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:
+- es
+licenses:
+- cc-by-2-1
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- sentiment-classification
+---
+
+# Dataset Card for Muchocine
+
+## 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:** http://www.lsi.us.es/~fermin/index.php/Datasets
+
+### Dataset Summary
+
+The Muchocine reviews dataset contains 3,872 longform movie reviews in Spanish language,
+each with a shorter summary review, and a rating on a 1-5 scale.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+Spanish
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+- review_body - longform review
+- review_summary - shorter-form review
+- star_rating - an integer star rating (1-5)
+
+The original source also includes part-of-speech tagging for body and summary fields.
+
+### Data Splits
+
+One split (train) with 3,872 reviews
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+Data was collected from www.muchocine.net and uploaded by Dr. Fermín L. Cruz Mata
+of La Universidad de Sevilla
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+The text reviews and star ratings came directly from users, so no additional annotation was 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
+
+- Dr. Fermín L. Cruz Mata
+
+### Licensing Information
+
+CC-BY-2.1
+
+### Citation Information
+
+See http://www.lsi.us.es/~fermin/index.php/Datasets

dataset_infos.json

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+{"default": {"description": "The Muchocine reviews dataset contains 3,872 longform movie reviews in Spanish language,\neach with a shorter summary review, and a rating on a 1-5 scale.\n", "citation": "", "homepage": "http://www.lsi.us.es/~fermin/index.php/Datasets", "license": "CC-BY-2.1", "features": {"review_body": {"dtype": "string", "id": null, "_type": "Value"}, "review_summary": {"dtype": "string", "id": null, "_type": "Value"}, "star_rating": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "muchocine", "config_name": "default", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 11855607, "num_examples": 3872, "dataset_name": "muchocine"}}, "download_checksums": {"http://www.lsi.us.es/~fermin/corpusCine.zip": {"num_bytes": 55556703, "checksum": "2be1333c903613402effa85ca629a66541093702c92e079c438b6eb5d84260a5"}}, "download_size": 55556703, "post_processing_size": null, "dataset_size": 11855607, "size_in_bytes": 67412310}}

dummy/1.1.1/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4d9fbeb5fb323644cc34ff45fee54dbcb109efcd51617bea0c931789215adb7e
+size 4703

muchocine.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.
+
+from __future__ import absolute_import, division, print_function
+
+import glob
+import os
+import re
+from xml.dom.minidom import parseString
+
+import datasets
+
+
+# no BibTeX citation
+_CITATION = ""
+
+_DESCRIPTION = """\
+The Muchocine reviews dataset contains 3,872 longform movie reviews in Spanish language,
+each with a shorter summary review, and a rating on a 1-5 scale.
+"""
+
+_LICENSE = "CC-BY-2.1"
+
+_URLs = {"default": "http://www.lsi.us.es/~fermin/corpusCine.zip"}
+
+
+class Muchocine(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.1.1")
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "review_body": datasets.Value("string"),
+                "review_summary": datasets.Value("string"),
+                "star_rating": datasets.Value("int32"),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage="http://www.lsi.us.es/~fermin/index.php/Datasets",
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        my_urls = _URLs[self.config.name]
+        data_dir = dl_manager.download_and_extract(my_urls)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepaths": sorted(glob.glob(os.path.join(data_dir, "corpusCriticasCine", "*.xml"))),
+                    "split": "train",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepaths, split):
+        for filepath in filepaths:
+            with open(filepath, encoding="latin-1") as f:
+                id = re.search(r"\d+\.xml", filepath)[0][:-4]
+
+                txt = f.read()
+                txt = txt.replace("“", '"').replace("”", '"').replace("…", "")
+                txt = txt.replace("‘", '"').replace("’", '"').replace("′", "")
+                txt = txt.replace("à", "à").replace("–", "-").replace("è", "è")
+                txt = txt.replace("ö", "ö").replace("ç", "ç").replace("&", "and")
+                try:
+                    doc = parseString(txt)
+                except Exception as e:
+                    # skip 6 malformed xml files, for example unescaped < and >
+                    _ = e
+                    continue
+
+                btxt = ""
+                review_bod = doc.getElementsByTagName("body")
+                if len(review_bod) > 0:
+                    for node in review_bod[0].childNodes:
+                        if node.nodeType == node.TEXT_NODE:
+                            btxt += node.data + " "
+
+                rtxt = ""
+                review_summ = doc.getElementsByTagName("summary")
+                if len(review_summ) > 0:
+                    for node in review_summ[0].childNodes:
+                        if node.nodeType == node.TEXT_NODE:
+                            rtxt += node.data + " "
+
+                yield id, {
+                    "review_body": btxt,
+                    "review_summary": rtxt,
+                    "star_rating": int(doc.documentElement.attributes["rank"].value),
+                }