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: Date,Open,High,Low,Close,Volume\n2013-01-04,42.459999,42.5,41.82,41.970001,15428500\n2013-12-18,47.869999,48.93,47.650002,48.900002,13549700\n2013-09-18,47.810001,48.709999,47.630001,48.400002,14008700\n2015-04-27,57.830002,58.029999,56.880001,57.099998,10599600\n2015-07-06,57.240002,57.84,56.639999,57.549999,8054100\n2015-11-16,52.189999,53.810001,52.130001,53.700001,6907800\n2014-03-10,57.439999,57.619999,57.0,57.32,7383200\n2014-12-16,56.970001,58.290001,56.779999,56.799999,11214000\n2015-12-15,52.48,53.189999,52.23,52.900002,11585900\n2013-11-20,47.98,48.419998,47.75,48.130001,8251900\n2014-08-08,55.869999,56.610001,55.580002,56.549999,7081500\n2014-11-04,58.869999,59.709999,58.869999,59.369999,11338400\n2012-11-12,44.470001,44.52,43.880001,44.02,7329800\n2014-12-22,59.119999,59.560001,58.549999,58.959999,10010500\n2014-01-27,52.860001,54.099998,52.529999,52.529999,31002000\n2014-02-07,53.650002,54.82,53.439999,54.77,14497100\n2013-07-05,46.93,47.299999,46.610001,47.16,8103000\n \n CSV Table B: uUeSJYWTyDY,sK4/vfuebl0,9etcI5xa42c\n14656200,No,2024-04-23T05:00:01.\n11893000,No,2024-04-23T05:00:01.\n7429500,No,2024-04-23T05:00:01.\n14065400,No,2024-04-23T05:00:01.\n14165400,No,2024-04-23T05:00:01.\n8649500,Si,2024-04-23T05:00:01.\n12117800,Si,2024-04-23T05:00:01.\n9935100,Si,2024-04-23T05:00:01.\n5187600,No,2024-04-23T05:00:01.\n14206900,No,2024-04-23T05:00:01.\n6900000,Si,2024-04-23T05:00:01.\n8981200,No,2024-04-23T05:00:01.\n9639700,Si,2024-04-23T05:00:01.\n8654800,Si,2024-04-23T05:00:01.\n7914600,No,2024-04-23T05:00:01.\n7533400,No,2024-04-23T05:00:01.\n8617800,No,2024-04-23T05:00:01.\n \n Output: \n

答案

模型	模型答案	正确答案
金声玉亮2.0	{'Volume': 'uUeSJYWTyDY'}	{"Volume": "uUeSJYWTyDY"}
deepseek-r1	{'Date': '9etcI5xa42c', 'Volume': 'uUeSJYWTyDY'}	{"Volume": "uUeSJYWTyDY"}
gpto1	```python {'Volume': 'uUeSJYWTyDY'} ```	{"Volume": "uUeSJYWTyDY"}
gpt-4o-2024-08-06	```python { "Date": None, "Open": None, "High": None, "Low": None, "Close": None, "Volume": "uUeSJYWTyDY" } ```	{"Volume": "uUeSJYWTyDY"}
DeepSeek-Coder-V2-Lite-Instruct	{ "Date": "uUeSJYWTyDY", "Open": "sK4/vfuebl0", "High": "sK4/vfuebl0", "Low": "sK4/vfuebl0", "Close": "sK4/vfuebl0", "Volume": "9etcI5xa42c" }	{"Volume": "uUeSJYWTyDY"}
Meta-Llama-3.1-405B-Instruct-Turbo	{'Volume': 'uUeSJYWTyDY'}	{"Volume": "uUeSJYWTyDY"}
Meta-Llama-3.1-70B-Instruct-Turbo	{'Volume': 'uUeSJYWTyDY'}	{"Volume": "uUeSJYWTyDY"}
Qwen2-72B-Instruct	{'Volume': 'uUeSJYWTyDY'}	{"Volume": "uUeSJYWTyDY"}
baichuan4	Based on the provided CSV tables, it appears that there is no direct relationship between the columns of Table A and Table B. Table A contains financial data with columns for date, open, high, low, close, and volume, while Table B contains three columns with seemingly unrelated data. Since there is no clear mapping between the columns of Table A and Table B, it is not possible to create a valid join mapping as requested. A join mapping typically requires a common key or related data between two datasets to merge them based on a defined relationship. If there was additional context or a specific relationship between the tables that was not provided, please share that information so a proper join mapping can be created.	{"Volume": "uUeSJYWTyDY"}
doubao	{ "Volume": "uUeSJYWTyDY" }	{"Volume": "uUeSJYWTyDY"}
gpto1	```python {'Volume': 'uUeSJYWTyDY'} ```	{"Volume": "uUeSJYWTyDY"}
kimi	{ "Volume": "uUeSJYWTyDY" }	{"Volume": "uUeSJYWTyDY"}
minimax	```python { "Volume": "uUeSJYWTyDY", "Date": "9etcI5xa42c" } ```	{"Volume": "uUeSJYWTyDY"}
wenxinyiyan	{'Volume': 'uUeSJYWTyDY'}	{"Volume": "uUeSJYWTyDY"}
zhipu	```python { "Volume": "uUeSJYWTyDY" } ```	{"Volume": "uUeSJYWTyDY"}
deepseek-v3	{}	{"Volume": "uUeSJYWTyDY"}

