Update README.md
Browse files
    	
        README.md
    CHANGED
    
    | @@ -74,7 +74,7 @@ viewer: false | |
| 74 |  | 
| 75 |  | 
| 76 | 
             
            ## Dataset Summary
         | 
| 77 | 
            -
            The Vault is a multilingual code-text dataset with over  | 
| 78 |  | 
| 79 | 
             
            ## Supported Tasks
         | 
| 80 | 
             
            The Vault can be used for pretraining LLMs or downstream code-text interaction tasks. A number of tasks related to code understanding and geneartion can be constructed using The Vault such as *code summarization*, *text-to-code generation* and *code search*.
         | 
| @@ -186,19 +186,19 @@ In this repo, the inline level data is not split, and contain in only train set. | |
| 186 | 
             
            ## Dataset Statistics
         | 
| 187 |  | 
| 188 |  | 
| 189 | 
            -
            |            |  | 
| 190 | 
            -
             | 
| 191 | 
            -
            |Python      |    | 
| 192 | 
            -
            |Java        |    | 
| 193 | 
            -
            |JavaScript  |     | 
| 194 | 
            -
            |PHP         | | 
| 195 | 
            -
            |C           | | 
| 196 | 
            -
            |C#          | | 
| 197 | 
            -
            |C++         | | 
| 198 | 
            -
            |Go          | | 
| 199 | 
            -
            |Ruby        | | 
| 200 | 
            -
            |Rust        |     | 
| 201 | 
            -
            |TOTAL       |  | 
| 202 |  | 
| 203 | 
             
            ## Usage
         | 
| 204 | 
             
            You can load The Vault dataset using datasets library: ```pip install datasets```
         | 
|  | |
| 74 |  | 
| 75 |  | 
| 76 | 
             
            ## Dataset Summary
         | 
| 77 | 
            +
            The Vault is a multilingual code-text dataset with over 69 million pairs in inline-level covering 10 popular programming languages. It is the largest corpus containing parallel code-text data. By building upon [The Stack](https://huggingface.co/datasets/bigcode/the-stack), a massive raw code sample collection, the Vault offers a comprehensive and clean resource for advancing research in code understanding and generation. It provides a high-quality dataset that includes code-text pairs at multiple levels, such as class and inline-level, in addition to the function level. The Vault can serve many purposes at multiple levels.
         | 
| 78 |  | 
| 79 | 
             
            ## Supported Tasks
         | 
| 80 | 
             
            The Vault can be used for pretraining LLMs or downstream code-text interaction tasks. A number of tasks related to code understanding and geneartion can be constructed using The Vault such as *code summarization*, *text-to-code generation* and *code search*.
         | 
|  | |
| 186 | 
             
            ## Dataset Statistics
         | 
| 187 |  | 
| 188 |  | 
| 189 | 
            +
            |            | Number of inline comments  |
         | 
| 190 | 
            +
            |:-----------|---------------------------:|
         | 
| 191 | 
            +
            |Python      |   14,013,238               |
         | 
| 192 | 
            +
            |Java        |   17,062,277               |
         | 
| 193 | 
            +
            |JavaScript  |    1,438,110               |
         | 
| 194 | 
            +
            |PHP         |    5,873,744               |
         | 
| 195 | 
            +
            |C           |    6,778,239               |
         | 
| 196 | 
            +
            |C#          |    6,274,389               |
         | 
| 197 | 
            +
            |C++         |   10,343,650               |
         | 
| 198 | 
            +
            |Go          |    4,390,342               |
         | 
| 199 | 
            +
            |Ruby        |      767,563               |
         | 
| 200 | 
            +
            |Rust        |    2,063,784               |
         | 
| 201 | 
            +
            |TOTAL       | **69,005,336**             |
         | 
| 202 |  | 
| 203 | 
             
            ## Usage
         | 
| 204 | 
             
            You can load The Vault dataset using datasets library: ```pip install datasets```
         | 

