Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+annotations_creators:
+- no-annotation
+language_creators:
+- found
+languages:
+- pt
+licenses:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- n>1M
+source_datasets:
+- original
+task_categories:
+- sequence-modeling
+task_ids:
+- language-modeling
+---
+
+# Dataset Card for BrWaC
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** [BrWaC homepage](https://www.inf.ufrgs.br/pln/wiki/index.php?title=BrWaC)
+- **Repository:** [BrWaC repository](https://www.inf.ufrgs.br/pln/wiki/index.php?title=BrWaC)
+- **Paper:** [The brWaC Corpus: A New Open Resource for Brazilian Portuguese](https://www.aclweb.org/anthology/L18-1686/)
+- **Point of Contact:** [Jorge A. Wagner Filho](mailto:[email protected])
+
+### Dataset Summary
+
+The BrWaC (Brazilian Portuguese Web as Corpus) is a large corpus constructed following the Wacky framework, 
+which was made public for research purposes. The current corpus version, released in January 2017, is composed by 
+3.53 million documents, 2.68 billion tokens and 5.79 million types. Please note that this resource is available 
+solely for academic research purposes, and you agreed not to use it for any commercial applications.
+Manually download at https://www.inf.ufrgs.br/pln/wiki/index.php?title=BrWaC
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+Portuguese
+
+## Dataset Structure
+
+### Data Instances
+
+An example from the BrWaC dataset looks as follows:
+
+```
+{
+  "doc_id": "netg-1afc73",
+  "paragraphs": {
+    "sentences": [
+      [
+        "Conteúdo recente"
+      ],
+      [
+        "ESPUMA MARROM CHAMADA \"NINGUÉM MERECE\""
+      ],
+      [
+        "31 de Agosto de 2015, 7:07 , por paulo soavinski - | No one following this article yet."
+      ],
+      [
+        "Visualizado 202 vezes"
+      ],
+      [
+        "JORNAL ELETRÔNICO DA ILHA DO MEL"
+      ],
+      [
+        "Uma espuma marrom escuro tem aparecido com frequência na Praia de Fora.",
+        "Na faixa de areia ela aparece disseminada e não chama muito a atenção.",
+        "No Buraco do Aipo, com muitas pedras, ela aparece concentrada.",
+        "É fácil saber que esta espuma estranha está lá, quando venta.",
+        "Pequenos algodões de espuma começam a flutuar no espaço, pertinho da Praia do Saquinho.",
+        "Quem pode ajudar na coleta deste material, envio a laboratório renomado e pagamento de análises, favor entrar em contato com o site."
+      ]
+    ]
+  },
+  "title": "ESPUMA MARROM CHAMADA ‟NINGUÉM MERECE‟ - paulo soavinski",
+  "uri": "http://blogoosfero.cc/ilhadomel/pousadasilhadomel.com.br/espuma-marrom-chamada-ninguem-merece"
+}
+```
+
+### Data Fields
+
+- `doc_id`: The document ID
+- `title`: The document title
+- `uri`: URI where the document was extracted from
+- `paragraphs`: A list of document paragraphs (with a list of sentences in it as a list of strings)
+
+### Data Splits
+
+The data is only split into train set with size of 3530796 samples.
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+```
+@inproceedings{wagner2018brwac,
+  title={The brwac corpus: A new open resource for brazilian portuguese},
+  author={Wagner Filho, Jorge A and Wilkens, Rodrigo and Idiart, Marco and Villavicencio, Aline},
+  booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
+  year={2018}
+}
+```

