README.md

metadata

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 Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: swedish_reviews homepage
• Repository: swedish_reviews repository
• Point of Contact: Tim Isbister

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 0for negative and 1for 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 for adding this dataset.