模型

模型答案

正确答案

金声玉亮2.0

{'Volume': 'uUeSJYWTyDY'}

{"Volume": "uUeSJYWTyDY"}

deepseek-r1

{'Date': '9etcI5xa42c', 'Volume': 'uUeSJYWTyDY'}

{"Volume": "uUeSJYWTyDY"}

gpto1

```python
{'Volume': 'uUeSJYWTyDY'}
```

{"Volume": "uUeSJYWTyDY"}

gpt-4o-2024-08-06

```python
{
"Date": None,
"Open": None,
"High": None,
"Low": None,
"Close": None,
"Volume": "uUeSJYWTyDY"
}
```

{"Volume": "uUeSJYWTyDY"}

DeepSeek-Coder-V2-Lite-Instruct

{
"Date": "uUeSJYWTyDY",
"Open": "sK4/vfuebl0",
"High": "sK4/vfuebl0",
"Low": "sK4/vfuebl0",
"Close": "sK4/vfuebl0",
"Volume": "9etcI5xa42c"
}

{"Volume": "uUeSJYWTyDY"}

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

{'Volume': 'uUeSJYWTyDY'}

{"Volume": "uUeSJYWTyDY"}

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

{'Volume': 'uUeSJYWTyDY'}

{"Volume": "uUeSJYWTyDY"}

Qwen2-72B-Instruct

{'Volume': 'uUeSJYWTyDY'}

{"Volume": "uUeSJYWTyDY"}

baichuan4

Based on the provided CSV tables, it appears that there is no direct relationship between the columns of Table A and Table B. Table A contains financial data with columns for date, open, high, low, close, and volume, while Table B contains three columns with seemingly unrelated data.

Since there is no clear mapping between the columns of Table A and Table B, it is not possible to create a valid join mapping as requested. A join mapping typically requires a common key or related data between two datasets to merge them based on a defined relationship.

If there was additional context or a specific relationship between the tables that was not provided, please share that information so a proper join mapping can be created.

{"Volume": "uUeSJYWTyDY"}

doubao

{
"Volume": "uUeSJYWTyDY"
}

{"Volume": "uUeSJYWTyDY"}

gpto1

```python
{'Volume': 'uUeSJYWTyDY'}
```

{"Volume": "uUeSJYWTyDY"}

kimi

{
"Volume": "uUeSJYWTyDY"
}

{"Volume": "uUeSJYWTyDY"}

minimax

```python
{
"Volume": "uUeSJYWTyDY",
"Date": "9etcI5xa42c"
}
```

{"Volume": "uUeSJYWTyDY"}

wenxinyiyan

{'Volume': 'uUeSJYWTyDY'}

{"Volume": "uUeSJYWTyDY"}

zhipu

```python
{
"Volume": "uUeSJYWTyDY"
}
```

{"Volume": "uUeSJYWTyDY"}

deepseek-v3

{}

{"Volume": "uUeSJYWTyDY"}