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.