Task Categories: structure-prediction
Languages: pl
Multilinguality: monolingual
Size Categories: 10K<n<100K
Licenses: gpl-3.0
Language Creators: other
Annotations Creators: expert-generated
Source Datasets: original

Dataset Card for [Dataset Name]

Dataset Summary

A linguistic corpus is a collection of texts where one can find the typical use of a single word or a phrase, as well as their meaning and grammatical function. Nowadays, without access to a language corpus, it has become impossible to do linguistic research, to write dictionaries, grammars and language teaching books, to create search engines sensitive to Polish inflection, machine translation engines and software of advanced language technology. Language corpora have become an essential tool for linguists, but they are also helpful for software engineers, scholars of literature and culture, historians, librarians and other specialists of art and computer sciences. The manually annotated 1-million word subcorpus of the NJKP, available on GNU GPL v.3

Supported Tasks and Leaderboards

Named entity recognition

[More Information Needed]



Dataset Structure

Data Instances

Two tsv files (train, dev) with two columns (sentence, target) and one (test) with just one (sentence).

Data Fields

  • sentence
  • target

Data Splits

Data is splitted in train/dev/test split.

Dataset Creation

Curation Rationale

This dataset is one of nine evaluation tasks to improve polish language processing.

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

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Additional Information

Dataset Curators

[More Information Needed]

Licensing Information


Citation Information

@book{przepiorkowski2012narodowy, title={Narodowy korpus j{\k{e}}zyka polskiego}, author={Przepi{'o}rkowski, Adam}, year={2012}, publisher={Naukowe PWN} }


Thanks to @abecadel for adding this dataset.

Models trained or fine-tuned on nkjp-ner

None yet