README.md

metadata

annotations_creators:
  - expert-generated
language_creators:
  - other
language:
  - pl
license:
  - bsd-3-clause
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - sentiment-classification
pretty_name: polemo2
dataset_info:
  - config_name: in
    features:
      - name: sentence
        dtype: string
      - name: target
        dtype:
          class_label:
            names:
              '0': __label__meta_amb
              '1': __label__meta_minus_m
              '2': __label__meta_plus_m
              '3': __label__meta_zero
    splits:
      - name: train
        num_bytes: 4810215
        num_examples: 5783
      - name: test
        num_bytes: 582052
        num_examples: 722
      - name: validation
        num_bytes: 593530
        num_examples: 723
    download_size: 2350339
    dataset_size: 5985797
  - config_name: out
    features:
      - name: sentence
        dtype: string
      - name: target
        dtype:
          class_label:
            names:
              '0': __label__meta_amb
              '1': __label__meta_minus_m
              '2': __label__meta_plus_m
              '3': __label__meta_zero
    splits:
      - name: train
        num_bytes: 4810215
        num_examples: 5783
      - name: test
        num_bytes: 309790
        num_examples: 494
      - name: validation
        num_bytes: 310977
        num_examples: 494
    download_size: 2139891
    dataset_size: 5430982

Dataset Card for [Dataset Name]

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: https://clarin-pl.eu/dspace/handle/11321/710
• Repository:
• Paper:
• Leaderboard:
• Point of Contact:

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

[More Information Needed]

Languages

Polish

Dataset Structure

Data Instances

[More Information Needed]

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

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

Dataset provided for research purposes only. Please check dataset license for additional information.

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

CC BY-NC-SA 4.0

Citation Information

[More Information Needed]

Contributions

Thanks to @abecadel for adding this dataset.