brwac.py

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+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""BrWaC dataset"""
+
+from __future__ import absolute_import, division, print_function
+
+import os
+import re
+
+import datasets
+
+
+_CITATION = """
+@inproceedings{wagner2018brwac,
+  title={The brwac corpus: A new open resource for brazilian portuguese},
+  author={Wagner Filho, Jorge A and Wilkens, Rodrigo and Idiart, Marco and Villavicencio, Aline},
+  booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
+  year={2018}
+}
+"""
+
+_DESCRIPTION = """
+The BrWaC (Brazilian Portuguese Web as Corpus) is a large corpus constructed following the Wacky framework,
+which was made public for research purposes. The current corpus version, released in January 2017, is composed by
+3.53 million documents, 2.68 billion tokens and 5.79 million types. Please note that this resource is available
+solely for academic research purposes, and you agreed not to use it for any commercial applications.
+Manually download at https://www.inf.ufrgs.br/pln/wiki/index.php?title=BrWaC
+"""
+
+_HOMEPAGE = "https://www.inf.ufrgs.br/pln/wiki/index.php?title=BrWaC"
+
+_LICENSE = ""
+
+
+class Brwac(datasets.GeneratorBasedBuilder):
+    """BrWaC dataset"""
+
+    VERSION = datasets.Version("1.0.0")
+
+    @property
+    def manual_download_instructions(self):
+        return """
+        You need to
+        1. Manually download `brwac.vert.gz` from https://www.inf.ufrgs.br/pln/wiki/index.php?title=BrWaC
+        2. Extract the brwac.vert.gz in; this will result in the file brwac.vert in a folder <path/to/folder>
+        The <path/to/folder> can e.g. be `~/Downloads`.
+        BrWaC can then be loaded using the following command `datasets.load_dataset("brwac", data_dir="<path/to/folder>")`.
+        """
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "doc_id": datasets.Value("string"),
+                "title": datasets.Value("string"),
+                "uri": datasets.Value("string"),
+                "paragraphs": datasets.Sequence({"sentences": datasets.Sequence(datasets.Value("string"))}),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        data_dir = os.path.abspath(os.path.expanduser(dl_manager.manual_dir))
+
+        # check if manual folder exists
+        if not os.path.exists(data_dir):
+            raise FileNotFoundError(
+                f"{data_dir} does not exist. Make sure you insert a manual dir via `datasetts.load_dataset('brwac', data_dir=...)`. Manual download instructions: {self.manual_download_instructions})"
+            )
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "brwac.vert"),
+                    "split": "train",
+                },
+            )
+        ]
+
+    def _generate_examples(self, filepath, split):
+        """ Yields examples. """
+
+        with open(filepath, encoding="utf-8") as f:
+
+            add_space = 1
+            doc_id, title, uri = None, None, None
+            current_sentence, current_paragraph_sentences, paragraphs = "", [], []
+            id_ = 0
+            for line in f:
+
+                line = line.strip()
+
+                if line not in ["<p>", "<s>"]:  # skip these tags
+
+                    if line.startswith("<doc"):  # doc begin
+                        doc_id = re.findall('docid="(.*?)"', line)[0]
+                        title = re.findall('title="(.*?)"', line)[0]
+                        uri = re.findall('uri="(.*?)"', line)[0]
+
+                    elif line == "<g/>":  # don't add space with <g/> occurrence
+                        add_space = 0
+
+                    elif line == "</s>":  # end sentence
+                        current_paragraph_sentences.append(current_sentence)
+                        current_sentence = ""
+
+                    elif line == "</p>":  # end paragraph
+                        paragraphs.append({"sentences": current_paragraph_sentences})
+                        current_paragraph_sentences = []
+
+                    elif len(current_sentence) == 0:
+                        current_sentence = line
+
+                    else:
+                        current_sentence = (add_space * " ").join([current_sentence, line])
+                        add_space = 1
+
+                    if line.strip() == "</doc>":  # doc end
+                        yield id_, {"doc_id": doc_id, "title": title, "uri": uri, "paragraphs": paragraphs}
+                        id_ += 1
+                        add_space = 1
+                        doc_id, title, uri = None, None, None
+                        current_sentence, current_paragraph_sentences, paragraphs = "", [], []

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"}, "paragraphs": {"feature": {"sentences": {"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}}

dummy/1.0.0/dummy_data.zip

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