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README.md
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---
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license: mit
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---
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| 1 |
---
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| 2 |
+
language:
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- code
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- 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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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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---
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Statistics](#dataset-statistics)
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- [Usage](#usage)
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- [Additional Information](#additional-information)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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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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<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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<div align="center">
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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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## 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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## 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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## Languages
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The natural language text (docstring) is in English.
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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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## Dataset Structure
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### Data Instances
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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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"bbFunction",
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"==",
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"1",
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")",
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"{",
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"return",
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"beepBoop",
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"(",
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"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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"bbFunction",
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"==",
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"2",
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")",
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"{",
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"return",
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"beepBoop2",
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"(",
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"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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"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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"beepBoop3",
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"(",
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"inputString",
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")",
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";",
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"}",
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"else",
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"{",
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"}",
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"}"
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],
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}
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```
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### Data Fields
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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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- **license** (list): licenses in the repo
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- **language** (string): the programming language
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- **identifier** (string): the function or method name
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- **code** (string): the part of the original that is code
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- **code_tokens** (list): tokenized version of `code`
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### Data Splits
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In this repo, the inline level data is not split, and contain in only train set.
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## Dataset Statistics
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| | train/small | train/medium | train/full | validation | test | total |
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|:-----------|------------:|-------------:|-----------:|-----------:|-------:|--------------:|
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|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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|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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## 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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# 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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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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### Citation Information
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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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### Contributions
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This dataset is developed by [FSOFT AI4Code team](https://github.com/FSoft-AI4Code).
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