينا نهار لي معروف عل المغاربة كاياكلو فيه كسكسو؟   \n",
       "3      -1  إينا نهار لي معروف عل المغاربة كاياكلو فيه كسكسو؟   \n",
       "4      -1                                       وافين أعشيري   \n",
       "..    ...                                                ...   \n",
       "965    -1               بغيت نصاوب الشباكية، عطيني المقادير؟   \n",
       "966     1  آش كايسميو المغاربة الجو فاش كاتكون الشتا و ال...   \n",
       "967    -1  آش كايسميو المغاربة الجو فاش كاتكون الشتا و ال...   \n",
       "968     1           علاش المغرب وقع معاهدة الحماية مع فرنسا؟   \n",
       "969    -1           علاش المغرب وقع معاهدة الحماية مع فرنسا؟   \n",
       "\n",
       "                                              response            timestamp  \n",
       "0    الجمعة،  نهار الجمعة معروف بزاف بالكسكسو عند ا...  2024-12-29 00:53:25  \n",
       "1    Hak! Ina nåra ya ʷan yagraw li ʷan wujud, masa...  2024-12-29 00:53:25  \n",
       "2    النهار المعروف اللي كياكلو فيه المغاربة كسكسو ...  2024-12-29 01:21:47  \n",
       "3    الجمعة. نهار الجمعة هو نهار الكسكس عند المغارب...  2024-12-29 01:21:47  \n",
       "4    احلا و سهلا بيك خويا! لباس عليك؟ أنا الحمد لله...  2024-12-29 01:22:05  \n",
       "..                                                 ...                  ...  \n",
       "965  لا مشكل، هادي مقادير الشباكية المغربية:\\n\\n- *...  2025-02-06 09:21:26  \n",
       "966  كاين اللي كيقولو \"شمس الشتا\" و كاين اللي كيقول...  2025-02-06 09:21:59  \n",
       "967  المغاربة كايسمو هاد الجو \"الشمس مع الشتا\" ولا ...  2025-02-06 09:21:59  \n",
       "968  المغرب وقع معاهدة الحماية مع فرنسا عام 1912، و...  2025-02-06 12:43:56  \n",
       "969  المغرب وقع معاهدة الحماية مع فرنسا عام 1912، ب...  2025-02-06 12:43:56  \n",
       "\n",
       "[970 rows x 7 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vote_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "prompts_df = pd.read_csv('prompts.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>0</th>\n",
       "      <td>cded00b2-ea10-4600-925c-4386a6f1d8a9</td>\n",
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       "      <td>-1</td>\n",
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       "      <td>humor</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>2e537499-84bc-4c2c-a633-8ca365021ee5</td>\n",
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       "      <td>Grok-beta</td>\n",
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       "      <td>-1</td>\n",
       "      <td>شكون هو El Grande Toto?</td>\n",
       "      <td>General knowledge, mixed_lang</td>\n",
       "      <td>2.0</td>\n",
       "      <td>aymane elfirdoussi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>13044ff7-dc7d-4036-bd23-77e3125b8615</td>\n",
       "      <td>ChatGPT-4o-Latest</td>\n",
       "      <td>DeepSeek-V3</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>شنهيا التقلية؟</td>\n",
       "      <td>Gastronomy</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Imane Momayiz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>598d0059-5b16-47c5-b8fc-6ae5b3c9649e</td>\n",
       "      <td>ChatGPT-4o-Latest</td>\n",
       "      <td>Grok-beta</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>بغيت نصاوب الشباكية، عطيني المقادير؟</td>\n",
       "      <td>named_entities, Gastronomy</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Ihssane Nedjaoui</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>486</th>\n",
       "      <td>97aaf5d6-eaea-49b2-a90c-1d941407bcce</td>\n",
