金声玉亮2.0模型评测报告

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: drugName,url,description\nSimvastatin,https://www.drugs.co,simvastatin belongs \nOxandrolone,https://www.drugs.co,oxandrolone is a man\nEnbrel,https://www.drugs.co,enbrel (etanercept) \nGeodon,https://www.drugs.co,geodon (ziprasidone)\nBotox,https://www.drugs.co,botox (onabotulinumt\nDigoxin,https://www.drugs.co,digoxin is derived f\nFlexeril,https://www.drugs.co,flexeril (cyclobenza\nMethadone,https://www.drugs.co,methadone is an opio\nLosartan,https://www.drugs.co,losartan (cozaar) be\nHyoscyamine,https://www.drugs.co,hyoscyamine is used \nQbrelis,https://www.drugs.co,qbrelis is an ace in\nKeflex,https://www.drugs.co,keflex (cephalexin) \nTemazepam,https://www.drugs.co,temazepam is a benzo\nVicodin,https://www.drugs.co,vicodin contains a c\nMorphine,https://www.drugs.co,morphine is an opioi\nNystatin and triamci,https://www.drugs.co,nystatin is an antif\nMethotrexate,https://www.drugs.co,methotrexate interfe\n \n CSV Table B: 7SxcDOM+98w,d6QN21UPOVs,ChUIBl78HP8\n0,https://www.drugs.co,gas\n0,https://www.drugs.co,gas\n0,https://www.drugs.co,gas\n0,https://www.drugs.co,gas\n0,https://www.drugs.co,gas\n0,https://www.drugs.co,gas\n0,https://www.drugs.co,gas\n0,https://www.drugs.co,gas\n0,https://www.drugs.co,gas\n0,https://www.drugs.co,gas\n0,https://www.drugs.co,gas\n0,https://www.drugs.co,gas\n0,https://www.drugs.co,gas\n0,https://www.drugs.co,gas\n0,https://www.drugs.co,gas\n0,https://www.drugs.co,gas\n0,https://www.drugs.co,gas\n0,https://www.drugs.co,gas\n \n Output: \n

答案

模型	模型答案	正确答案
金声玉亮2.0	{'url': 'd6QN21UPOVs'}	{"url": "d6QN21UPOVs"}
deepseek-r1	{"url": "d6QN21UPOVs"}	{"url": "d6QN21UPOVs"}
gpto1	```python {'drugName': None, 'url': 'd6QN21UPOVs', 'description': None} ```	{"url": "d6QN21UPOVs"}
gpt-4o-2024-08-06	```python {'drugName': None, 'url': 'd6QN21UPOVs', 'description': None} ```	{"url": "d6QN21UPOVs"}
DeepSeek-Coder-V2-Lite-Instruct	{ "drugName": "7SxcDOM+98w", "url": "d6QN21UPOVs", "description": "ChUIBl78HP8" }	{"url": "d6QN21UPOVs"}
Meta-Llama-3.1-405B-Instruct-Turbo	{'url': 'd6QN21UPOVs'}	{"url": "d6QN21UPOVs"}
Meta-Llama-3.1-70B-Instruct-Turbo	{'url': 'd6QN21UPOVs'}	{"url": "d6QN21UPOVs"}
Qwen2-72B-Instruct	{'drugName': '7SxcDOM+98w', 'url': 'd6QN21UPOVs', 'description': 'ChUIBl78HP8'}	{"url": "d6QN21UPOVs"}
baichuan4	Based on the provided CSV tables, it seems that there is no direct relationship between the columns of Table A and Table B that can be used to create a meaningful join mapping. The columns in Table A include drug names, URLs, and descriptions, while Table B contains a series of zeros and the same URL repeated multiple times. Without additional context or information about how these tables are related, it's not possible to create a valid join mapping. Typically, a join mapping requires at least one column in each table that contains matching or related data. If there is additional information or a specific relationship between the tables that you haven't mentioned, please provide it so that a proper join mapping can be created.	{"url": "d6QN21UPOVs"}
doubao	{ "drugName": "", "url": "", "description": "" }	{"url": "d6QN21UPOVs"}
gpto1	```python {'drugName': None, 'url': 'd6QN21UPOVs', 'description': None} ```	{"url": "d6QN21UPOVs"}
kimi	{'url': '1'}	{"url": "d6QN21UPOVs"}
minimax	```python { 'drugName': '7SxcDOM+98w', 'url': 'd6QN21UPOVs', 'description': 'ChUIBl78HP8' } ```	{"url": "d6QN21UPOVs"}
wenxinyiyan	```python {'url': 'd6QN21UPOVs'} ```	{"url": "d6QN21UPOVs"}
zhipu	```python { "url": "d6QN21UPOVs" } ```	{"url": "d6QN21UPOVs"}
deepseek-v3	{'url': 'd6QN21UPOVs'}	{"url": "d6QN21UPOVs"}

模型

模型答案

正确答案

金声玉亮2.0

{'url': 'd6QN21UPOVs'}

{"url": "d6QN21UPOVs"}

deepseek-r1

{"url": "d6QN21UPOVs"}

gpto1

```python
{'drugName': None, 'url': 'd6QN21UPOVs', 'description': None}
```

{"url": "d6QN21UPOVs"}

gpt-4o-2024-08-06

```python
{'drugName': None, 'url': 'd6QN21UPOVs', 'description': None}
```

{"url": "d6QN21UPOVs"}

DeepSeek-Coder-V2-Lite-Instruct

{
"drugName": "7SxcDOM+98w",
"url": "d6QN21UPOVs",
"description": "ChUIBl78HP8"
}

{"url": "d6QN21UPOVs"}

Meta-Llama-3.1-405B-Instruct-Turbo

{'url': 'd6QN21UPOVs'}

{"url": "d6QN21UPOVs"}

Meta-Llama-3.1-70B-Instruct-Turbo

{'url': 'd6QN21UPOVs'}

{"url": "d6QN21UPOVs"}

Qwen2-72B-Instruct

{'drugName': '7SxcDOM+98w', 'url': 'd6QN21UPOVs', 'description': 'ChUIBl78HP8'}

{"url": "d6QN21UPOVs"}

baichuan4

Based on the provided CSV tables, it seems that there is no direct relationship between the columns of Table A and Table B that can be used to create a meaningful join mapping. The columns in Table A include drug names, URLs, and descriptions, while Table B contains a series of zeros and the same URL repeated multiple times.

Without additional context or information about how these tables are related, it's not possible to create a valid join mapping. Typically, a join mapping requires at least one column in each table that contains matching or related data.

If there is additional information or a specific relationship between the tables that you haven't mentioned, please provide it so that a proper join mapping can be created.

{"url": "d6QN21UPOVs"}

doubao

{
"drugName": "",
"url": "",
"description": ""
}

{"url": "d6QN21UPOVs"}

gpto1

```python
{'drugName': None, 'url': 'd6QN21UPOVs', 'description': None}
```

{"url": "d6QN21UPOVs"}

kimi

{'url': '1'}

{"url": "d6QN21UPOVs"}

minimax

```python
{
'drugName': '7SxcDOM+98w',
'url': 'd6QN21UPOVs',
'description': 'ChUIBl78HP8'
}
```

{"url": "d6QN21UPOVs"}

wenxinyiyan

```python
{'url': 'd6QN21UPOVs'}
```

{"url": "d6QN21UPOVs"}

zhipu

```python
{
"url": "d6QN21UPOVs"
}
```

{"url": "d6QN21UPOVs"}

deepseek-v3

{'url': 'd6QN21UPOVs'}

{"url": "d6QN21UPOVs"}