# Dataset Card

To access a notebook which will generate a .parquet with the HEAD from the git repository, use [this notebook](https://colab.research.google.com/drive/1n9z3znVZy4tOe-9lMvXcQXnP8f2Jeg5Q?usp=sharing)

## Features
- `function_name`: Holds the original name of the function
- `framework`: Holds the original framework where the function was implemented
- `source_code`: Holds the original source code from the Ivy codebase that implements the specific backend function for a given framework
- `docstring`: Holds the docstring from the Ivy codebase
- `annotations`: Holds the annotations for a given function from the Ivy codebase
- `instruction`: Holds the strictly-generated prompt instruction to ideally generate a given source code implementation

annotations_creators:crowdsourced language_creators:crowdsourced language:en license:unknown region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": "unknown", "pretty_name": "Ivy AI-Developer Instruction-tuning Dataset", "dataset_info": {"features": [{"name": "function_name", "dtype": "string"}, {"name": "framework", "dtype": "string"}, {"name": "source_code", "dtype": "string"}, {"name": "docstring", "dtype": "string"}, {"name": "annotations", "dtype": "string"}, {"name": "instruction", "dtype": "string"}]}}
TAGS
#annotations_creators-crowdsourced #language_creators-crowdsourced #language-English #license-unknown #region-us 

# Dataset Card

To access a notebook which will generate a .parquet with the HEAD from the git repository, use this notebook

## Features
- 'function_name': Holds the original name of the function
- 'framework': Holds the original framework where the function was implemented
- 'source_code': Holds the original source code from the Ivy codebase that implements the specific backend function for a given framework
- 'docstring': Holds the docstring from the Ivy codebase
- 'annotations': Holds the annotations for a given function from the Ivy codebase
- 'instruction': Holds the strictly-generated prompt instruction to ideally generate a given source code implementation

# Dataset Card

To access a notebook which will generate a .parquet with the HEAD from the git repository, use this notebook ## Features
- 'function_name': Holds the original name of the function
- 'framework': Holds the original framework where the function was implemented
- 'source_code': Holds the original source code from the Ivy codebase that implements the specific backend function for a given framework
- 'docstring': Holds the docstring from the Ivy codebase
- 'annotations': Holds the annotations for a given function from the Ivy codebase
- 'instruction': Holds the strictly-generated prompt instruction to ideally generate a given source code implementation
TAGS
#annotations_creators-crowdsourced #language_creators-crowdsourced #language-English #license-unknown #region-us 
 # Dataset Card

To access a notebook which will generate a .parquet with the HEAD from the git repository, use this notebook ## Features
- 'function_name': Holds the original name of the function
- 'framework': Holds the original framework where the function was implemented
- 'source_code': Holds the original source code from the Ivy codebase that implements the specific backend function for a given framework
- 'docstring': Holds the docstring from the Ivy codebase
- 'annotations': Holds the annotations for a given function from the Ivy codebase
- 'instruction': Holds the strictly-generated prompt instruction to ideally generate a given source code implementation
passage: TAGS
#annotations_creators-crowdsourced #language_creators-crowdsourced #language-English #license-unknown #region-us 
# Dataset Card

To access a notebook which will generate a .parquet with the HEAD from the git repository, use this notebook## Features
- 'function_name': Holds the original name of the function
- 'framework': Holds the original framework where the function was implemented
- 'source_code': Holds the original source code from the Ivy codebase that implements the specific backend function for a given framework
- 'docstring': Holds the docstring from the Ivy codebase
- 'annotations': Holds the annotations for a given function from the Ivy codebase
- 'instruction': Holds the strictly-generated prompt instruction to ideally generate a given source code implementation