       "      <td>Gemini-1.5-Pro</td>\n",
       "      <td>DeepSeek-V3</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>آش كايسميو المغاربة الجو فاش كاتكون الشتا و ال...</td>\n",
       "      <td>idioms</td>\n",
       "      <td>2.0</td>\n",
       "      <td>aymane elfirdoussi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>8e9c68b1-e59e-42c0-a764-bd33e2710a67</td>\n",
       "      <td>DeepSeek-V3</td>\n",
       "      <td>Llama-3.1-405B</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>علاش المغرب وقع معاهدة الحماية مع فرنسا؟</td>\n",
       "      <td>General knowledge</td>\n",
       "      <td>2.0</td>\n",
       "      <td>aymane elfirdoussi</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>488 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 username            model_1  \\\n",
       "0    cded00b2-ea10-4600-925c-4386a6f1d8a9     Gemini-1.5-Pro   \n",
       "1    85775de2-7b1b-4a50-98cb-8aa882708e03        GPT-4o-Mini   \n",
       "2    da371257-8f53-40cc-b0df-f89541038dfb  Claude-3.5-Sonnet   \n",
       "3    665fd55d-ab80-4694-b95b-e412d446200e  Claude-3.5-Sonnet   \n",
       "4    ae0e8204-bee8-48be-8704-eec4729071b7     Llama-3.1-405B   \n",
       "..                                    ...                ...   \n",
       "483  2e537499-84bc-4c2c-a633-8ca365021ee5     Gemini-1.5-Pro   \n",
       "484  13044ff7-dc7d-4036-bd23-77e3125b8615  ChatGPT-4o-Latest   \n",
       "485  598d0059-5b16-47c5-b8fc-6ae5b3c9649e  ChatGPT-4o-Latest   \n",
       "486  97aaf5d6-eaea-49b2-a90c-1d941407bcce     Gemini-1.5-Pro   \n",
       "487  8e9c68b1-e59e-42c0-a764-bd33e2710a67        DeepSeek-V3   \n",
       "\n",
       "                         model_2  score_1  score_2  \\\n",
       "0       Meta-Llama-3-8B-Instruct        1       -1   \n",
       "1         Llama-3.3-70B-Instruct        1       -1   \n",
       "2    c4ai-command-r-plus-08-2024       -1       -1   \n",
       "3         Llama-3.3-70B-Instruct        1       -1   \n",
       "4       Meta-Llama-3-8B-Instruct       -1       -1   \n",
       "..                           ...      ...      ...   \n",
       "483                    Grok-beta        1       -1   \n",
       "484                  DeepSeek-V3        1       -1   \n",
       "485                    Grok-beta        1       -1   \n",
       "486                  DeepSeek-V3        1       -1   \n",
       "487               Llama-3.1-405B        1       -1   \n",
       "\n",
       "                                                prompt  \\\n",
       "0    إينا نهار لي معروف عل المغاربة كاياكلو فيه كسكسو؟   \n",
       "1    إينا نهار لي معروف عل المغاربة كاياكلو فيه كسكسو؟   \n",
       "2                                         وافين أعشيري   \n",
       "3    زيد نلعبو شتي الديب، أنشرح ليك كيفاش تلعب معاي...   \n",
       "4                                  عطيني شي نكتة كاضحك   \n",
       "..                                                 ...   \n",
       "483                            شكون هو El Grande Toto?   \n",
       "484                                     شنهيا التقلية؟   \n",
       "485               بغيت نصاوب الشباكية، عطيني المقادير؟   \n",
       "486  آش كايسميو المغاربة الجو فاش كاتكون الشتا و ال...   \n",
       "487           علاش المغرب وقع معاهدة الحماية مع فرنسا؟   \n",
       "\n",
       "                             class  batch              person  \n",
       "0                         num_date    1.0                 NaN  \n",
       "1                         num_date    1.0                 NaN  \n",
