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: :@computed_region_dqjc_k29y,:@computed_region_jdnu_jmst,:@computed_region_5d9v_6bui,permitnum,worktype,applicationtype,location,:@computed_region_mfuy_bee2,:@computed_region_2fpw_swv9,:@computed_region_9p4x_9cjt\n,,,BLD2023-04121,Residential,Building,{'human_address': '{,,,\n1.0,80.0,26.0,BLD2023-06991,Commercial,Building,{'latitude': '40.771,19.0,18.0,12.0\n24.0,97.0,26.0,BLD2023-08421,Residential,Building,{'latitude': '40.713,19.0,27.0,573.0\n12.0,67.0,26.0,BLD2023-05798,Commercial,Building,{'latitude': '40.739,19.0,26.0,358.0\n1.0,72.0,26.0,BLD2023-07147,Commercial,Building,{'latitude': '40.762,19.0,21.0,495.0\n23.0,68.0,26.0,BLD2023-03932,Commercial,Building,{'latitude': '40.729,19.0,24.0,243.0\n12.0,68.0,26.0,BLD2023-06214,Residential,Building,{'latitude': '40.737,19.0,24.0,583.0\n1.0,72.0,26.0,BLD2023-08511,Commercial,Building,{'latitude': '40.727,19.0,21.0,364.0\n24.0,68.0,26.0,BLD2023-08557,Residential,Building,{'latitude': '40.744,19.0,24.0,244.0\n12.0,67.0,26.0,BLD2023-06743,Commercial,Building,{'latitude': '40.734,19.0,26.0,358.0\n \n CSV Table B: CMSip4kAsFA,v02+v1698aE,sXpNMhZkCLA,t8DtGa8xUVw,WPAmEDDzzew,SfVC0olx/OE,MOmbowjYQ+I,hOL2mHzD+cg\nBLD2023-06614,No,26.0,0,358.0,24591000,21.0,Commercial\nBLD2023-06869,No,26.0,0,361.0,8334800,20.0,Residential\nBLD2023-05395,No,26.0,0,364.0,9875400,21.0,Residential\nBLD2023-07713,No,26.0,0,242.0,8338300,21.0,Residential\nBLD2023-05391,No,26.0,0,364.0,8995500,21.0,Residential\nBLD2023-02758,Si,26.0,0,474.0,8564500,20.0,Residential\nBLD2023-06021,Si,26.0,0,357.0,8948500,21.0,Commercial\nBLD2023-06051,Si,26.0,0,161.0,11859900,20.0,Residential\nBLD2023-08747,No,26.0,0,14.0,16537400,24.0,Commercial\nBLD2023-07969,No,26.0,0,573.0,11010400,27.0,Residential\nBLD2023-05155,Si,26.0,0,567.0,7534000,21.0,Commercial\n \n Output: \n

答案

模型 模型答案 正确答案
金声玉亮2.0 {'permitnum': 'CMSip4kAsFA', 'worktype': 'hOL2mHzD+cg'} {":@computed_region_2fpw_swv9": "MOmbowjYQ+I", "worktype": "hOL2mHzD+cg", ":@computed_region_9p4x_9cjt": "WPAmEDDzzew", "permitnum": "CMSip4kAsFA", ":@computed_region_5d9v_6bui": "sXpNMhZkCLA"}
deepseek-r1

{"permitnum": "CMSip4kAsFA", "worktype": "hOL2mHzD+cg", "applicationtype": "", "location": "", "@computed_region_5d9v_6bui": "sXpNMhZkCLA"}		 {":@computed_region_2fpw_swv9": "MOmbowjYQ+I", "worktype": "hOL2mHzD+cg", ":@computed_region_9p4x_9cjt": "WPAmEDDzzew", "permitnum": "CMSip4kAsFA", ":@computed_region_5d9v_6bui": "sXpNMhZkCLA"}
gpto1 ```python
{
'permitnum': 'CMSip4kAsFA',
'worktype': 'hOL2mHzD+cg',
':@computed_region_5d9v_6bui': 'sXpNMhZkCLA',
':@computed_region_9p4x_9cjt': 'WPAmEDDzzew',
':@computed_region_2fpw_swv9': 'MOmbowjYQ+I'
}
```		 {":@computed_region_2fpw_swv9": "MOmbowjYQ+I", "worktype": "hOL2mHzD+cg", ":@computed_region_9p4x_9cjt": "WPAmEDDzzew", "permitnum": "CMSip4kAsFA", ":@computed_region_5d9v_6bui": "sXpNMhZkCLA"}
gpt-4o-2024-08-06 ```python
{
"permitnum": "CMSip4kAsFA",
"worktype": "hOL2mHzD+cg"
}
```		 {":@computed_region_2fpw_swv9": "MOmbowjYQ+I", "worktype": "hOL2mHzD+cg", ":@computed_region_9p4x_9cjt": "WPAmEDDzzew", "permitnum": "CMSip4kAsFA", ":@computed_region_5d9v_6bui": "sXpNMhZkCLA"}
DeepSeek-Coder-V2-Lite-Instruct ```python
{
"permitnum": "CMSip4kAsFA",
"worktype": "v02+v1698aE",
"applicationtype": "sXpNMhZkCLA",
"location": "t8DtGa8xUVw",
"human_address": "WPAmEDDzzew",
"latitude": "SfVC0olx/OE",
"longitude": "MOmbowjYQ+I",
"height": "hOL2mHzD+cg"
}
```		 {":@computed_region_2fpw_swv9": "MOmbowjYQ+I", "worktype": "hOL2mHzD+cg", ":@computed_region_9p4x_9cjt": "WPAmEDDzzew", "permitnum": "CMSip4kAsFA", ":@computed_region_5d9v_6bui": "sXpNMhZkCLA"}
Meta-Llama-3.1-405B-Instruct-Turbo {'permitnum': 'CMSip4kAsFA', 'worktype': 'hOL2mHzD+cg'} {":@computed_region_2fpw_swv9": "MOmbowjYQ+I", "worktype": "hOL2mHzD+cg", ":@computed_region_9p4x_9cjt": "WPAmEDDzzew", "permitnum": "CMSip4kAsFA", ":@computed_region_5d9v_6bui": "sXpNMhZkCLA"}
Meta-Llama-3.1-70B-Instruct-Turbo {'permitnum': 't8DtGa8xUVw', 'worktype': 'WPAmEDDzzew', 'applicationtype': 'SfVC0olx/OE'} {":@computed_region_2fpw_swv9": "MOmbowjYQ+I", "worktype": "hOL2mHzD+cg", ":@computed_region_9p4x_9cjt": "WPAmEDDzzew", "permitnum": "CMSip4kAsFA", ":@computed_region_5d9v_6bui": "sXpNMhZkCLA"}
Qwen2-72B-Instruct {'permitnum': 'CMSip4kAsFA', 'worktype': 'hOL2mHzD+cg', 'location.latitude': 't8DtGa8xUVw', 'location.longitude': 'WPAmEDDzzew'} {":@computed_region_2fpw_swv9": "MOmbowjYQ+I", "worktype": "hOL2mHzD+cg", ":@computed_region_9p4x_9cjt": "WPAmEDDzzew", "permitnum": "CMSip4kAsFA", ":@computed_region_5d9v_6bui": "sXpNMhZkCLA"}
baichuan4 Based on the provided CSV tables, it appears that the only common column between Table A and Table B is 'permitnum'. However, the data in Table A seems to be incomplete or corrupted, as it contains a mix of different types of information, including dictionaries and lists, which are not typical for CSV files.

