
# Dataset description
This dataset consists of sequences of Python code followed by a a docstring explaining its function. It was constructed by concatenating code and text pairs 
from this [dataset](https://huggingface.co/datasets/codeparrot/github-jupyter-text-code-pairs) that were originally code and markdown cells in Jupyter Notebooks.

The content of each example the following:
````
[CODE]
"""
Explanation: [TEXT]
End of explanation
"""
[CODE]
"""
Explanation: [TEXT]
End of explanation
"""
...
````
# How to use it
```python
from datasets import load_dataset

ds = load_dataset("codeparrot/github-jupyter-code-to-text", split="train")
````
````
Dataset({
    features: ['repo_name', 'path', 'license', 'content'],
    num_rows: 47452
})
````
task_categories:text-generation size_categories:10K<n<100K language:en license:apache-2.0 code region:us
{"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "tags": ["code"]}
TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #code #region-us 


# Dataset description
This dataset consists of sequences of Python code followed by a a docstring explaining its function. It was constructed by concatenating code and text pairs 
from this dataset that were originally code and markdown cells in Jupyter Notebooks.

The content of each example the following:
'
# How to use it
'
'
# Dataset description
This dataset consists of sequences of Python code followed by a a docstring explaining its function. It was constructed by concatenating code and text pairs 
from this dataset that were originally code and markdown cells in Jupyter Notebooks.

The content of each example the following:
' # How to use it
'
'
TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #code #region-us 
 # Dataset description
This dataset consists of sequences of Python code followed by a a docstring explaining its function. It was constructed by concatenating code and text pairs 
from this dataset that were originally code and markdown cells in Jupyter Notebooks.

The content of each example the following:
' # How to use it
'
'
passage: TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #code #region-us 
# Dataset description
This dataset consists of sequences of Python code followed by a a docstring explaining its function. It was constructed by concatenating code and text pairs 
from this dataset that were originally code and markdown cells in Jupyter Notebooks.

The content of each example the following:
'# How to use it
'
'