问题

Please create a valid join mapping between CSV Table A and CSV Table B. Each column in A maps to 0 or 1 columns in B. Return your response as a Python dictionary, formatted as {col_name_in_df_a : col_name_in_df_b}. Please return only the dictionary. \n CSV Table A: Areas,freq_1,freq_2,freq_3,freq_4,freq_5,freq_6\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\n52.69691934980033,1.0,0.3066003914775975,0.1245689303063943,0.1054524435622401,0.0417304339140407,0.0547108674678267\n7.185992410601374,1.0,0.2999206528073539,0.1222511487682431,0.0772947974051657,0.0487553884339519,0.0353324096055299\n32.7291864913512,1.0,0.213146090194573,0.1183964102800875,0.0704606572262718,0.0441183363159674,0.033178644798613\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\n6.446951236371171,1.0,0.4262288438201601,0.1916872539057724,0.1156817194523204,0.044848274171492,0.0222903737771126\n1.957639593458942,1.0,0.533393886177141,0.1893246349211403,0.0714277935184967,0.0284848249671974,0.0238569282251618\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\n71.00332161496897,1.0,0.2740220004756795,0.1278905256445208,0.0692331631443914,0.0482897713293649,0.0357922581591704\n0.0,0.0,0.0,0.0,0.0,0.0,0.0\n3.301667962759854,1.0,0.1091959612260343,0.0454704054003767,0.0344613292581027,0.025557057115189,0.0129898029281604\n16.754123508406163,0.2856924485187471,0.1709920569783453,0.1496525553644551,0.0982513539490028,0.1027482655787128,0.1590234249293817\n \n CSV Table B: 7dYptJU3eKE,7raemdfhCtY,oSIrzv9LNvo,NDJjzG/U34g,j5ilz2RtsY4\n24591000,No,15.6466,0.0,0.0\n8334800,No,15.6466,0.0,0.0\n9875400,No,15.6466,0.0,0.0\n8338300,No,15.6466,0.0,0.0\n8995500,No,15.6466,0.0,0.0\n8564500,Si,15.6466,0.1795146403862751,0.5059258063362236\n8948500,Si,15.6466,0.05852812458766,0.0248499329639729\n11859900,Si,15.6466,0.0,0.0\n16537400,No,15.6466,0.0571120579565183,0.030578336333865\n11010400,No,15.6466,0.1357617818231772,0.091585463814462\n7534000,Si,15.6466,0.1409075536548341,0.0658817937143762\n9818100,No,15.6466,0.0,0.0\n9965000,Si,15.6466,0.0,0.0\n20254600,Si,15.6466,0.3648607143842685,0.148324977324336\n9989300,No,15.6466,0.0,0.0\n \n Output: \n

