# Dataset Card for "code-search-net-php"

## Dataset Description

- **Homepage:** None
- **Repository:** https://huggingface.co/datasets/Nan-Do/code-search-net-go
- **Paper:** None
- **Leaderboard:** None
- **Point of Contact:** [@Nan-Do](https://github.com/Nan-Do) 

### Dataset Summary

This dataset is the Php portion of the CodeSarchNet annotated with a summary column.  
The code-search-net dataset includes open source functions that include comments found at GitHub.  
The summary is a short description of what the function does.  

### Languages

The dataset's comments are in English and the functions are coded in Php

### Data Splits

Train, test, validation labels are included in the dataset as a column.

## Dataset Creation

May of 2023

### Curation Rationale

This dataset can be used to generate instructional (or many other interesting) datasets that are useful to train LLMs

### Source Data

The CodeSearchNet dataset can be found at https://www.kaggle.com/datasets/omduggineni/codesearchnet

### Annotations

This datasets include a summary column including a short description of the function.

#### Annotation process

The annotation procedure was done using [Salesforce](https://huggingface.co/Salesforce) T5 summarization models.  
A sample notebook of the process can be found at https://github.com/Nan-Do/OpenAssistantInstructionResponsePython  
The annontations have been cleaned to make sure there are no repetitions and/or meaningless summaries. (some may still be present in the dataset)  

### Licensing Information

Apache 2.0
task_categories:text-generation task_categories:text2text-generation task_categories:summarization language:en license:apache-2.0 code php CodeSearchNet summary region:us
{"language": ["en"], "license": "apache-2.0", "task_categories": ["text-generation", "text2text-generation", "summarization"], "pretty_name": "Php CodeSearchNet with Summaries", "dataset_info": {"features": [{"name": "repo", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "func_name", "dtype": "string"}, {"name": "original_string", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "code", "dtype": "string"}, {"name": "code_tokens", "sequence": "string"}, {"name": "docstring", "dtype": "string"}, {"name": "docstring_tokens", "sequence": "string"}, {"name": "sha", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "partition", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1735380857, "num_examples": 577190}], "download_size": 526417871, "dataset_size": 1735380857}, "tags": ["code", "php", "CodeSearchNet", "summary"]}
TAGS
#task_categories-text-generation #task_categories-text2text-generation #task_categories-summarization #language-English #license-apache-2.0 #code #php #CodeSearchNet #summary #region-us 

# Dataset Card for "code-search-net-php"

## Dataset Description

- Homepage: None
- Repository: URL
- Paper: None
- Leaderboard: None
- Point of Contact: @Nan-Do 

### Dataset Summary

This dataset is the Php portion of the CodeSarchNet annotated with a summary column.  
The code-search-net dataset includes open source functions that include comments found at GitHub.  
The summary is a short description of what the function does.  

### Languages

The dataset's comments are in English and the functions are coded in Php

### Data Splits

Train, test, validation labels are included in the dataset as a column.

## Dataset Creation

May of 2023

### Curation Rationale

This dataset can be used to generate instructional (or many other interesting) datasets that are useful to train LLMs

### Source Data

The CodeSearchNet dataset can be found at URL

### Annotations

This datasets include a summary column including a short description of the function.

#### Annotation process

The annotation procedure was done using Salesforce T5 summarization models.  
A sample notebook of the process can be found at URL  
The annontations have been cleaned to make sure there are no repetitions and/or meaningless summaries. (some may still be present in the dataset)  

### Licensing Information

Apache 2.0
# Dataset Card for "code-search-net-php" ## Dataset Description

- Homepage: None
- Repository: URL
- Paper: None
- Leaderboard: None
- Point of Contact: @Nan-Do ### Dataset Summary

This dataset is the Php portion of the CodeSarchNet annotated with a summary column.  
The code-search-net dataset includes open source functions that include comments found at GitHub.  
The summary is a short description of what the function does. ### Languages

The dataset's comments are in English and the functions are coded in Php ### Data Splits

Train, test, validation labels are included in the dataset as a column. ## Dataset Creation

May of 2023 ### Curation Rationale

This dataset can be used to generate instructional (or many other interesting) datasets that are useful to train LLMs ### Source Data

The CodeSearchNet dataset can be found at URL ### Annotations

This datasets include a summary column including a short description of the function. #### Annotation process

The annotation procedure was done using Salesforce T5 summarization models.  
A sample notebook of the process can be found at URL  
The annontations have been cleaned to make sure there are no repetitions and/or meaningless summaries. (some may still be present in the dataset) ### Licensing Information

Apache 2.0
TAGS
#task_categories-text-generation #task_categories-text2text-generation #task_categories-summarization #language-English #license-apache-2.0 #code #php #CodeSearchNet #summary #region-us 
 # Dataset Card for "code-search-net-php" ## Dataset Description

- Homepage: None
- Repository: URL
- Paper: None
- Leaderboard: None
- Point of Contact: @Nan-Do ### Dataset Summary

This dataset is the Php portion of the CodeSarchNet annotated with a summary column.  
The code-search-net dataset includes open source functions that include comments found at GitHub.  
The summary is a short description of what the function does. ### Languages

The dataset's comments are in English and the functions are coded in Php ### Data Splits

Train, test, validation labels are included in the dataset as a column. ## Dataset Creation

May of 2023 ### Curation Rationale

This dataset can be used to generate instructional (or many other interesting) datasets that are useful to train LLMs ### Source Data

The CodeSearchNet dataset can be found at URL ### Annotations

This datasets include a summary column including a short description of the function. #### Annotation process

The annotation procedure was done using Salesforce T5 summarization models.  
A sample notebook of the process can be found at URL  
The annontations have been cleaned to make sure there are no repetitions and/or meaningless summaries. (some may still be present in the dataset) ### Licensing Information

Apache 2.0
passage: TAGS
#task_categories-text-generation #task_categories-text2text-generation #task_categories-summarization #language-English #license-apache-2.0 #code #php #CodeSearchNet #summary #region-us 
# Dataset Card for "code-search-net-php"## Dataset Description

- Homepage: None
- Repository: URL
- Paper: None
- Leaderboard: None
- Point of Contact: @Nan-Do### Dataset Summary

This dataset is the Php portion of the CodeSarchNet annotated with a summary column.  
The code-search-net dataset includes open source functions that include comments found at GitHub.  
The summary is a short description of what the function does.### Languages

The dataset's comments are in English and the functions are coded in Php### Data Splits

Train, test, validation labels are included in the dataset as a column.## Dataset Creation

May of 2023### Curation Rationale

This dataset can be used to generate instructional (or many other interesting) datasets that are useful to train LLMs### Source Data

The CodeSearchNet dataset can be found at URL### Annotations

This datasets include a summary column including a short description of the function.#### Annotation process

The annotation procedure was done using Salesforce T5 summarization models.  
A sample notebook of the process can be found at URL  
The annontations have been cleaned to make sure there are no repetitions and/or meaningless summaries. (some may still be present in the dataset)### Licensing Information

Apache 2.0