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---
language:
- en
- es
task_categories:
- translation
---
# AutoTrain Dataset for project: my-train
## Dataset Description
This dataset has been automatically processed by AutoTrain for project my-train.
### Languages
The BCP-47 code for the dataset's language is en2es.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
"feat_eng": "eng",
"feat_spa": "spa",
"source": "Can you remember the first time you heard the Beatles?",
"target": "\u00bfRecuerdas la primera vez que escuchaste a los Beatles?",
"feat_Unnamed: 4": null,
"feat_Unnamed: 5": null,
"feat_Unnamed: 6": null,
"feat_Unnamed: 7": null,
"feat_Unnamed: 8": null,
"feat_Unnamed: 9": null,
"feat_Unnamed: 10": null,
"feat_Unnamed: 11": null,
"feat_Unnamed: 12": null,
"feat_Unnamed: 13": null,
"feat_Unnamed: 14": null,
"feat_Unnamed: 15": null,
"feat_Unnamed: 16": null,
"feat_Unnamed: 17": null
},
{
"feat_eng": "eng",
"feat_spa": "spa",
"source": "He is always talking big.",
"target": "\u00c9l siempre est\u00e1 alardeando.",
"feat_Unnamed: 4": null,
"feat_Unnamed: 5": null,
"feat_Unnamed: 6": null,
"feat_Unnamed: 7": null,
"feat_Unnamed: 8": null,
"feat_Unnamed: 9": null,
"feat_Unnamed: 10": null,
"feat_Unnamed: 11": null,
"feat_Unnamed: 12": null,
"feat_Unnamed: 13": null,
"feat_Unnamed: 14": null,
"feat_Unnamed: 15": null,
"feat_Unnamed: 16": null,
"feat_Unnamed: 17": null
}
]
```
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"feat_eng": "Value(dtype='string', id=None)",
"feat_spa": "Value(dtype='string', id=None)",
"source": "Value(dtype='string', id=None)",
"target": "Value(dtype='string', id=None)",
"feat_Unnamed: 4": "Value(dtype='string', id=None)",
"feat_Unnamed: 5": "Value(dtype='string', id=None)",
"feat_Unnamed: 6": "Value(dtype='string', id=None)",
"feat_Unnamed: 7": "Value(dtype='string', id=None)",
"feat_Unnamed: 8": "Value(dtype='string', id=None)",
"feat_Unnamed: 9": "Value(dtype='string', id=None)",
"feat_Unnamed: 10": "Value(dtype='string', id=None)",
"feat_Unnamed: 11": "Value(dtype='string', id=None)",
"feat_Unnamed: 12": "Value(dtype='string', id=None)",
"feat_Unnamed: 13": "Value(dtype='string', id=None)",
"feat_Unnamed: 14": "Value(dtype='string', id=None)",
"feat_Unnamed: 15": "Value(dtype='string', id=None)",
"feat_Unnamed: 16": "Value(dtype='string', id=None)",
"feat_Unnamed: 17": "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 | 2028 |
| valid | 507 |
|