| task_categories: | |
| - conditional-text-generation | |
| # AutoNLP Dataset for project: Code_generation | |
| ## Table of content | |
| - [Dataset Description](#dataset-description) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| ## Dataset Descritpion | |
| This dataset has been automatically processed by AutoNLP for project Code_generation. | |
| ### Languages | |
| The BCP-47 code for the dataset's language is unk. | |
| ## Dataset Structure | |
| ### Data Instances | |
| A sample from this dataset looks as follows: | |
| ```json | |
| [ | |
| { | |
| "text": "convert a list to a dictionary in python", | |
| "target": "b = dict(zip(a[0::2], a[1::2]))" | |
| }, | |
| { | |
| "text": "python - sort a list of nested lists", | |
| "target": "l.sort(key=sum_nested)" | |
| } | |
| ] | |
| ``` | |
| ### Dataset Fields | |
| The dataset has the following fields (also called "features"): | |
| ```json | |
| { | |
| "text": "Value(dtype='string', id=None)", | |
| "target": "Value(dtype='string', id=None)" | |
| } | |
| ``` | |
| ### Dataset Splits | |
| This dataset is split into a train and validation split. The split sizes are as follow: | |
| | Split name | Num samples | | |
| | ------------ | ------------------- | | |
| | train | 11125 | | |
| | valid | 1237 | | |