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            license: mit
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| 1 | 
             
            ---
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| 2 | 
            +
            language:
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            +
            - code
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| 4 | 
            +
            - en
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            +
            multilinguality:
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            - multiprogramming languages
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            task_categories:
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            - text-generation
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            license: mit
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            dataset_info:
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              features:
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            +
              - name: identifier
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            +
                dtype: string
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              - name: return_type
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            +
                dtype: string
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            +
              - name: repo
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            +
                dtype: string
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              - name: path
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                dtype: string
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            +
              - name: language
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                dtype: string
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              - name: code
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                dtype: string
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              - name: code_tokens
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| 25 | 
            +
                dtype: string
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              - name: original_docstring
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                dtype: string
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              - name: comment
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                dtype: string
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              - name: docstring_tokens
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                dtype: string
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              - name: docstring
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                dtype: string
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              - name: original_string
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                dtype: string
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            pretty_name: The Vault Function
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            viewer: false
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| 38 | 
             
            ---
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            +
             | 
| 40 | 
            +
             | 
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            +
             | 
| 42 | 
            +
            ## Table of Contents
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| 43 | 
            +
            - [Dataset Description](#dataset-description)
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| 44 | 
            +
            - [Dataset Summary](#dataset-summary)
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| 45 | 
            +
            - [Supported Tasks](#supported-tasks)
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| 46 | 
            +
            - [Languages](#languages)
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| 47 | 
            +
            - [Dataset Structure](#dataset-structure)
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            +
              - [Data Instances](#data-instances)
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| 49 | 
            +
              - [Data Fields](#data-fields)
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| 50 | 
            +
              - [Data Splits](#data-splits)
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| 51 | 
            +
            - [Dataset Statistics](#dataset-statistics)
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| 52 | 
            +
            - [Usage](#usage)
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| 53 | 
            +
            - [Additional Information](#additional-information)
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| 54 | 
            +
              - [Licensing Information](#licensing-information)
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| 55 | 
            +
              - [Citation Information](#citation-information)
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| 56 | 
            +
              - [Contributions](#contributions)
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| 57 | 
            +
             | 
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            +
             | 
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            ## Dataset Description
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            +
             | 
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            - **Repository:** [FSoft-AI4Code/TheVault](https://github.com/FSoft-AI4Code/TheVault)
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            - **Paper:** [The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation](https://arxiv.org/abs/2305.06156)
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            - **Contact:** [email protected]
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            - **Website:** https://www.fpt-aicenter.com/ai-residency/
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             | 
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            <p align="center">
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            +
              <img src="https://raw.githubusercontent.com/FSoft-AI4Code/TheVault/main/assets/the-vault-4-logo-png.png" width="300px" alt="logo">
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            </p>
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             | 
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            <div align="center">
         | 
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            +
              
