# AutoNLP Dataset for project: pruebapoems

## Dataset Descritpion

This dataset has been automatically processed by AutoNLP for project pruebapoems.

### Languages

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

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
  {
    "text": "When I was fair and young, then favor graced me.\r\nOf many was I sought their mistress for to be.\r\nBu[...]",
    "target": 1
  },
  {
    "text": "Sigh no more, ladies, sigh no more.\r\n    Men were deceivers ever,\r\nOne foot in sea, and one on shore[...]",
    "target": 0
  }
]
```

### Dataset Fields

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

```json
{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(num_classes=3, names=['Love', 'Mythology & Folklore', 'Nature'], 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        | 457 |
| valid        | 116 |

task_categories:text-classification language:es region:us
{"language": ["es"], "task_categories": ["text-classification"]}
TAGS
#task_categories-text-classification #language-Spanish #region-us 

AutoNLP Dataset for project: pruebapoems
========================================


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


This dataset has been automatically processed by AutoNLP for project pruebapoems.


### Languages


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


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 es.


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
#task_categories-text-classification #language-Spanish #region-us 
 ### Languages


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


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:
passage: TAGS
#task_categories-text-classification #language-Spanish #region-us 
### Languages


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


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: