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: job__,doc__,borough,house__,street_name,block,lot,bin__,job_type,job_status\n102353819,1,MANHATTAN,200,VESEY STREET,16,140,1000059,A2,R\n301890522,1,BROOKLYN,3057,BRIGHTON 6 STREET,8676,18,3397165,A2,P\n421743297,1,QUEENS,35-06,UNION STREET,4961,19,4112190,A3,X\n301890611,1,BROOKLYN,799,LINCOLN AVENUE,4271,75,3095894,A2,P\n301812821,1,BROOKLYN,252,HEYWARD STREET,2234,10,3061217,A1,R\n420181494,1,QUEENS,84-01,37 AVENUE,1458,40,4035835,DM,X\n301907300,1,BROOKLYN,1224,MYRTLE AVENUE,3216,1,3073099,A2,Q\n301876469,1,BROOKLYN,1858,61 STREET,5526,29,3132483,A2,X\n123923861,2,MANHATTAN,122 CANOPY,WEST 145 STREET,2013,44,1060173,DM,E\n440673718,1,QUEENS,13815,111TH AVENUE,11923,42,4257665,A2,X\n301927565,1,BROOKLYN,767,MARCY AVENUE,1804,1,3050668,A1,X\n310061410,1,BROOKLYN,2848,BRIGHTON 7 STREET,7263,44,3392249,A3,X\n401178569,1,QUEENS,105-50,87 STREET,9149,31,4190407,A2,R\n301896580,1,BROOKLYN,343,89 STREET,6062,57,3154082,A1,R\n \n CSV Table B: Bezp8Kegeiw,pCAjik4u8jI,Qiz4gNNSkjU,qrA0NE/ugMQ,aMV7Uv4npe4,o6kyvs5L8qM,SDXgS2fule4,V9rPaOdeODk\n24591000,16,0,5.0 out of 5 stars,A2,1000059,MANHATTAN,6040452\n8334800,6242,0,5.0 out of 5 stars,DM,3161109,BROOKLYN,6038888\n9875400,1352,0,5.0 out of 5 stars,A2,3324609,BROOKLYN,5941356\n8338300,15652,0,5.0 out of 5 stars,A2,4299432,QUEENS,6040452\n8995500,12050,0,5.0 out of 5 stars,A2,4261657,QUEENS,5941356\n8564500,6802,0,4.0 out of 5 stars,NB,3392757,BROOKLYN,5510456\n8948500,409,0,5.0 out of 5 stars,A2,1005301,MANHATTAN,6040452\n11859900,892,0,5.0 out of 5 stars,A2,1078770,MANHATTAN,5510456\n16537400,1084,0,5.0 out of 5 stars,A3,3414197,BROOKLYN,6038888\n11010400,6086,0,5.0 out of 5 stars,A2,3154739,BROOKLYN,5026787\n7534000,2309,0,5.0 out of 5 stars,A1,3061729,BROOKLYN,6040452\n9818100,13436,0,5.0 out of 5 stars,NB,4286222,QUEENS,5510456\n9965000,792,0,5.0 out of 5 stars,A2,3013325,BROOKLYN,6038888\n20254600,4971,0,5.0 out of 5 stars,A3,4112252,QUEENS,5941356\n \n Output: \n

答案

模型 模型答案 正确答案
金声玉亮2.0 ```python
{
'job_type': 'aMV7Uv4npe4',
'bin__': 'o6kyvs5L8qM',
'borough': 'SDXgS2fule4'
}
```		 {"block": "pCAjik4u8jI", "bin__": "o6kyvs5L8qM", "job_type": "aMV7Uv4npe4", "borough": "SDXgS2fule4"}
deepseek-r1

{"bin__": "o6kyvs5L8qM", "borough": "SDXgS2fule4", "job_type": "aMV7Uv4npe4", "block": "pCAjik4u8jI"}		 {"block": "pCAjik4u8jI", "bin__": "o6kyvs5L8qM", "job_type": "aMV7Uv4npe4", "borough": "SDXgS2fule4"}
gpto1 ```python
{'borough': 'SDXgS2fule4', 'job_type': 'aMV7Uv4npe4'}
```		 {"block": "pCAjik4u8jI", "bin__": "o6kyvs5L8qM", "job_type": "aMV7Uv4npe4", "borough": "SDXgS2fule4"}
gpt-4o-2024-08-06 ```python
{
"borough": "SDXgS2fule4",
"bin__": "o6kyvs5L8qM",
"job_type": "aMV7Uv4npe4"
}
```		 {"block": "pCAjik4u8jI", "bin__": "o6kyvs5L8qM", "job_type": "aMV7Uv4npe4", "borough": "SDXgS2fule4"}
DeepSeek-Coder-V2-Lite-Instruct ```python
{
"job__": "Bezp8Kegeiw",
"doc__": "pCAjik4u8jI",
"borough": "Qiz4gNNSkjU",
"house__": "qrA0NE/ugMQ",
"street_name": "aMV7Uv4npe4",
"block": "o6kyvs5L8qM",
"lot": "SDXgS2fule4",
"bin__": "V9rPaOdeODk",
"job_type": "NB",
"job_status": "SDXgS2fule4"
}
```		 {"block": "pCAjik4u8jI", "bin__": "o6kyvs5L8qM", "job_type": "aMV7Uv4npe4", "borough": "SDXgS2fule4"}
Meta-Llama-3.1-405B-Instruct-Turbo {'job_type': 'aMV7Uv4npe4', 'bin__': 'o6kyvs5L8qM', 'borough': 'SDXgS2fule4'} {"block": "pCAjik4u8jI", "bin__": "o6kyvs5L8qM", "job_type": "aMV7Uv4npe4", "borough": "SDXgS2fule4"}
Meta-Llama-3.1-70B-Instruct-Turbo {'job_type': 'Qiz4gNNSkjU', 'bin__': 'aMV7Uv4npe4', 'borough': 'o6kyvs5L8qM'} {"block": "pCAjik4u8jI", "bin__": "o6kyvs5L8qM", "job_type": "aMV7Uv4npe4", "borough": "SDXgS2fule4"}
Qwen2-72B-Instruct {'job__': 'Bezp8Kegeiw', 'borough': 'V9rPaOdeODk', 'bin__': 'aMV7Uv4npe4', 'job_type': 'qrA0NE/ugMQ'} {"block": "pCAjik4u8jI", "bin__": "o6kyvs5L8qM", "job_type": "aMV7Uv4npe4", "borough": "SDXgS2fule4"}
baichuan4 Based on the provided CSV tables, it appears that the following columns can be mapped between Table A and Table B:

