Task Categories: text-retrieval
Languages: Polish
Multilinguality: monolingual
Size Categories: 1K<n<10K
Language Creators: expert-generated
Annotations Creators: expert-generated
Source Datasets: original
Licenses: unknown
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Dataset Summary

Brand-Product Relation Extraction Corpora in Polish

Supported Tasks and Leaderboards

NER, Entity linking



Dataset Structure

Data Instances

[More Information Needed]

Data Fields

  • id: int identifier of a text
  • text: string text, for example a consumer comment on the social media
  • ner: extracted entities and their relationship
    • source and target: a pair of entities identified in the text
      • from: int value representing starting character of the entity
      • text: string value with the entity text
      • to: int value representing end character of the entity
      • type: one of pre-identified entity types:
        • PRODUCT_NAME
        • BRAND_NAME
        • BRAND_NAME_IMP
        • VERSION
        • PRODUCT_ADJ
        • BRAND_ADJ
        • LOCATION
        • LOCATION_IMP

Data Splits

No train/validation/test split provided. Current dataset configurations point to 4 domain categories for the texts:

  • tele
  • electro
  • cosmetics
  • banking

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]


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

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

author = {Janz, Arkadiusz and Kopociński, Łukasz and Piasecki, Maciej and Pluwak, Agnieszka},
year = {2020},
month = {05},
pages = {},
title = {Brand-Product Relation Extraction Using Heterogeneous Vector Space Representations}


Thanks to @kldarek for adding this dataset.

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