Create README.md

README.md

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+---
+language:
+- code
+- en
+multilinguality:
+- multiprogramming languages
+task_categories:
+- text-generation
+dataset_info:
+  features:
+  - name: identifier
+    dtype: string
+  - name: return_type
+    dtype: string
+  - name: repo
+    dtype: string
+  - name: path
+    dtype: string
+  - name: language
+    dtype: string
+  - name: code
+    dtype: string
+  - name: code_tokens
+    dtype: string
+  - name: original_docstring
+    dtype: string
+  - name: comment
+    dtype: string
+  - name: docstring_tokens
+    dtype: string
+  - name: docstring
+    dtype: string
+  - name: original_string
+    dtype: string
+  splits:
+  - name: python
+    num_bytes: 30797754227
+    num_examples: 9893858
+  - name: java
+    num_bytes: 23130202517
+    num_examples: 7886299
+  - name: javascript
+    num_bytes: 6833869001
+    num_examples: 2562158
+  - name: php
+    num_bytes: 13072500520
+    num_examples: 5455989
+  - name: c_sharp
+    num_bytes: 11144245789
+    num_examples: 4011467
+  - name: c
+    num_bytes: 6205820571
+    num_examples: 1978551
+  - name: cpp
+    num_bytes: 6228306797
+    num_examples: 1934958
+  - name: go
+    num_bytes: 11339059495
+    num_examples: 5649158
+  - name: rust
+    num_bytes: 2661037428
+    num_examples: 1076588
+  - name: ruby
+    num_bytes: 1224195690
+    num_examples: 544867
+  download_size: 26404353470
+  dataset_size: 112636992035
+pretty_name: The Vault
+viewer: true
+---
+
+
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+- [Dataset Summary](#dataset-summary)
+- [Supported Tasks](#supported-tasks)
+- [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Statistics](#dataset-statistics)
+- [Usage](#usage)
+- [Additional Information](#additional-information)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+
+## Dataset Description
+
+- **Repository:** [FSoft-AI4Code/TheVault](https://github.com/FSoft-AI4Code/TheVault)
+- **Paper:** The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation
+- **Contact:** support.ailab@fpt.com
+- **Website:** https://www.fpt-aicenter.com/ai-residency/
+
+
+![thevault-logo](https://raw.githubusercontent.com/FSoft-AI4Code/TheVault/main/assets/thevault-title.png)
+
+## Dataset Summary
+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 also addresses these issues by providing a large, 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.
+
+## Supported Tasks
+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*.
+
+## Languages
+The natural language text (docstring) is in English.
+
+10 programming languages are supported in The Vault: `Python`, `Java`, `JavaScript`, `PHP`, `C`, `C#`, `C++`, `Go`, `Ruby`, `Rust`
+
+## Dataset Structure
+### Data Instances
+*a. Function-level and Class-level*
+```
+{
+  "identifier": "REDUCE",
+  "return_type": "<not_specify>"
+  "repo": "irshadbhat/sndpcs",
+  "path": "arc_eager.py",
+  "language": "Python",
+  "code": "def REDUCE(self, configuration, label=None):\n        b0 = configuration.b0\n        configuration.stack.pop()",
+  "code_tokens": "def REDUCE ( self , configuration , label = None ) : b0 = configuration . b0 configuration . stack . pop ( )",
+  "original_docstring": "\n        pops the top of the stack if it has got its head.\n        ",
+  "comment": "\"\"\"\n        pops the top of the stack if it has got its head.\n        \"\"\"",
+  "docstring_tokens": "pops the top of the stack if it has got its head .",
+  "docstring": "pops the top of the stack if it has got its head."
+}
+```
+### Data Fields
+
+Data fields for function level:
+
+- **repo** (string): the owner/repo
+- **path** (string): the full path to the original file
+- **language** (string): the programming language
+- **identifier** (string): the function or method name
+- **return_type** (string): the type returned by the function
+- **original_string** (string): original version of function/class node
+- **original_docstring** (string): the raw string before tokenization or parsing
+- **code** (string): the part of the original that is code
+- **code_tokens** (string): tokenized version of `code`, separated by whitespace
+- **short_docstring** (string): short, brief summarization (first line of the docstring)
+- **short_docstring_tokens** (string): tokenized version of `short_docstring`, separated by whitespace
+- **docstring** (string): the top-level comment or docstring (docstring version without param’s doc, return, exception, etc)
+- **docstring_tokens** tokenized version of docstring, separated by whitespace
+- **comment** (string): comment (line) inside the function/class, separated by `$SEP$` token
+- **parameters** (dict):  Dictionary of parameters and its type (type can be None)
+- **docstring_params** (dict): Dictionary of the parsed information from docstring
+
+Due to the limiration 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 at [here](https://github.com/FSoft-AI4Code/TheVault/)
+### Data Splits
+
+In this repo, The Vault is divided into 10 subsets based on the supported programming languages. The statistic for each language is illustrated in the following section.
+
+## Dataset Statistics
+
+- Compare to other benchmarks
+
+| Dataset                   | #Language | #Code-text pair |
+|:--------------------------|----------:|-----------------:|
+| PyMT5                     | 1         | ≈ 7,700,000      |
+| CoDesc                    | 1         | 4,211,516        |
+| CodeSearchNet             | 6         | 2,326,976        |
+| CodeSearchNet (CodeXGLUE) | 6         | 1,005,474        |
+| Deepcom                   | 1         | 424,028          |
+| CONCODE                   | 1         | 2,184,310        |
+| Funcom                    | 1         | 2,149,121        |
+| CodeT5                    | 8         | 3,158,313        |
+| **The Vault**             | **10**    | **40,993,893**   |
+
+- Statistic for each language in The Vault
+
+| Language   | #Code-text pair | #Repository |
+|:-----------|-----------------:|------------:|
+| Python     | 9,893,858        | 628,069     |
+| PHP        | 5,455,989        | 439,514     |
+| JavaScript | 2,562,158        | 355,761     |
+| Java       | 7,886,299        | 321,129     |
+| C#         | 4,011,467        | 150,657     |
+| C++        | 1,934,958        | 116,897     |
+| C          | 1,978,551        | 88,556      |
+| Go         | 5,649,158        | 241,238     |
+| Rust       | 1,076,588        | 68,615      |
+| Ruby       | 544,867          | 61,804      |
+
+## Usage
+You can load The Vault dataset using datasets library: ```pip install datasets```
+
+```python
+from datasets import load_dataset
+
+# Load full function level dataset (40M samples)
+ds = load_dataset("Fsoft-AIC/the-vault-function")
+
+# Load function level train/validation/test set
+ds = load_dataset("Fsoft-AIC/the-vault-function", split_set=["train"])
+
+# Load "small" (or "medium", "large") function level training set
+ds = load_dataset("Fsoft-AIC/the-vault-function", split_set=["train/small"])
+
+# specific language (e.g. Golang) 
+ds = load_dataset("Fsoft-AIC/the-vault-function", split_set=["train"], languages=['Go'])
+```
+
+## Additional information
+### Licensing Information
+### Citation Information
+
+```
+@misc{manh2023vault,
+    title={The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation}, 
+    author={Dung Nguyen Manh and Nam Le Hai and Anh T. V. Dau and Anh Minh Nguyen and Khanh Nghiem and Jin Guo and Nghi D. Q. Bui},
+    year={2023},
+}
+```
+
+### Contributions