- `job__` in Table A does not have a direct match in Table B.
- `doc__` in Table A does not have a direct match in Table B.
- `borough` in Table A maps to `borough` in Table B.
- `house__` in Table A does not have a direct match in Table B.
- `street_name` in Table A does not have a direct match in Table B.
- `block` in Table A does not have a direct match in Table B.
- `lot` in Table A does not have a direct match in Table B.
- `bin__` in Table A maps to `bin__` in Table B.
- `job_type` in Table A maps to `job_type` in Table B.
- `job_status` in Table A does not have a direct match in Table B.

Therefore, the join mapping dictionary would be:

```python
{
'borough': 'borough',
'bin__': 'bin__',
'job_type': 'job_type'
}
```

This dictionary indicates which columns in Table A correspond to columns in Table B for the purpose of joining the two datasets.		 {"block": "pCAjik4u8jI", "bin__": "o6kyvs5L8qM", "job_type": "aMV7Uv4npe4", "borough": "SDXgS2fule4"}
doubao {"job__": "Bezp8Kegeiw", "doc__": "pCAjik4u8jI", "borough": "o6kyvs5L8qM", "bin__": "SDXgS2fule4"} {"block": "pCAjik4u8jI", "bin__": "o6kyvs5L8qM", "job_type": "aMV7Uv4npe4", "borough": "SDXgS2fule4"}
gpto1 ```python
{'borough': 'SDXgS2fule4', 'job_type': 'aMV7Uv4npe4'}
```		 {"block": "pCAjik4u8jI", "bin__": "o6kyvs5L8qM", "job_type": "aMV7Uv4npe4", "borough": "SDXgS2fule4"}
kimi {'bin__': 'V9rPaOdeODk', 'borough': 'qrA0NE/ugMQ', 'job_type': 'aMV7Uv4npe4', 'job_status': 'SDXgS2fule4'} {"block": "pCAjik4u8jI", "bin__": "o6kyvs5L8qM", "job_type": "aMV7Uv4npe4", "borough": "SDXgS2fule4"}
minimax ```python
{
"job__": "Bezp8Kegeiw",
"doc__": "pCAjik4u8jI",
"borough": "Qiz4gNNSkjU",
"house__": "qrA0NE/ugMQ",
"street_name": "aMV7Uv4npe4",
"block": "o6kyvs5L8qM",
"lot": "SDXgS2fule4",
"bin__": "V9rPaOdeODk",
"job_type": "None", # No corresponding column in Table B
"job_status": "None" # No corresponding column in Table B
}
```		 {"block": "pCAjik4u8jI", "bin__": "o6kyvs5L8qM", "job_type": "aMV7Uv4npe4", "borough": "SDXgS2fule4"}
wenxinyiyan ```python
{
'job__': 'o6kyvs5L8qM',
'doc__': None,
'borough': 'SDXgS2fule4',
'house__': None,
'street_name': None,
'block': None,
'lot': None,
'bin__': 'aMV7Uv4npe4',
'job_type': 'Qiz4gNNSkjU',
'job_status': None
}
```		 {"block": "pCAjik4u8jI", "bin__": "o6kyvs5L8qM", "job_type": "aMV7Uv4npe4", "borough": "SDXgS2fule4"}
zhipu ```python
{
"bin__": "V9rPaOdeODk",
"job_type": "aMV7Uv4npe4",
"borough": "SDXgS2fule4"
}
```		 {"block": "pCAjik4u8jI", "bin__": "o6kyvs5L8qM", "job_type": "aMV7Uv4npe4", "borough": "SDXgS2fule4"}
deepseek-v3 {'borough': 'V9rPaOdeODk', 'bin__': 'o6kyvs5L8qM', 'job_type': 'aMV7Uv4npe4'} {"block": "pCAjik4u8jI", "bin__": "o6kyvs5L8qM", "job_type": "aMV7Uv4npe4", "borough": "SDXgS2fule4"}