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  ![thevault-logo](https://raw.githubusercontent.com/FSoft-AI4Code/TheVault/main/assets/thevault-title.png)
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  ## Dataset Summary
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- The Vault is a multilingual code-text dataset with over 40 million pairs 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 purpose at multiple levels.
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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 can be constructed using The Vault such as *code summarization*, *text-to-code generation* and *code search*.
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  - **parameters** (dict): Dictionary of parameters and its type (type can be None)
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  - **docstring_params** (dict): Dictionary of the parsed information from docstring
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- Due to the limitation of the huggingface data structure, we do not contain **parameters** and **docstring_params** field in this repo. The detail of data fields can be found in [The Vault data format](https://github.com/FSoft-AI4Code/TheVault/blob/main/data/README.md) and the full dataset version can be downloaded [here](https://github.com/FSoft-AI4Code/TheVault/)
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  ### Data Splits
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  In this repo, The Vault is divided into 5 subsets, where three training versions are split based on dataset size, and the remains are validation set and test set. The statistic for each language is illustrated in the following section.
 
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  ![thevault-logo](https://raw.githubusercontent.com/FSoft-AI4Code/TheVault/main/assets/thevault-title.png)
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  ## Dataset Summary
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+ The Vault is a multilingual code-text dataset with over 40 million pairs 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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  ## Supported Tasks
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  The Vault can be used for pretraining LLMs or downstream code-text interaction tasks. A number of tasks can be constructed using The Vault such as *code summarization*, *text-to-code generation* and *code search*.
 
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  - **parameters** (dict): Dictionary of parameters and its type (type can be None)
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  - **docstring_params** (dict): Dictionary of the parsed information from docstring
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+ Due to the limitation of the huggingface data structure, we do not contain **parameters** and **docstring_params** field in this repo. The detail of data fields can be found in [The Vault data format](https://github.com/FSoft-AI4Code/TheVault/blob/main/data/README.md) and the full dataset version can be downloaded [here](https://github.com/FSoft-AI4Code/TheVault/).
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  ### Data Splits
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  In this repo, The Vault is divided into 5 subsets, where three training versions are split based on dataset size, and the remains are validation set and test set. The statistic for each language is illustrated in the following section.