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Update README.md

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@@ -16,7 +16,7 @@ We evaluate the code solution generation ability of TLLM on three benchmarks: Wi
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  | TaPEX | 38.5 | – | – | – | 83.9 | 15.0 | / | 45.8 |
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  | TaPas | 31.5 | – | – | – | 74.2 | 23.1 | / | 42.92 |
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  | TableLlama | 24.0 | 22.2 | 18.9 | 6.4 | 43.7 | 9.0 | / | 20.7 |
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- | GPT3.5 | 58.5 |<ins>72.1</ins>| 71.2 | 60.8 | 81.7 | 67.4 | 77.1 | 69.8 |
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  | GPT4 |**74.1**|**77.1**|**78.4**|**69.5** | 84.0 | 69.5 | 77.8 | **75.8**|
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  | Llama2-Chat (13B) | 48.8 | 49.6 | 67.7 | 61.5 | – | – | – | 56.9 |
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  | CodeLlama (13B) | 43.4 | 47.2 | 57.2 | 49.7 | 38.3 | 21.9 | 47.6 | 43.6 |
@@ -33,17 +33,17 @@ The prompts we used for generating code solutions and text answers are introduce
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  ### Code Solution
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  The prompt template for the insert, delete, update, query, and plot operations on a single table.
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  ```
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- Below are the first few lines of a CSV file. You need to write a Python program to solve the provided question.
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  Header and first few lines of CSV file:
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  {csv_data}
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- Question: {question}
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  ```
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  The prompt template for the merge operation on two tables.
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  ```
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- Below are the first few lines two CSV file. You need to write a Python program to solve the provided question.
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  Header and first few lines of CSV file 1:
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  {csv_data1}
@@ -51,7 +51,7 @@ Header and first few lines of CSV file 1:
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  Header and first few lines of CSV file 2:
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  {csv_data2}
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- Question: {question}
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  ```
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  The csv_data field is filled with the first few lines of your provided table file. Below is an example:
@@ -67,7 +67,7 @@ I,0.33,0.255,0.08,0.205,0.0895,0.0395,0.055,7
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  ### Text Answer
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  The prompt template for direct text answer generation on short tables.
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  ````
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- Offer a thorough and accurate solution that directly addresses the Question outlined in the [Question].
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  ### [Table Text]
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  {table_descriptions}
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@@ -79,5 +79,5 @@ Offer a thorough and accurate solution that directly addresses the Question outl
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  ### [Question]
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  {question}
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- ### [Solution]
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  ````
 
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  | TaPEX | 38.5 | – | – | – | 83.9 | 15.0 | / | 45.8 |
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  | TaPas | 31.5 | – | – | – | 74.2 | 23.1 | / | 42.92 |
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  | TableLlama | 24.0 | 22.2 | 18.9 | 6.4 | 43.7 | 9.0 | / | 20.7 |
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+ | GPT3.5 | 58.5 |<ins>72.1</ins>| 71.2 | 60.8 | 81.7 | 67.4 | 77.1 | 69.8 |
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  | GPT4 |**74.1**|**77.1**|**78.4**|**69.5** | 84.0 | 69.5 | 77.8 | **75.8**|
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  | Llama2-Chat (13B) | 48.8 | 49.6 | 67.7 | 61.5 | – | – | – | 56.9 |
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  | CodeLlama (13B) | 43.4 | 47.2 | 57.2 | 49.7 | 38.3 | 21.9 | 47.6 | 43.6 |
 
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  ### Code Solution
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  The prompt template for the insert, delete, update, query, and plot operations on a single table.
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  ```
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+ [INST]Below are the first few lines of a CSV file. You need to write a Python program to solve the provided question.
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  Header and first few lines of CSV file:
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  {csv_data}
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+ Question: {question}[/INST]
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  ```
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  The prompt template for the merge operation on two tables.
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  ```
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+ [INST]Below are the first few lines two CSV file. You need to write a Python program to solve the provided question.
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  Header and first few lines of CSV file 1:
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  {csv_data1}
 
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  Header and first few lines of CSV file 2:
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  {csv_data2}
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+ Question: {question}[/INST]
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  ```
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  The csv_data field is filled with the first few lines of your provided table file. Below is an example:
 
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  ### Text Answer
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  The prompt template for direct text answer generation on short tables.
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  ````
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+ [INST]Offer a thorough and accurate solution that directly addresses the Question outlined in the [Question].
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  ### [Table Text]
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  {table_descriptions}
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  ### [Question]
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  {question}
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+ ### [Solution][INST/]
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  ````