       "2                   common_phrases    1.0                 NaN  \n",
       "3                            humor    1.0                 NaN  \n",
       "4                            humor    1.0                 NaN  \n",
       "..                             ...    ...                 ...  \n",
       "483  General knowledge, mixed_lang    2.0  aymane elfirdoussi  \n",
       "484                     Gastronomy    2.0       Imane Momayiz  \n",
       "485     named_entities, Gastronomy    2.0    Ihssane Nedjaoui  \n",
       "486                         idioms    2.0  aymane elfirdoussi  \n",
       "487              General knowledge    2.0  aymane elfirdoussi  \n",
       "\n",
       "[488 rows x 9 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Example: Assuming Vote is already loaded as a DataFrame\n",
    "# The structure of Vote as described: id, username, model, vote, prompt, response, timestamp\n",
    "\n",
    "# Select every two consecutive rows (pairing them as battles)\n",
    "battles = vote_df.iloc[::2].reset_index(drop=True)  # Rows for model_1\n",
    "battles[\"model_2\"] = vote_df.iloc[1::2][\"model\"].reset_index(drop=True)  # Add model_2\n",
    "battles[\"score_2\"] = vote_df.iloc[1::2][\"vote\"].reset_index(drop=True)  # Add score_2\n",
    "battles[\"score_1\"] = battles[\"vote\"]  # score_1 is the vote of model_1\n",
    "battles = battles.drop(columns=[\"vote\"])  # Drop the redundant 'vote' column\n",
    "\n",
    "# Rename and organize columns\n",
    "battles = battles.rename(columns={\"model\": \"model_1\"})\n",
    "battles = battles[[\"username\", \"model_1\", \"model_2\", \"score_1\", \"score_2\", \"prompt\"]]\n",
    "\n",
    "# Merge with Prompts DataFrame to add the 'class' column\n",
    "# Assuming Prompts has columns ['prompt', 'Domain'] and needs to map 'Domain' to 'class'\n",
    "battles = battles.merge(prompts_df.rename(columns={\"Domain\": \"class\", \"Prompt\": \"prompt\"}), on=\"prompt\", how=\"left\")\n",
    "\n",
    "# Display the final DataFrame\n",
    "battles\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# battles = battles.drop('Unnamed: 3', axis = 1)\n",
    "# battles.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "battles.to_csv('battles.csv', index= False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gemini-1.5-Pro\n",
      "GPT-4o-Mini\n",
      "Claude-3.5-Sonnet\n",
      "Llama-3.1-405B\n",
      "Llama-3.3-70B-Instruct\n",
      "Llama-3.1-Nemotron\n",
      "GPT-4o\n",
      "ChatGPT-4o-Latest\n",
      "Grok-beta\n",
      "QwQ-32B-Preview\n",
      "c4ai-command-r-plus-08-2024\n",
      "Qwen2.5-72B-Instruct\n",
      "claude_3_5_sonnet_20240620\n"
     ]
    }
   ],
   "source": [
    "import sqlite3\n",
    "\n",
    "# Connect to the database\n",
    "conn = sqlite3.connect(\"database.db\")\n",
    "cursor = conn.cursor()\n",
    "\n",
    "# Query to get unique names in a column\n",
    "column_name = \"chosen\"  # Replace with your column name\n",
    "table_name = \"votelog\"  # Replace with your table name\n",
    "query = f\"SELECT DISTINCT {column_name} FROM {table_name}\"\n",
    "\n",
    "cursor.execute(query)\n",
    "unique_names = cursor.fetchall()\n",
    "\n",
    "# Print the results\n",
    "for name in unique_names:\n",
    "    print(name[0])\n",
    "\n",
    "# Close the connection\n",
    "#conn.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def rename_model(conn, cursor, table, column, old_name='claude_3_5_sonnet_20240620', new_name='Claude-3.5-Sonnet'):\n",
    "    # Check if the model with the old name exists\n",