Assuming that the 'permitnum' column is the key for joining these tables, the mapping dictionary would look like this:

```python
{
"@computed_region_dqjc_k29y": None,
"@computed_region_jdnu_jmst": None,
"@computed_region_5d9v_6bui": None,
"permitnum": "permitnum",
"worktype": None,
"applicationtype": None,
"location": None,
"@computed_region_mfuy_bee2": None,
"@computed_region_2fpw_swv9": None,
"@computed_region_9p4x_9cjt": None
}
```

In this dictionary, `None` is used to indicate that there is no corresponding column in Table B for those columns in Table A. Only the 'permitnum' column has a match and is used for the join operation. If there are other columns in Table B that should correspond to columns in Table A, please provide more details or correct the format of Table A to include proper CSV data.		 {":@computed_region_2fpw_swv9": "MOmbowjYQ+I", "worktype": "hOL2mHzD+cg", ":@computed_region_9p4x_9cjt": "WPAmEDDzzew", "permitnum": "CMSip4kAsFA", ":@computed_region_5d9v_6bui": "sXpNMhZkCLA"}
doubao {"permitnum": "CMSip4kAsFA"} {":@computed_region_2fpw_swv9": "MOmbowjYQ+I", "worktype": "hOL2mHzD+cg", ":@computed_region_9p4x_9cjt": "WPAmEDDzzew", "permitnum": "CMSip4kAsFA", ":@computed_region_5d9v_6bui": "sXpNMhZkCLA"}
gpto1 ```python
{
'permitnum': 'CMSip4kAsFA',
'worktype': 'hOL2mHzD+cg',
':@computed_region_5d9v_6bui': 'sXpNMhZkCLA',
':@computed_region_9p4x_9cjt': 'WPAmEDDzzew',
':@computed_region_2fpw_swv9': 'MOmbowjYQ+I'
}
```		 {":@computed_region_2fpw_swv9": "MOmbowjYQ+I", "worktype": "hOL2mHzD+cg", ":@computed_region_9p4x_9cjt": "WPAmEDDzzew", "permitnum": "CMSip4kAsFA", ":@computed_region_5d9v_6bui": "sXpNMhZkCLA"}
kimi ```python
{"permitnum": "BLD2023-"}
```		 {":@computed_region_2fpw_swv9": "MOmbowjYQ+I", "worktype": "hOL2mHzD+cg", ":@computed_region_9p4x_9cjt": "WPAmEDDzzew", "permitnum": "CMSip4kAsFA", ":@computed_region_5d9v_6bui": "sXpNMhZkCLA"}
minimax Based on the provided CSV data, we need to map columns from Table A to Table B. However, the data provided for Table A is not in a standard CSV format, as it seems to be a mix of column names and data rows, and the data rows are not properly formatted as CSV rows. Additionally, the data for Table B is also not in a standard CSV format, but it is more recognizable as a list of values that could correspond to columns.

For the purpose of this exercise, I will assume that the first row of Table A is the header row and that the data rows are formatted incorrectly. I will also assume that the first row of Table B is the header row and that the data rows are formatted correctly.

Given these assumptions, here is a possible mapping based on the provided data:

Table A header: `permitnum, worktype, applicationtype, location`
Table B header: `permitnum, unknown1, latitude, unknown2, longitude, unknown3, unknown4, buildingtype`

The `permitnum` column seems to be a common identifier in both tables, so it can be used as a join key. The other columns do not have direct matches, but we can infer that `worktype` and `applicationtype` in Table		 {":@computed_region_2fpw_swv9": "MOmbowjYQ+I", "worktype": "hOL2mHzD+cg", ":@computed_region_9p4x_9cjt": "WPAmEDDzzew", "permitnum": "CMSip4kAsFA", ":@computed_region_5d9v_6bui": "sXpNMhZkCLA"}
wenxinyiyan ```python
{'permitnum': 'CMSip4kAsFA', 'worktype': 'hOL2mHzD+cg'}
```		 {":@computed_region_2fpw_swv9": "MOmbowjYQ+I", "worktype": "hOL2mHzD+cg", ":@computed_region_9p4x_9cjt": "WPAmEDDzzew", "permitnum": "CMSip4kAsFA", ":@computed_region_5d9v_6bui": "sXpNMhZkCLA"}
zhipu ```python
{
"permitnum": "CMSip4kAsFA",
"worktype": "hOL2mHzD+cg"
}
```		 {":@computed_region_2fpw_swv9": "MOmbowjYQ+I", "worktype": "hOL2mHzD+cg", ":@computed_region_9p4x_9cjt": "WPAmEDDzzew", "permitnum": "CMSip4kAsFA", ":@computed_region_5d9v_6bui": "sXpNMhZkCLA"}
deepseek-v3 {"permitnum": "t8DtGa8xUVw", "worktype": "hOL2mHzD+cg", "applicationtype": "sXpNMhZkCLA"} {":@computed_region_2fpw_swv9": "MOmbowjYQ+I", "worktype": "hOL2mHzD+cg", ":@computed_region_9p4x_9cjt": "WPAmEDDzzew", "permitnum": "CMSip4kAsFA", ":@computed_region_5d9v_6bui": "sXpNMhZkCLA"}