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            # The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation
         | 
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            +
            </div>
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| 74 | 
            +
             | 
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            +
             | 
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            ## Dataset Summary
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            +
            The Vault is a multilingual code-text dataset with over 34 million pairs ìn function-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.
         | 
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             | 
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            ## Supported Tasks
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            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*.
         | 
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            +
             | 
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            ## Languages
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            The natural language text (docstring) is in English.
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            +
             | 
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            10 programming languages are supported in The Vault: `Python`, `Java`, `JavaScript`, `PHP`, `C`, `C#`, `C++`, `Go`, `Ruby`, `Rust`
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             | 
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            ## Dataset Structure
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            ### Data Instances
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            +
            ```
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            +
            {
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            +
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            +
                "hexsha": "5c47f0b4c173a8fd03e4e633d9b3dd8211e67ad0",
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                "repo": "neumanna94/beepboop",
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                "path": "js/scripts.js",
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                "license": [
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                    "MIT"
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                ],
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                "language": "JavaScript",
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                "identifier": "beepBoopSelector",
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                "code": "function beepBoopSelector(inputString, bbFunction){\n  if(bbFunction==1){\n    return beepBoop(inputString);\n  } else if(bbFunction==2){\n    return beepBoop2(inputString);\n  } else if(bbFunction==3){\n    return beepBoop3(inputString);\n  } else {\n  }\n}",
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                "code_tokens": [
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            +
                    "function",
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                    "beepBoopSelector",
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            +
                    "(",
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            +
                    "inputString",
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            +
                    ",",
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                    "bbFunction",
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            +
                    ")",
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            +
                    "{",
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            +
                    "if",
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            +
                    "(",
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| 112 | 
            +
                    "bbFunction",
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            +
                    "==",
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            +
                    "1",
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            +
                    ")",
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            +
                    "{",
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| 117 | 
            +
                    "return",
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            +
                    "beepBoop",
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            +
                    "(",
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| 120 | 
            +
                    "inputString",
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            +
                    ")",
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            +
                    ";",
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            +
                    "}",
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            +
                    "else",
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            +
                    "if",
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            +
                    "(",
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| 127 | 
            +
                    "bbFunction",
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| 128 | 
            +
                    "==",
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            +
                    "2",
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            +
                    ")",
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| 131 | 
            +
                    "{",
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| 132 | 
            +
                    "return",
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| 133 | 
            +
                    "beepBoop2",
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| 134 | 
            +
                    "(",
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| 135 | 
            +
                    "inputString",
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| 136 | 
            +
                    ")",
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| 137 | 
            +
                    ";",
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            +
                    "}",
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            +
                    "else",
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            +
                    "if",
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            +
                    "(",
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            +
                    "bbFunction",
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            +
                    "==",
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            +
                    "3",
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            +
                    ")",
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            +
                    "{",
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            +
                    "return",
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| 148 | 
            +
                    "beepBoop3",
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| 149 | 
            +
                    "(",
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| 150 | 
            +
                    "inputString",
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            +
                    ")",
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| 152 | 
            +
                    ";",
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| 153 | 
            +
                    "}",
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| 154 | 
            +
                    "else",
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| 155 | 
            +
                    "{",
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            +
                    "}",
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| 157 | 
            +
                    "}"
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| 158 | 
            +
                ],
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            +
            }
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            +
             | 
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            +
            ```
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            ### Data Fields
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            +
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            Data fields for function level:
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            +
            - **hexsha** (string): the unique git hash of file
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            +
            - **repo** (string): the owner/repo
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            +
            - **path** (string): the full path to the original file
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| 168 | 
            +
            - **license** (list): licenses in the repo
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| 169 | 
            +
            - **language** (string): the programming language
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| 170 | 
            +
            - **identifier** (string): the function or method name
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| 171 | 
            +
            - **code** (string): the part of the original that is code
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| 172 | 
            +
            - **code_tokens** (list): tokenized version of `code`
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| 173 | 
            +
             | 
| 174 | 
            +
             | 
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            +
            ### Data Splits
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            +
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            +
            In this repo, the inline level data is not split, and contain in only train set.
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            +
             | 
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            ## Dataset Statistics
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            +
             | 
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            +
             | 
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            +
            |            | train/small | train/medium | train/full | validation | test   | total         |
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            +
            |:-----------|------------:|-------------:|-----------:|-----------:|-------:|--------------:|
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| 184 | 
            +
            |Python      |   370,657   |  1,952,110   | 7,772,647  | 30,992     | 21,652 | 7,825,291     |
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            +
            |Java        |   351,213   |  1,612,366   | 6,629,193  | 22,677     | 15,552 | 6,667,422     |
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            +
            |JavaScript  |    82,931   |    404,729   | 1,640,416  | 22,044     | 21,108 | 1,683,568     |
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            +
            |PHP         |   236,638   |  1,155,476   | 4,656,371  | 21,375     | 19,010 | 4,696,756     |
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            +
            |C           |   105,978   |    381,207   | 1,639,319  | 27,525     | 19,122 | 1,685,966     |
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            +
            |C#          |   141,090   |    783,166   | 3,305,891  | 24,787     | 19,638 | 3,350,316     |
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            +
            |C++         |    87,420   |    410,907   | 1,671,268  | 20,011     | 18,169 | 1,709,448     |
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            +
            |Go          |   267,535   |  1,319,547   | 5,109,020  | 19,102     | 25,314 | 5,153,436     |
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            +
            |Ruby        |    23,921   |    112,574   |   424,339  | 17,338     | 19,908 |   461,585     |
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| 193 | 
            +
            |Rust        |    35,367   |    224,015   |   825,130  | 16,716     | 23,141 |   864,987     |
         | 
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            +
            |TOTAL       | 1,702,750   |  8,356,097   |33,673,594  |222,567     |202,614 |**34,098,775** |
         | 
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             | 
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            ## Usage
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            You can load The Vault dataset using datasets library: ```pip install datasets```
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            ```python
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            from datasets import load_dataset
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            # Load full function level dataset (40M samples)
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            dataset = load_dataset("Fsoft-AIC/the-vault-inline")
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            # specific language (e.g. Python) 
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            dataset = load_dataset("Fsoft-AIC/the-vault-inline", languages=['Python'])
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            +
             | 
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            # dataset streaming
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            data = load_dataset("Fsoft-AIC/the-vault-inline", streaming= True)
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            for sample in iter(data['train']): 
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                print(sample)
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            ```
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            +
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            A back up dataset can be downloaded in azure storage. See [Download The Vault from Azure blob storage](https://github.com/FSoft-AI4Code/TheVault#download-via-link).
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            ## Additional information
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            ### Licensing Information
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            +
            MIT License
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            +
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            +
            ### Citation Information
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            +
             | 
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            +
            ```
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            +
            @article{manh2023vault,
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              title={The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation},
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            +
              author={Manh, Dung Nguyen and Hai, Nam Le and Dau, Anh TV and Nguyen, Anh Minh and Nghiem, Khanh and Guo, Jin and Bui, Nghi DQ},
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              journal={arXiv preprint arXiv:2305.06156},
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              year={2023}
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            }
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            ```
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             | 
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            ### Contributions
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            +
            This dataset is developed by [FSOFT AI4Code team](https://github.com/FSoft-AI4Code).
         | 