    "    cursor.execute(f\"SELECT COUNT(*) FROM {table} WHERE {column} = ?\", (old_name,))\n",
    "    count = cursor.fetchone()[0]\n",
    "\n",
    "    if count > 0:\n",
    "        # Update the model name\n",
    "        cursor.execute(f\"UPDATE {table} SET {column} = ? WHERE {column} = ?\", (new_name, old_name))\n",
    "        print(f\"Renamed {count} row(s) from '{old_name}' to '{new_name}'\")\n",
    "    else:\n",
    "        print(f\"Model '{old_name}' not found, no renaming performed.\")\n",
    "\n",
    "    # Commit the changes and close the connection\n",
    "    conn.commit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Renamed 2 row(s) from 'claude_3_5_sonnet_20240620' to 'Claude-3.5-Sonnet'\n",
      "Meta-Llama-3-8B-Instruct\n",
      "Llama-3.3-70B-Instruct\n",
      "c4ai-command-r-plus-08-2024\n",
      "Llama-3.1-405B\n",
      "QwQ-32B-Preview\n",
      "GPT-4o-Mini\n",
      "Qwen2.5-72B-Instruct\n",
      "Claude-3.5-Sonnet\n",
      "Llama-3.1-Nemotron\n",
      "Grok-beta\n",
      "ChatGPT-4o-Latest\n",
      "GPT-4o\n",
      "Gemini-1.5-Pro\n"
     ]
    }
   ],
   "source": [
    "# Query to get unique names in a column\n",
    "column = \"rejected\"  # Replace with your column name\n",
    "table = \"votelog\"  # Replace with your table name\n",
    "rename_model(conn, cursor, table, column)\n",
    "\n",
    "query = f\"SELECT DISTINCT {column} FROM {table}\"\n",
    "\n",
    "cursor.execute(query)\n",
    "unique_names = cursor.fetchall()\n",
    "\n",
    "# Print the results\n",
    "for name in unique_names:\n",
    "    print(name[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CSV file converted to JSON and saved as prompts.json\n"
     ]
    }
   ],
   "source": [
    "import csv\n",
    "import json\n",
    "\n",
    "csv_file = 'prompts.csv'  # Replace with your CSV file name\n",
    "json_file = 'prompts.json'  # Replace with the desired output file name\n",
    "\n",
    "# Open CSV and JSON files\n",
    "with open(csv_file, 'r') as csvfile, open(json_file, 'w') as jsonfile:\n",
    "    # Read CSV data\n",
    "    reader = csv.DictReader(csvfile)\n",
    "    \n",
    "    # Convert rows to JSON and save\n",
    "    json.dump(list(reader), jsonfile, indent=4)\n",
    "\n",
    "print(f\"CSV file converted to JSON and saved as {json_file}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'Prompt': 'منلقاش عندك شي زرقة', 'Domain': 'humor', 'batch': '1', 'person': ''}, {'Prompt': 'وافين أعشيري', 'Domain': 'common_phrases', 'batch': '1', 'person': ''}]\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "\n",
    "# Path to your JSON file\n",
    "json_file = 'prompts.json'\n",
    "\n",
    "# Open and read the file\n",
    "with open(json_file, 'r') as file:\n",
    "    data = json.load(file)  # Load JSON data as a Python dictionary or list\n",
    "\n",
    "# Print or access the data\n",
    "print(data[:2])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Gemini-1.5-Pro': 38, 'Meta-Llama-3-8B-Instruct': 10, 'GPT-4o-Mini': 8, 'Llama-3.3-70B-Instruct': 9, 'Claude-3.5-Sonnet': 40, 'c4ai-command-r-plus-08-2024': 8, 'Llama-3.1-405B': 24, 'QwQ-32B-Preview': 10, 'Llama-3.1-Nemotron': 19, 'Qwen2.5-72B-Instruct': 9, 'Grok-beta': 41, 'GPT-4o': 14, 'ChatGPT-4o-Latest': 31}\n"
     ]
    }
   ],
   "source": [
    "import sqlite3\n",
    "\n",
    "# Connect to the SQLite database\n",
    "conn = sqlite3.connect('database.db')  # Replace 'your_database.db' with your actual database file\n",
    "cursor = conn.cursor()\n",
    "\n",
