# AutoTrain Dataset for project: code_summarization

## Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project code_summarization.

### Languages

The BCP-47 code for the dataset's language is en.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
  {
    "text": "def read(self, table, columns, keyset, index=\"\", limit=0, partition=None):\n        \"\"\"Perform a ``St[...]",
    "target": "Perform a ``StreamingRead`` API request for rows in a table.\n\n        :type table: str\n        :para[...]"
  },
  {
    "text": "def maf_somatic_variant_stats(variant, variant_metadata):\n    \"\"\"\n    Parse out the variant calling [...]",
    "target": "Parse out the variant calling statistics for a given variant from a MAF file\n\n    Assumes the MAF fo[...]"
  }
]
```

### 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        | 800 |
| valid        | 200 |

language:en region:us
{"language": ["en"], "task_categories": ["conditional-text-generation"]}
TAGS
#language-English #region-us 

AutoTrain Dataset for project: code\_summarization
==================================================


Dataset Descritpion
-------------------


This dataset has been automatically processed by AutoTrain for project code\_summarization.


### Languages


The BCP-47 code for the dataset's language is en.


Dataset Structure
-----------------


### Data Instances


A sample from this dataset looks as follows:


### Dataset Fields


The dataset has the following fields (also called "features"):


### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:




### Languages


The BCP-47 code for the dataset's language is en.


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


The dataset has the following fields (also called "features"): ### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:
TAGS
#language-English #region-us 
 ### Languages


The BCP-47 code for the dataset's language is en.


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


The dataset has the following fields (also called "features"): ### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow: