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README.md

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----
-annotations_creators:
-- found
-language_creators:
-- found
-language:
-- sv
-license:
-- unknown
-multilinguality:
-- monolingual
-size_categories:
-- 100K<n<1M
-source_datasets:
-- original
-task_categories:
-- text-classification
-task_ids:
-- sentiment-classification
-paperswithcode_id: null
-pretty_name: Swedish Reviews
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: negative
-          1: positive
-  config_name: plain_text
-  splits:
-  - name: test
-    num_bytes: 6296541
-    num_examples: 20697
-  - name: validation
-    num_bytes: 6359227
-    num_examples: 20696
-  - name: train
-    num_bytes: 18842891
-    num_examples: 62089
-  download_size: 11841056
-  dataset_size: 31498659
----
-
-# Dataset Card for Swedish Reviews
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#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)
-  - [Contributions](#contributions)
-
-## 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:[email protected])
-
-### 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
-
-[More Information Needed]
-
-### Source Data
-
-Various Swedish websites with product reviews.
-
-#### Initial Data Collection and Normalization
-
-#### Who are the source language producers?
-
-Swedish
-
-### Annotations
-
-[More Information Needed]
-
-#### 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.
-
-### Contributions
-
-Thanks to [@timpal0l](https://github.com/timpal0l) for adding this dataset.

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, "task_templates": [{"task": "text-classification", "text_column": "text", "label_column": "label", "labels": ["negative", "positive"]}], "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}}

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plain_text/swedish_reviews-train.parquet

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plain_text/swedish_reviews-validation.parquet

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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
-
-
-import csv
-import os
-
-import datasets
-from datasets.tasks import TextClassification
-
-
-_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,
-            task_templates=[TextClassification(text_column="text", label_column="label")],
-        )
-
-    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"],
-                }