    "# Query to fetch name, upvote, and downvote\n",
    "query = \"SELECT name, upvote, downvote FROM model\"\n",
    "cursor.execute(query)\n",
    "\n",
    "# Create the dictionary\n",
    "result = {row[0]: row[1] + row[2] for row in cursor.fetchall()}\n",
    "\n",
    "# Close the connection\n",
    "conn.close()\n",
    "\n",
    "# Print the resulting dictionary\n",
    "print(result)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Gemini-1.5-Pro': 0.027820515657962102, 'Meta-Llama-3-8B-Instruct': 0.10571795171051238, 'GPT-4o-Mini': 0.1321474363344549, 'Llama-3.3-70B-Instruct': 0.11746438948429845, 'Claude-3.5-Sonnet': 0.026429489909839638, 'c4ai-command-r-plus-08-2024': 0.1321474363344549, 'Llama-3.1-405B': 0.044049149115580256, 'QwQ-32B-Preview': 0.10571795171051238, 'Llama-3.1-Nemotron': 0.055641029851686605, 'Qwen2.5-72B-Instruct': 0.11746438948429845, 'Grok-beta': 0.02578486822044408, 'GPT-4o': 0.07551282480787505, 'ChatGPT-4o-Latest': 0.0341025673780809}\n",
      "Sampled names: ['GPT-4o' 'GPT-4o-Mini']\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "# Step 1: Compute weights inversely proportional to votes\n",
    "epsilon = 1e-6  # Small value to avoid division by zero\n",
    "weights = {name: 1 / (result[name] + epsilon) for name in result}\n",
    "#weights = {name: np.exp(-result[name]) for name in result}\n",
    "# Step 2: Normalize weights to get probabilities\n",
    "total_weight = sum(weights.values())\n",
    "probabilities = {name: weight / total_weight for name, weight in weights.items()}\n",
    "\n",
    "print(probabilities)\n",
    "# Step 3: Sample two names using a multinomial distribution\n",
    "names = list(probabilities.keys())\n",
    "probs = list(probabilities.values())\n",
    "sampled_names = np.random.choice(names, size=2, replace=False, p=probs)\n",
    "\n",
    "print(\"Sampled names:\", sampled_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>prompt</th>\n",
       "      <th>response</th>\n",
       "      <th>model_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>آش كاتعني \"ولد مو\"؟</td>\n",
       "      <td>\"ولد مو\" فالدارجة المغربية كاتعني الولد ديال ا...</td>\n",
       "      <td>ChatGPT-4o-Latest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>آش كاتعني \"ولد مو\"؟</td>\n",
       "      <td>\"ولد مو\" كاتعني \"ولد الله\" أو \"عبد الله\". هاد ...</td>\n",
       "      <td>Grok-beta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>آش كاتعني \"ولد مو\"؟</td>\n",
       "      <td>\"ولد مو\" هي عبارة دارجة مغربية كتستعمل لوصف شي...</td>\n",
       "      <td>Llama-3.1-405B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>آش كاتعني \"ولد مو\"؟</td>\n",
       "      <td>كاتعني ولد الناس،  واحد محترم و عندو مبادئ.  ك...</td>\n",
       "      <td>Gemini-1.5-Pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>آش كاتعني \"ولد مو\"؟</td>\n",
       "      <td>\"ولد مو\" هي سبة مغربية كيستعملوها ناس بزاف للت...</td>\n",
       "      <td>Claude-3.5-Sonnet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1503</th>\n",
       "      <td>يالاه دخلت ل لاصال، عطيني شي بروغرام ناضي باش ...</td>\n",
       "      <td>واااااااااا الغولي، واخا خويا، غادي نعطيك واحد...</td>\n",
       "      <td>ChatGPT-4o-Latest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1504</th>\n",
       "      <td>يالاه دخلت ل لاصال، عطيني شي بروغرام ناضي باش ...</td>\n",
       "      <td>واش كتبغي بروغرام ناضي باش تولي كي الغول؟ خلين...</td>\n",
       "      <td>Grok-beta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1505</th>\n",
