Dataset:

Task Categories: text-classification
Languages: pl
Multilinguality: monolingual
Size Categories: 1K<n<10K
Licenses: bsd-3-clause
Language Creators: other
Annotations Creators: expert-generated
Source Datasets: original

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Dataset Summary

The PolEmo2.0 is a set of online reviews from medicine and hotels domains. The task is to predict the sentiment of a review. There are two separate test sets, to allow for in-domain (medicine and hotels) as well as out-of-domain (products and university) validation.

Supported Tasks and Leaderboards

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Languages

Polish

Dataset Structure

Data Instances

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Data Fields

  • sentence: string, the review
  • target: sentiment of the sentence class

The same tag system is used in plWordNet Emo for lexical units: [+m] (strong positive), [+s] (weak positive), [-m] (strong negative), [-s] (weak negative), [amb] (ambiguous) and [0] (neutral).

Note that the test set doesn't have targets so -1 is used instead

Data Splits

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Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

CC BY-NC-SA 4.0

Citation Information

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Contributions

Thanks to @abecadel for adding this dataset.

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clarin-pl.eu
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Models trained or fine-tuned on polemo2

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