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Data · dataset · 2022

VanessaSchenkel/opus_books_en_pt

Listed in Hugging Face Datasets

Description

How to use it: from datasets import load_dataset remote_dataset = load_dataset("VanessaSchenkel/opus_books_en_pt", field="data") remote_dataset Output: DatasetDict({ train: Dataset({ features: ['id', 'translation'], num_rows: 1404 }) }) Exemple: remote_dataset["train"][5] Output: {'id': '5', 'translation': {'en': "There was nothing so very remarkable in that; nor did Alice think it so very much out of the way to hear the Rabbit say to itself, 'Oh dear!", 'pt':… See the full description on the dataset page: huggingface.co/datasets/VanessaSchenkel/opus_books_en_pt.

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Catalogue records · 1

Topics

Stated by source
translation
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsVanessaSchenkel/opus_books_en_pt14 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:translationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0