       "      <td>يالاه دخلت ل لاصال، عطيني شي بروغرام ناضي باش ...</td>\n",
       "      <td>ماشي مشكل، هادي بروغرام ناضي ليك:\\n\\n**السبت**...</td>\n",
       "      <td>Llama-3.1-405B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1506</th>\n",
       "      <td>يالاه دخلت ل لاصال، عطيني شي بروغرام ناضي باش ...</td>\n",
       "      <td>واخا صاحبي! دخلتي للاصال باغا تولي غول؟ هانتا ...</td>\n",
       "      <td>Gemini-1.5-Pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1507</th>\n",
       "      <td>يالاه دخلت ل لاصال، عطيني شي بروغرام ناضي باش ...</td>\n",
       "      <td>مرحبا بيك فلاصال! هادي برنامج مزيان باش تبدا:\\...</td>\n",
       "      <td>Claude-3.5-Sonnet</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1508 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 prompt  \\\n",
       "0                                   آش كاتعني \"ولد مو\"؟   \n",
       "1                                   آش كاتعني \"ولد مو\"؟   \n",
       "2                                   آش كاتعني \"ولد مو\"؟   \n",
       "3                                   آش كاتعني \"ولد مو\"؟   \n",
       "4                                   آش كاتعني \"ولد مو\"؟   \n",
       "...                                                 ...   \n",
       "1503  يالاه دخلت ل لاصال، عطيني شي بروغرام ناضي باش ...   \n",
       "1504  يالاه دخلت ل لاصال، عطيني شي بروغرام ناضي باش ...   \n",
       "1505  يالاه دخلت ل لاصال، عطيني شي بروغرام ناضي باش ...   \n",
       "1506  يالاه دخلت ل لاصال، عطيني شي بروغرام ناضي باش ...   \n",
       "1507  يالاه دخلت ل لاصال، عطيني شي بروغرام ناضي باش ...   \n",
       "\n",
       "                                               response         model_name  \n",
       "0     \"ولد مو\" فالدارجة المغربية كاتعني الولد ديال ا...  ChatGPT-4o-Latest  \n",
       "1     \"ولد مو\" كاتعني \"ولد الله\" أو \"عبد الله\". هاد ...          Grok-beta  \n",
       "2     \"ولد مو\" هي عبارة دارجة مغربية كتستعمل لوصف شي...     Llama-3.1-405B  \n",
       "3     كاتعني ولد الناس،  واحد محترم و عندو مبادئ.  ك...     Gemini-1.5-Pro  \n",
       "4     \"ولد مو\" هي سبة مغربية كيستعملوها ناس بزاف للت...  Claude-3.5-Sonnet  \n",
       "...                                                 ...                ...  \n",
       "1503  واااااااااا الغولي، واخا خويا، غادي نعطيك واحد...  ChatGPT-4o-Latest  \n",
       "1504  واش كتبغي بروغرام ناضي باش تولي كي الغول؟ خلين...          Grok-beta  \n",
       "1505  ماشي مشكل، هادي بروغرام ناضي ليك:\\n\\n**السبت**...     Llama-3.1-405B  \n",
       "1506  واخا صاحبي! دخلتي للاصال باغا تولي غول؟ هانتا ...     Gemini-1.5-Pro  \n",
       "1507  مرحبا بيك فلاصال! هادي برنامج مزيان باش تبدا:\\...  Claude-3.5-Sonnet  \n",
       "\n",
       "[1508 rows x 3 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd \n",
    "df = pd.read_csv('responses.csv')\n",
    "# Drop prompts that only appear once because we can't compare them\n",
    "prompt_counts = df['prompt'].value_counts()\n",
    "df = df[df['prompt'].isin(prompt_counts[prompt_counts > 1].index)]\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "196    ChatGPT-4o-Latest\n",
      "197            Grok-beta\n",
      "198       Llama-3.1-405B\n",
      "199       Gemini-1.5-Pro\n",
      "200    Claude-3.5-Sonnet\n",
      "Name: model_name, dtype: object\n",
      "['Claude-3.5-Sonnet' 'QwQ-32B-Preview']\n"
     ]
    }
   ],
   "source": [
    "\n",
    "prompt = df['prompt'][200]\n",
    "prompt_responses = df[df['prompt'] == prompt]\n",
    "print(prompt_responses['model_name'])\n",