答案

模型 模型答案 正确答案
金声玉亮2.0 ```python
{
"Areas": "7dYptJU3eKE",
"freq_1": "7raemdfhCtY",
"freq_2": "oSIrzv9LNvo",
"freq_3": "NDJjzG/U34g",
"freq_4": "NDJjzG/U34g",
"freq_5": "j5ilz2RtsY4",
"freq_6": "j5ilz2RtsY4"
}
```		 {"freq_6": "j5ilz2RtsY4", "freq_4": "NDJjzG/U34g"}
deepseek-r1

{"freq_1": "7raemdfhCtY", "freq_2": "NDJjzG/U34g", "freq_3": "j5ilz2RtsY4"}		 {"freq_6": "j5ilz2RtsY4", "freq_4": "NDJjzG/U34g"}
gpto1 {
"Areas": "7dYptJU3eKE",
"freq_1": "7raemdfhCtY"
}		 {"freq_6": "j5ilz2RtsY4", "freq_4": "NDJjzG/U34g"}
gpt-4o-2024-08-06 ```python
{
"Areas": None,
"freq_1": None,
"freq_2": None,
"freq_3": "NDJjzG/U34g",
"freq_4": "j5ilz2RtsY4",
"freq_5": None,
"freq_6": None
}
```		 {"freq_6": "j5ilz2RtsY4", "freq_4": "NDJjzG/U34g"}
DeepSeek-Coder-V2-Lite-Instruct ```python
{
"Areas": "7dYptJU3eKE",
"freq_1": "7raemdfhCtY",
"freq_2": "oSIrzv9LNvo",
"freq_3": "NDJjzG/U34g",
"freq_4": "j5ilz2RtsY4"
}
```		 {"freq_6": "j5ilz2RtsY4", "freq_4": "NDJjzG/U34g"}
Meta-Llama-3.1-405B-Instruct-Turbo {'Areas': None, 'freq_1': None, 'freq_2': None, 'freq_3': None, 'freq_4': None, 'freq_5': None, 'freq_6': None} {"freq_6": "j5ilz2RtsY4", "freq_4": "NDJjzG/U34g"}
Meta-Llama-3.1-70B-Instruct-Turbo {'Areas': '7dYptJU3eKE'} {"freq_6": "j5ilz2RtsY4", "freq_4": "NDJjzG/U34g"}
Qwen2-72B-Instruct ```python
{"Areas": "7dYptJU3eKE"}
```		 {"freq_6": "j5ilz2RtsY4", "freq_4": "NDJjzG/U34g"}
baichuan4 {
'Areas': '7dYptJU3eKE',
'freq_1': '7raemdfhCtY',
'freq_2': 'oSIrzv9LNvo',
'freq_3': 'NDJjzG/U34g',
'freq_4': 'j5ilz2RtsY4'
}		 {"freq_6": "j5ilz2RtsY4", "freq_4": "NDJjzG/U34g"}
doubao {
"Areas": "7dYptJU3eKE"
}		 {"freq_6": "j5ilz2RtsY4", "freq_4": "NDJjzG/U34g"}
gpto1 {
"Areas": "7dYptJU3eKE",
"freq_1": "7raemdfhCtY"
}		 {"freq_6": "j5ilz2RtsY4", "freq_4": "NDJjzG/U34g"}
kimi {'Areas': '7dYptJU3eKE', 'freq_1': '7raemdfhCtY', 'freq_2': 'oSIrzv9LNvo', 'freq_3': 'NDJjzG/U34g', 'freq_4': 'j5ilz2RtsY4'} {"freq_6": "j5ilz2RtsY4", "freq_4": "NDJjzG/U34g"}
minimax ```python
{
"Areas": "7dYptJU3eKE",
"freq_1": "7raemdfhCtY",
"freq_2": "oSIrzv9LNvo",
"freq_3": "NDJjzG/U34g",
"freq_4": "j5ilz2RtsY4"
}
```		 {"freq_6": "j5ilz2RtsY4", "freq_4": "NDJjzG/U34g"}
wenxinyiyan {'freq_1': '7raemdfhCtY', 'freq_2': 'oSIrzv9LNvo', 'freq_3': 'NDJjzG/U34g', 'freq_4': 'j5ilz2RtsY4'} {"freq_6": "j5ilz2RtsY4", "freq_4": "NDJjzG/U34g"}
zhipu ```python
{
"Areas": "7dYptJU3eKE",
"freq_1": "7raemdfhCtY",
"freq_2": "oSIrzv9LNvo",
"freq_3": "NDJjzG/U34g",
"freq_4": "j5ilz2RtsY4",
"freq_5": None,
"freq_6": None
}
```		 {"freq_6": "j5ilz2RtsY4", "freq_4": "NDJjzG/U34g"}
deepseek-v3 {"Areas": "7dYptJU3eKE", "freq_1": "7raemdfhCtY", "freq_2": "oSIrzv9LNvo", "freq_3": "NDJjzG/U34g", "freq_4": "j5ilz2RtsY4"} {"freq_6": "j5ilz2RtsY4", "freq_4": "NDJjzG/U34g"}