metadata
annotations_creators:
- found
language:
- en
- pt
language_creators:
- found
license:
- afl-3.0
multilinguality:
- translation
pretty_name: VanessaSchenkel/translation-en-pt
size_categories:
- 100K<n<1M
source_datasets:
- original
tags: []
task_categories:
- translation
task_ids: []
How to use it:
from datasets import load_dataset
remote_dataset = load_dataset("VanessaSchenkel/translation-en-pt", field="data")
remote_dataset
Output:
DatasetDict({
train: Dataset({
features: ['id', 'translation'],
num_rows: 260482
})
})
Exemple:
remote_dataset["train"][5]
Output:
{'id': '5',
'translation': {'english': 'I have to go to sleep.',
'portuguese': 'Tenho de dormir.'}}