    "sampled_names = np.random.choice(names, size=2, replace=False, p=probs)\n",
    "print(sampled_names)\n",
    "#selected_responses = prompt_responses[prompt_responses['model_name'].isin(sampled_names)]\n",
    "selected_responses = prompt_responses[prompt_responses['model_name'].isin(sampled_names)]\n",
    "#print(selected_responses)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## New win matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Load your dataset\n",
    "df = pd.read_csv('battles.csv')\n",
    "\n",
    "# Initialize an empty dictionary to store win/loss data\n",
    "win_counts = {}\n",
    "\n",
    "# Iterate through the dataset\n",
    "for _, row in df.iterrows():\n",
    "    model_1, model_2 = row['model_1'], row['model_2']\n",
    "    score_1, score_2 = row['score_1'], row['score_2']\n",
    "    \n",
    "    # Initialize win/loss records for models if not already present\n",
    "    if model_1 not in win_counts:\n",
    "        win_counts[model_1] = {}\n",
    "    if model_2 not in win_counts:\n",
    "        win_counts[model_2] = {}\n",
    "\n",
    "    # Record the outcome for model_1 vs model_2\n",
    "    if model_2 not in win_counts[model_1]:\n",
    "        win_counts[model_1][model_2] = [0, 0]  # [wins, games]\n",
    "    if model_1 not in win_counts[model_2]:\n",
    "        win_counts[model_2][model_1] = [0, 0]  # [wins, games]\n",
    "\n",
    "    # Update win/loss counts\n",
    "    if score_1 == 1 and score_2 == -1:  # model_1 wins\n",
    "        win_counts[model_1][model_2][0] += 1\n",
    "    elif score_1 == -1 and score_2 == 1:  # model_2 wins\n",
    "        win_counts[model_2][model_1][0] += 1\n",
    "    \n",
    "    # Increment games played for both directions\n",
    "    win_counts[model_1][model_2][1] += 1\n",
    "    win_counts[model_2][model_1][1] += 1\n",
    "\n",
    "# Create a sorted list of models\n",
    "models = sorted(win_counts.keys())\n",
    "\n",
    "# Initialize the win-rate matrix\n",
    "win_rate_matrix = pd.DataFrame(0, index=models, columns=models, dtype=float)\n",
    "\n",
    "# Populate the win-rate matrix\n",
    "for model_1 in models:\n",
    "    for model_2 in models:\n",
    "        if model_1 == model_2:\n",
    "            win_rate_matrix.loc[model_1, model_2] = 1.0\n",
    "        elif model_2 in win_counts[model_1]:\n",
    "            wins, games = win_counts[model_1][model_2]\n",
    "            win_rate_matrix.loc[model_1, model_2] = wins / games if games > 0 else 0\n",
    "\n",
    "# Plot the heatmap\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.heatmap(win_rate_matrix, annot=True, fmt=\".2f\", cmap=\"coolwarm\", cbar_kws={'label': 'Win Rate'})\n",
    "plt.title('Win matrix without counting ties')\n",
    "plt.xlabel('Model B')\n",
    "plt.ylabel('Model A')\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig('figures/win_rate_matrix_no_tie.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Define a list of specific models to include in the plot\n",
    "selected_models = ['ChatGPT-4o-Latest', 'Claude-3.5-Sonnet', 'Gemini-1.5-Pro', 'DeepSeek-V3', 'Llama-3.1-405B', 'Grok-beta']\n",
    "\n",
    "# Filter the win_rate_matrix to include only the selected models\n",
    "filtered_win_rate_matrix = win_rate_matrix.loc[selected_models, selected_models]\n",
    "\n",
    "# Plot the heatmap for the selected models\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(filtered_win_rate_matrix, annot=True, fmt=\".2f\", cmap=\"coolwarm\", cbar_kws={'label': 'Win Rate'})\n",
    "plt.title('Win Rate for Selected Models')\n",
