Update files from the datasets library (from 1.2.0)

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

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README.md

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+---
+annotations_creators:
+- found
+language_creators:
+- found
+languages:
+- sv
+licenses:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- n<1K
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- sentiment-classification
+---
+
+# Dataset Card for Swedish Reviews
+
+## 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-instances)
+  - [Data Splits](#data-instances)
+- [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:** [swedish_reviews homepage](https://github.com/timpal0l/swedish-sentiment)
+- **Repository:** [swedish_reviews repository](https://github.com/timpal0l/swedish-sentiment)
+- **Point of Contact:** [Tim Isbister](mailto:timisbisters@gmail.com)
+
+### Dataset Summary
+
+The dataset is scraped from various Swedish websites where reviews are present. The dataset consists of 103 482 samples split between `train`, `valid` and `test`. It is a sample of the full dataset, where this sample is balanced to the minority class (negative). The original data dump was heavly skewved to positive samples with a 95/5 ratio.  
+
+### Supported Tasks and Leaderboards
+
+This dataset can be used to evaluate sentiment classification on Swedish.
+
+### Languages
+
+The text in the dataset is in Swedish.
+
+## Dataset Structure
+
+### Data Instances
+
+What a sample looks like:
+```
+{
+ 'text': 'Jag tycker huggingface är ett grymt project!',
+ 'label': 1,
+}
+```
+
+### Data Fields
+
+- `text`:  A text where the sentiment expression is present.
+- `label`: a int representing the label `0`for negative and `1`for positive.
+
+### Data Splits
+
+The data is split into a training, validation and test set. The final split sizes are as follow:
+
+| Train   | Valid  | Test  |
+| ------  | -----  | ----  |
+| 62089   |  20696 | 20697 |
+
+## Dataset Creation
+
+### Curation Rationale
+
+### Source Data
+Various Swedish websites with product reviews.
+#### Initial Data Collection and Normalization
+
+#### Who are the source language producers?
+Swedish
+### Annotations
+
+#### Annotation process
+Automatically annotated based on user reviews on a scale 1-5, where 1-2 is considered `negative` and 4-5 is `positive`, 3 is skipped as it tends to be more neutral. 
+#### Who are the annotators?
+The users who have been using the products.
+### Personal and Sensitive Information
+[More Information Needed]
+## Considerations for Using the Data
+[More Information Needed]
+### Social Impact of Dataset
+[More Information Needed]
+### Discussion of Biases
+[More Information Needed]
+### Other Known Limitations
+[More Information Needed]
+## Additional Information
+[More Information Needed]
+### Dataset Curators
+The corpus was scraped by @timpal0l
+### Licensing Information
+Research only.
+### Citation Information
+No paper exists currently.

dataset_infos.json

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+{"plain_text": {"description": "Swedish reviews scarped from various public available websites", "citation": "", "homepage": "https://github.com/timpal0l/swedish-sentiment", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["negative", "positive"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "swedish_reviews", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 6296541, "num_examples": 20697, "dataset_name": "swedish_reviews"}, "validation": {"name": "validation", "num_bytes": 6359227, "num_examples": 20696, "dataset_name": "swedish_reviews"}, "train": {"name": "train", "num_bytes": 18842891, "num_examples": 62089, "dataset_name": "swedish_reviews"}}, "download_checksums": {"https://raw.githubusercontent.com/timpal0l/swedish-sentiment/main/swedish_sentiment.zip": {"num_bytes": 11841056, "checksum": "1bf3b7111af2bd1c43b30e32201d35b70ebacb80cd505666383142183e46ca98"}}, "download_size": 11841056, "post_processing_size": null, "dataset_size": 31498659, "size_in_bytes": 43339715}}

dummy/plain_text/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d261eed415e16b93d94da5b578f25bf7b0eb04c3e02e9fe2ca02c6382909a4d0
+size 2617

swedish_reviews.py

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+# coding=utf-8
+# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+#
+# 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.
+
+# Lint as: python3
+
+from __future__ import absolute_import, division, print_function
+
+import csv
+import os
+
+import datasets
+
+
+_DOWNLOAD_URL = "https://raw.githubusercontent.com/timpal0l/swedish-sentiment/main/swedish_sentiment.zip"
+_TRAIN_FILE = "train.csv"
+_VAL_FILE = "dev.csv"
+_TEST_FILE = "test.csv"
+
+_CITATION = ""
+
+_DESCRIPTION = "Swedish reviews scarped from various public available websites"
+
+
+class SwedishReviews(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="plain_text",
+            version=datasets.Version("1.0.0", ""),
+            description="Plain text import of the Swedish Reviews dataset",
+        )
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {"text": datasets.Value("string"), "label": datasets.ClassLabel(names=["negative", "positive"])}
+            ),
+            supervised_keys=None,
+            homepage="https://github.com/timpal0l/swedish-sentiment",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        dl_dir = dl_manager.download_and_extract(_DOWNLOAD_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": os.path.join(dl_dir, _TEST_FILE)},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"filepath": os.path.join(dl_dir, _VAL_FILE)},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": os.path.join(dl_dir, _TRAIN_FILE)},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        with open(filepath, encoding="utf-8") as f:
+            reader = csv.DictReader(f)
+            for idx, row in enumerate(reader):
+                yield idx, {
+                    "text": row["text"],
+                    "label": row["sentiment"],
+                }