# Dataset Card for "instructional_code-search-net-python"

## Dataset Description

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

### Dataset Summary

This is an instructional dataset for Python.
The dataset contains two different kind of tasks:
 - Given a piece of code generate a description of what it does.
 - Given a description generate a piece of code that fulfils the description.

### Languages

The dataset is in English.

### Data Splits

There are no splits.

## Dataset Creation

May of 2023

### Curation Rationale

This dataset was created to improve the coding capabilities of LLMs. 

### Source Data

The summarized version of the code-search-net dataset can be found at https://huggingface.co/datasets/Nan-Do/code-search-net-python

### Annotations

The dataset includes an instruction and response columns.

#### Annotation process

The annotation procedure was done using templates and NLP techniques to generate human-like instructions and responses.
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.

### Licensing Information

Apache 2.0
task_categories:conversational task_categories:text-generation task_categories:text2text-generation language:en license:apache-2.0 Python Code generation Instruction Response region:us
{"language": ["en"], "license": "apache-2.0", "task_categories": ["conversational", "text-generation", "text2text-generation"], "pretty_name": "Instructional Python Dataset", "dataset_info": {"features": [{"name": "INSTRUCTION", "dtype": "string"}, {"name": "RESPONSE", "dtype": "string"}, {"name": "SOURCE", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 451473573, "num_examples": 418545}], "download_size": 172777462, "dataset_size": 451473573}, "tags": ["Python", "Code generation", "Instruction Response"]}
TAGS
#task_categories-conversational #task_categories-text-generation #task_categories-text2text-generation #language-English #license-apache-2.0 #Python #Code generation #Instruction Response #region-us 

# Dataset Card for "instructional_code-search-net-python"

## Dataset Description

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

### Dataset Summary

This is an instructional dataset for Python.
The dataset contains two different kind of tasks:
 - Given a piece of code generate a description of what it does.
 - Given a description generate a piece of code that fulfils the description.

### Languages

The dataset is in English.

### Data Splits

There are no splits.

## Dataset Creation

May of 2023

### Curation Rationale

This dataset was created to improve the coding capabilities of LLMs. 

### Source Data

The summarized version of the code-search-net dataset can be found at URL

### Annotations

The dataset includes an instruction and response columns.

#### Annotation process

The annotation procedure was done using templates and NLP techniques to generate human-like instructions and responses.
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.

### Licensing Information

Apache 2.0
# Dataset Card for "instructional_code-search-net-python" ## Dataset Description

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

This is an instructional dataset for Python.
The dataset contains two different kind of tasks:
 - Given a piece of code generate a description of what it does.
 - Given a description generate a piece of code that fulfils the description. ### Languages

The dataset is in English. ### Data Splits

There are no splits. ## Dataset Creation

May of 2023 ### Curation Rationale

This dataset was created to improve the coding capabilities of LLMs. ### Source Data

The summarized version of the code-search-net dataset can be found at URL ### Annotations

The dataset includes an instruction and response columns. #### Annotation process

The annotation procedure was done using templates and NLP techniques to generate human-like instructions and responses.
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. ### Licensing Information

Apache 2.0
TAGS
#task_categories-conversational #task_categories-text-generation #task_categories-text2text-generation #language-English #license-apache-2.0 #Python #Code generation #Instruction Response #region-us 
 # Dataset Card for "instructional_code-search-net-python" ## Dataset Description

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

This is an instructional dataset for Python.
The dataset contains two different kind of tasks:
 - Given a piece of code generate a description of what it does.
 - Given a description generate a piece of code that fulfils the description. ### Languages

The dataset is in English. ### Data Splits

There are no splits. ## Dataset Creation

May of 2023 ### Curation Rationale

This dataset was created to improve the coding capabilities of LLMs. ### Source Data

The summarized version of the code-search-net dataset can be found at URL ### Annotations

The dataset includes an instruction and response columns. #### Annotation process

The annotation procedure was done using templates and NLP techniques to generate human-like instructions and responses.
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. ### Licensing Information

Apache 2.0