    "plt.xlabel('Model B')\n",
    "plt.ylabel('Model A')\n",
    "plt.tight_layout()\n",
    "\n",
    "# Save the filtered figure\n",
    "plt.savefig('figures/filtered_win_rate.png', dpi=300, bbox_inches='tight')\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Win matrix by counting ties with a score: $\\pm$ 0.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Load your dataset (replace 'your_dataset.csv' with the actual filename)\n",
    "df = pd.read_csv('battles.csv')\n",
    "\n",
    "# Initialize an empty dictionary to store win/loss/tie data\n",
    "win_counts = {}\n",
    "tie_score = 0.5\n",
    "# Iterate through the dataset\n",
    "for _, row in df.iterrows():\n",
    "    model_1, model_2 = row['model_1'], row['model_2']\n",
    "    score_1, score_2 = row['score_1'], row['score_2']\n",
    "    \n",
    "    # Initialize win/loss records for models if not already present\n",
    "    if model_1 not in win_counts:\n",
    "        win_counts[model_1] = {}\n",
    "    if model_2 not in win_counts:\n",
    "        win_counts[model_2] = {}\n",
    "\n",
    "    # Record the outcome for model_1 vs model_2\n",
    "    if model_2 not in win_counts[model_1]:\n",
    "        win_counts[model_1][model_2] = [0, 0]  # [wins, games]\n",
    "    if model_1 not in win_counts[model_2]:\n",
    "        win_counts[model_2][model_1] = [0, 0]  # [wins, games]\n",
    "\n",
    "    # Update win/loss/tie counts\n",
    "    if score_1 == 1 and score_2 == -1:  # model_1 wins\n",
    "        win_counts[model_1][model_2][0] += 1\n",
    "    elif score_1 == -1 and score_2 == 1:  # model_2 wins\n",
    "        win_counts[model_2][model_1][0] += 1\n",
    "    elif score_1 == 1 and score_2 == 1:  # Both win (tie)\n",
    "        win_counts[model_1][model_2][0] += tie_score  # Increase by 0.5\n",
    "        win_counts[model_2][model_1][0] += tie_score  # Increase by 0.5\n",
    "    elif score_1 == -1 and score_2 == -1:  # Both lose (tie)\n",
    "        win_counts[model_1][model_2][0] -= tie_score  # Decrease by 0.5\n",
    "        win_counts[model_2][model_1][0] -= tie_score  # Decrease by 0.5\n",
    "\n",
    "    # Increment games played for both directions\n",
    "    win_counts[model_1][model_2][1] += 1\n",
    "    win_counts[model_2][model_1][1] += 1\n",
    "\n",
    "# Create a sorted list of models\n",
    "models = sorted(win_counts.keys())\n",
    "\n",
    "# Initialize the win-rate matrix\n",
    "win_rate_matrix = pd.DataFrame(0, index=models, columns=models, dtype=float)\n",
    "\n",
    "# Populate the win-rate matrix\n",
    "for model_1 in models:\n",
    "    for model_2 in models:\n",
    "        if model_1 == model_2:\n",
    "            win_rate_matrix.loc[model_1, model_2] = 1.0\n",
    "        elif model_2 in win_counts[model_1]:\n",
    "            wins, games = win_counts[model_1][model_2]\n",
    "            win_rate_matrix.loc[model_1, model_2] = wins / games if games > 0 else 0\n",
    "\n",
    "# Plot the heatmap\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.heatmap(win_rate_matrix, annot=True, fmt=\".2f\", cmap=\"coolwarm\", cbar_kws={'label': 'Win Rate'})\n",
    "plt.title('Predicted Win Rate with Ties Adjustment')\n",
    "plt.xlabel('Model B')\n",
    "plt.ylabel('Model A')\n",
    "plt.tight_layout()\n",
    "\n",
    "# Save the figure\n",
    "plt.savefig('win_rate_with_ties.png', dpi=300, bbox_inches='tight')\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  }
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