task_categories:translation region:us
---
task_categories:
- translation

---
# AutoTrain Dataset for project: aymara-t5-small

## Dataset Description

This dataset has been automatically processed by AutoTrain for project aymara-t5-small.

### 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
[
  {
    "feat_Lang": "Spanish",
    "feat_langcode": "es",
    "feat_Source": "Janiw sartasipk\u00e4ti aka mayiw phuqasi\u00f1apkama, presidentex nanakamp tantachaspan ukhamarak tama irnaqir jaqinakar tantachpan, kunawsas ukat kunjamraks munat wila masinakasar qallantani thaxta\u00f1xa sasaw \u201d huelga lurir Margarita L\u00f3pez mamax arsuwayat\u00e4na.",
    "target": "\u201cNo nos iremos hasta que nuestros casos se hayan resuelto, que el presidente se re\u00fana con nosotros y que re\u00fana a un grupo de tragbajo para decirnos cu\u00e1ndo y c\u00f3mo empezar\u00e1n a encontrar a nuestros seres queridos \u201d, declar\u00f3 la huelguista de hambre Margarita L\u00f3pez.",
    "source": "translate Aymara to Spanish: Erwin C blog Latino Americano uka tuqinkiriw m\u00e4 huelga lurir mamaru jawsayawayi:"
  },
  {
    "feat_Lang": "English",
    "feat_langcode": "en",
    "feat_Source": "Credit: Heidi Shin.",
    "target": "Cr\u00e9dito: Heidi Shun.",
    "source": "translate English to Aymara: Credit: Heidi Shin."
  }
]
```

### Dataset Fields

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

```json
{
  "feat_Lang": "Value(dtype='string', id=None)",
  "feat_langcode": "Value(dtype='string', id=None)",
  "feat_Source": "Value(dtype='string', id=None)",
  "target": "Value(dtype='string', id=None)",
  "source": "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        | 28121 |
| valid        | 7031 |
