metadata

language:
  - pl
license:
  - cc-by-nc-sa-4.0
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
task_categories:
  - text-classification
task_ids:
  - topic-classification
  - multi-class-classification
pretty_name: 8TAGS
dataset_info:
  features:
    - name: sentence
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': film
            '1': history
            '2': food
            '3': medicine
            '4': motorization
            '5': work
            '6': sport
            '7': technology
  splits:
    - name: train
      num_bytes: 3765325
      num_examples: 40001
    - name: validation
      num_bytes: 467676
      num_examples: 5000
    - name: test
      num_bytes: 416311
      num_examples: 4372

8TAGS

Dataset Summary

A Polish topic classification dataset consisting of headlines from social media posts. It contains about 50,000 sentences annotated with 8 topic labels: film, history, food, medicine, motorization, work, sport and technology. This dataset was created automatically by extracting sentences from headlines and short descriptions of articles posted on Polish social networking site wykop.pl. The service allows users to annotate articles with one or more tags (categories). Dataset represents a selection of article sentences from 8 popular categories. The resulting corpus contains cleaned and tokenized, unambiguous sentences (tagged with only one of the selected categories), and longer than 30 characters.

Data Instances

Example instance:

{
  "sentence": "Kierowca był nieco zdziwiony że podróżując sporo ponad 200 km / h zatrzymali go policjanci.", 
  "label": "4"
}

Data Fields

sentence: sentence text
label: label identifier corresponding to one of 8 topics

Citation Information

@inproceedings{dadas-etal-2020-evaluation,
  title = "Evaluation of Sentence Representations in {P}olish",
  author = "Dadas, Slawomir  and Pere{\l}kiewicz, Micha{\l} and Po{\'s}wiata, Rafa{\l}",
  booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
  month = may,
  year = "2020",
  address = "Marseille, France",
  publisher = "European Language Resources Association",
  url = "https://aclanthology.org/2020.lrec-1.207",
  pages = "1674--1680",
  language = "English",
  ISBN = "979-10-95546-34-4",
}