---
language:
- es
task_categories:
- text-classification

---
# AutoTrain Dataset for project: taras_es_sentiment_analysis

## Dataset Description

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

### 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": "Varela: gran elecci\u00f3n de la izquierda en Centro de Estudiantes del ISFD 54",
    "feat_id_noticia": 15707,
    "feat_target": "la izquierda",
    "target": 2
  },
  {
    "text": "El casamiento de Alberto Cormillot y Estefan\u00eda Pasquini: cu\u00e1ndo se conocieron y en qu\u00e9 fecha ella anunci\u00f3 la boda",
    "feat_id_noticia": 18813,
    "feat_target": "Alberto",
    "target": 1
  }
]
```

### Dataset Fields

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

```json
{
  "text": "Value(dtype='string', id=None)",
  "feat_id_noticia": "Value(dtype='int16', id=None)",
  "feat_target": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['NEG', 'NEU', 'POS'], 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        | 1096 |
| valid        | 275 |