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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Generating gpt_4o_vs_Qwen_VL_72B_Instruct split: 100%|ββββββββββ| 218/218 [00:00<00:00, 288.42 examples/s]\n"
]
}
],
"source": [
"from datasets import load_dataset\n",
"\n",
"dataset = load_dataset(\"lmms-lab/LiveBenchDetailedResultsComparison\", \"2024-09\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"DatasetDict({\n",
" gpt_4o_vs_Qwen_VL_72B_Instruct: Dataset({\n",
" features: ['id', 'images', 'question', 'ground_truth', 'criteria', 'subtask', 'website', 'score_1', 'score_2', 'reason_1', 'reason_2', 'response_1', 'response_2', 'delta'],\n",
" num_rows: 218\n",
" })\n",
"})"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dataset"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"df = dataset[\"gpt_4o_vs_Qwen_VL_72B_Instruct\"].to_pandas()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"item = df[df[\"id\"] == 287].to_dict()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Based on the final position of the chess game depicted in the image (after 29.Rxg6#), write a Python program to create a 2D list representing this final position, where empty squares are represented by '0' and pieces are represented by their standard notation (e.g., 'K' for king, 'Q' for queen, etc.). Then, implement a function to print this board representation to the console. Ensure the board is printed with '.' for empty squares.\n"
]
}
],
"source": [
"print(item[\"question\"][8])"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Here's a Python program that represents the final position:\n",
"\n",
"```python\n",
"def create_chess_board():\n",
" board = [\n",
" ['r', '0', '0', '0', '0', '0', 'k', 'r'],\n",
" ['p', '0', '0', 'P', '0', '0', '0', 'b'],\n",
" ['0', '0', 'p', '0', '0', '0', 'p', '0'],\n",
" ['0', '0', '0', '0', 'Q', 'P', '0', '0'],\n",
" ['q', '0', '0', '0', '0', '0', '0', '0'],\n",
" ['0', '0', '0', '0', '0', '0', '0', '0'],\n",
" ['P', 'P', 'P', '0', '0', '0', 'P', 'P'],\n",
" ['0', '0', '0', 'R', '0', 'R', 'K', '0']\n",
" ]\n",
" return board\n",
"\n",
"\n",
"def print_board(board):\n",
" for row in board:\n",
" print(' '.join(piece if piece != '0' else '.' for piece in row))\n",
"\n",
"\n",
"chess_board = create_chess_board()\n",
"print_board(chess_board)\n",
"```\n",
"\n",
"This program creates a 2D list representing the final chess position and prints it to the console, using '.' for empty squares.\n"
]
}
],
"source": [
"print(item[\"ground_truth\"][8])"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"r . . . . . k r\n",
"p . . P . . . b\n",
". . p . . . p .\n",
". . . . Q P . .\n",
"q . . . . . . .\n",
". . . . . . . .\n",
"P P P . . . P P\n",
". . . R . R K .\n"
]
}
],
"source": [
"def create_chess_board():\n",
" board = [\n",
" [\"r\", \"0\", \"0\", \"0\", \"0\", \"0\", \"k\", \"r\"],\n",
" [\"p\", \"0\", \"0\", \"P\", \"0\", \"0\", \"0\", \"b\"],\n",
" [\"0\", \"0\", \"p\", \"0\", \"0\", \"0\", \"p\", \"0\"],\n",
" [\"0\", \"0\", \"0\", \"0\", \"Q\", \"P\", \"0\", \"0\"],\n",
" [\"q\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\"],\n",
" [\"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\"],\n",
" [\"P\", \"P\", \"P\", \"0\", \"0\", \"0\", \"P\", \"P\"],\n",
" [\"0\", \"0\", \"0\", \"R\", \"0\", \"R\", \"K\", \"0\"],\n",
" ]\n",
" return board\n",
"\n",
"\n",
"def print_board(board):\n",
" for row in board:\n",
" print(\" \".join(piece if piece != \"0\" else \".\" for piece in row))\n",
"\n",
"\n",
"chess_board = create_chess_board()\n",
"print_board(chess_board)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "live_bench",
"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": "3.12.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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