Datasets:
Update files from the datasets library (from 1.3.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.3.0
- README.md +8 -3
- brwac.py +5 -5
- dataset_infos.json +1 -1
README.md
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@@ -43,6 +43,7 @@ task_ids:
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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## Dataset Description
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```
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{
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"doc_id": "netg-1afc73",
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"
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"
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[
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"Conteúdo recente"
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],
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- `doc_id`: The document ID
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- `title`: The document title
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- `uri`: URI where the document was extracted from
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- `
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### Data Splits
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year={2018}
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}
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```
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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```
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{
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"doc_id": "netg-1afc73",
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"text": {
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"paragraphs": [
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[
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"Conteúdo recente"
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],
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- `doc_id`: The document ID
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- `title`: The document title
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- `uri`: URI where the document was extracted from
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- `text`: A list of document paragraphs (with a list of sentences in it as a list of strings)
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### Data Splits
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year={2018}
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}
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```
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### Contributions
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Thanks to [@jonatasgrosman](https://github.com/jonatasgrosman) for adding this dataset.
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brwac.py
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@@ -65,7 +65,7 @@ class Brwac(datasets.GeneratorBasedBuilder):
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"doc_id": datasets.Value("string"),
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"title": datasets.Value("string"),
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"uri": datasets.Value("string"),
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"
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}
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)
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return datasets.DatasetInfo(
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add_space = 1
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doc_id, title, uri = None, None, None
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current_sentence, current_paragraph_sentences,
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id_ = 0
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for line in f:
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current_sentence = ""
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elif line == "</p>": # end paragraph
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current_paragraph_sentences = []
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elif len(current_sentence) == 0:
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add_space = 1
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if line.strip() == "</doc>": # doc end
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yield id_, {"doc_id": doc_id, "title": title, "uri": uri, "
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id_ += 1
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add_space = 1
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doc_id, title, uri = None, None, None
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current_sentence, current_paragraph_sentences,
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"doc_id": datasets.Value("string"),
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"title": datasets.Value("string"),
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"uri": datasets.Value("string"),
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"text": datasets.Sequence({"paragraphs": datasets.Sequence(datasets.Value("string"))}),
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}
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)
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return datasets.DatasetInfo(
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add_space = 1
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doc_id, title, uri = None, None, None
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current_sentence, current_paragraph_sentences, text = "", [], []
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id_ = 0
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for line in f:
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current_sentence = ""
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elif line == "</p>": # end paragraph
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text.append({"paragraphs": current_paragraph_sentences})
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current_paragraph_sentences = []
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elif len(current_sentence) == 0:
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add_space = 1
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if line.strip() == "</doc>": # doc end
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yield id_, {"doc_id": doc_id, "title": title, "uri": uri, "text": text}
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id_ += 1
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add_space = 1
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doc_id, title, uri = None, None, None
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current_sentence, current_paragraph_sentences, text = "", [], []
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dataset_infos.json
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{"default": {"description": "\nThe BrWaC (Brazilian Portuguese Web as Corpus) is a large corpus constructed following the Wacky framework,\nwhich was made public for research purposes. The current corpus version, released in January 2017, is composed by\n3.53 million documents, 2.68 billion tokens and 5.79 million types. Please note that this resource is available\nsolely for academic research purposes, and you agreed not to use it for any commercial applications.\nManually download at https://www.inf.ufrgs.br/pln/wiki/index.php?title=BrWaC\n", "citation": "\n@inproceedings{wagner2018brwac,\n title={The brwac corpus: A new open resource for brazilian portuguese},\n author={Wagner Filho, Jorge A and Wilkens, Rodrigo and Idiart, Marco and Villavicencio, Aline},\n booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},\n year={2018}\n}\n", "homepage": "https://www.inf.ufrgs.br/pln/wiki/index.php?title=BrWaC", "license": "", "features": {"doc_id": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "uri": {"dtype": "string", "id": null, "_type": "Value"}, "
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{"default": {"description": "\nThe BrWaC (Brazilian Portuguese Web as Corpus) is a large corpus constructed following the Wacky framework,\nwhich was made public for research purposes. The current corpus version, released in January 2017, is composed by\n3.53 million documents, 2.68 billion tokens and 5.79 million types. Please note that this resource is available\nsolely for academic research purposes, and you agreed not to use it for any commercial applications.\nManually download at https://www.inf.ufrgs.br/pln/wiki/index.php?title=BrWaC\n", "citation": "\n@inproceedings{wagner2018brwac,\n title={The brwac corpus: A new open resource for brazilian portuguese},\n author={Wagner Filho, Jorge A and Wilkens, Rodrigo and Idiart, Marco and Villavicencio, Aline},\n booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},\n year={2018}\n}\n", "homepage": "https://www.inf.ufrgs.br/pln/wiki/index.php?title=BrWaC", "license": "", "features": {"doc_id": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "uri": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"feature": {"paragraphs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "brwac", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 18828421452, "num_examples": 3530796, "dataset_name": "brwac"}}, "download_checksums": {}, "download_size": 0, "post_processing_size": null, "dataset_size": 18828421452, "size_in_bytes": 18828421452}}
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