Datasets:
annotations_creators:
- expert-generated
language_creators:
- other
language:
- pl
license:
- gpl-3.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
paperswithcode_id: null
pretty_name: NJKP NER
dataset_info:
features:
- name: sentence
dtype: string
- name: target
dtype:
class_label:
names:
'0': geogName
'1': noEntity
'2': orgName
'3': persName
'4': placeName
'5': time
splits:
- name: test
num_bytes: 221092
num_examples: 2058
- name: train
num_bytes: 1612125
num_examples: 15794
- name: validation
num_bytes: 196652
num_examples: 1941
download_size: 821629
dataset_size: 2029869
Dataset Card for NJKP NER
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: http://nkjp.pl/index.php?page=0&lang=1
- Repository:
- Paper: @book{przepiorkowski2012narodowy, title={Narodowy korpus j{\k{e}}zyka polskiego}, author={Przepi{'o}rkowski, Adam}, year={2012}, publisher={Naukowe PWN}
- Leaderboard:
- Point of Contact: adamp@ipipan.waw.pl
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]
Languages
Polish
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]
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
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
GNU GPL v.3
Citation Information
@book{przepiorkowski2012narodowy, title={Narodowy korpus j{\k{e}}zyka polskiego}, author={Przepi{'o}rkowski, Adam}, year={2012}, publisher={Naukowe PWN} }
Contributions
Thanks to @abecadel for adding this dataset.