Datasets:
annotations_creators:
- expert-generated
language:
- pl
language_creators:
- expert-generated
- found
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: wsd-polish-datasets
size_categories:
- 1M<n<10M
source_datasets:
- original
tags: []
task_categories:
- token-classification
task_ids:
- word-sense-disambiguation
Word Sense Disambiguation Corpora for Polish
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage:
- Repository:
- Paper: https://link.springer.com/chapter/10.1007/978-3-031-08754-7_70
- Point of Contact: [email protected]
Dataset Summary
WSD Polish Datasets
is a comprehensive benchmark for word sense disambiguation (WSD) classification task written in low-resource language Polish.
It consists of 6 distinct datasets, manually annotated based on plWordNet-4.2:
- KPWr
- KPWr-100
- Sherlock (SPEC)
- Skladnica
- WikiGlex
- EmoGlex
- Walenty
Supported Tasks and Leaderboards
Word sense disambiguation task
Languages
Polish language, PL
Dataset Structure
Data Instances
Data are structured in JSONL format, each single text sample is divided by sentence.
{
"text": "Wpierw pani Hudson została zerwana z łóżka, po czym odegrała się na mnie, a ja - na tobie.",
"tokens": [
{
"index": 0,
"position": [ 0, 6 ],
"orth": "Wpierw",
"lemma": "wpierw",
"pos": "adv",
"ctag": "adv"
},
{
"index": 1,
"position": [ 7, 11 ],
"orth": "pani",
"lemma": "pani",
"pos": "noun",
"ctag": "subst:nom:f:sg"
},
{
"index": 2,
"position": [ 12, 18 ],
"orth": "Hudson",
"lemma": "Hudson",
"pos": "noun",
"ctag": "subst:nom:f:sg"
},
{
"index": 3,
"position": [ 19, 26 ],
"orth": "została",
"lemma": "zostać",
"pos": "verb",
"ctag": "praet:perf:f:sg"
},
{
"index": 4,
"position": [ 27, 34 ],
"orth": "zerwana",
"lemma": "zerwać",
"pos": "verb",
"ctag": "ppas:perf:nom:f:aff:sg"
},
<...>
],
"phrases": [
{
"indices": [ 10, 11 ],
"head": 10,
"lemma": "odegrać się"
}
],
"wsd": [
{
"index": 0,
"pl_sense": "wpierw.1.r",
"plWN_syn_id": "01a4a067-aac5-11ed-aae5-0242ac130002",
"plWN_lex_id": "f2757c30-aac4-11ed-aae5-0242ac130002",
"plWN_syn_legacy_id": "477654",
"plWN_lex_legacy_id": "718454",
"PWN_syn_id": "00102736-r",
"bn_syn_id": "bn:00115376r",
"mapping_relation": "synonymy"
},
{
"index": 1,
"pl_sense": "pani.2.n",
"plWN_syn_id": "f35fb1ed-aac4-11ed-aae5-0242ac130002",
"plWN_lex_id": "d5145565-aac4-11ed-aae5-0242ac130002",
"plWN_syn_legacy_id": "129",
"plWN_lex_legacy_id": "20695",
"PWN_syn_id": "10787470-n",
"bn_syn_id": "bn:00001530n",
"mapping_relation": "synonymy"
},
<...>
]
}
Data Fields
Description of json keys:
text
: text of the sentencetokens
: list of tokens made by tokenization processindex
: token order index in sentenceposition
: token chars span indices <included, excluded>orth
: wordlemma
: lemmatised wordpos
: part of speechctag
: morphosyntactic tag
phrases
: list of multi-wordwsd
: annotation labels for the WSD task
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
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
Main source (all corpora as a unified benchmark)
@InProceedings{10.1007/978-3-031-08754-7_70,
author="Janz, Arkadiusz
and Dziob, Agnieszka
and Oleksy, Marcin
and Baran, Joanna",
editor="Groen, Derek
and de Mulatier, Cl{\'e}llia
and Paszynski, Maciej
and Krzhizhanovskaya, Valeria V.
and Dongarra, Jack J.
and Sloot, Peter M. A.",
title="A Unified Sense Inventory for Word Sense Disambiguation in Polish",
booktitle="Computational Science -- ICCS 2022",
year="2022",
publisher="Springer International Publishing",
address="Cham",
pages="682--689",
isbn="978-3-031-08754-7"
}
Related work
KPWr-100, Składnica, SPEC
@article{janzresults,
title={Results of the PolEval 2020 Shared Task 3: Word Sense Disambiguation},
author={Janz, Arkadiusz and Chlebus, Joanna and Dziob, Agnieszka and Piasecki, Maciej},
journal={Proceedings of the PolEval 2020 Workshop},
pages={65--77},
year={2020}
}
GLEX (EmoGLEX)
@article{janz2017plwordnet,
title={{plWordNet} as a basis for large emotive lexicons of Polish},
author={Janz, Arkadiusz and Kocon, Jan and Piasecki, Maciej and Zasko-Zielinska, Monika},
journal={Proceedings of Human Language Technologies as a Challenge for Computer Science and Linguistics Poznan: Fundacja Uniwersytetu im. Adama Mickiewicza w Poznaniu},
pages={189--193},
year={2017}
}
KPWr
@conference{broda2012,
address = {Istanbul, Turkey},
author = {Bartosz Broda and Micha{\l} Marci{\'n}czuk and Marek Maziarz and Adam Radziszewski and Adam Wardy{\'n}ski},
booktitle = {Proceedings of LREC'12},
owner = {Marlena},
publisher = {ELRA},
timestamp = {2014.06.20},
title = {KPWr: Towards a Free Corpus of Polish},
year = {2012}
}
Składnica
@inproceedings{hajnicz-2014-lexico,
title = "Lexico-Semantic Annotation of Sk{\l}adnica Treebank by means of {PLWN} Lexical Units",
author = "Hajnicz, El{\.z}bieta",
booktitle = "Proceedings of the Seventh Global {W}ordnet Conference",
month = jan,
year = "2014",
address = "Tartu, Estonia",
publisher = "University of Tartu Press",
url = "https://aclanthology.org/W14-0104",
pages = "23--31",
}
Walenty
@inproceedings{haj:and:bar:lrec16,
author = {Hajnicz, El{\.z}bieta and Andrzejczuk, Anna and Bartosiak, Tomasz},
crossref = {lrec:16},
pages = {2625--2632},
pdf = {http://www.lrec-conf.org/proceedings/lrec2016/pdf/382_Paper.pdf},
title = {Semantic Layer of the Valence Dictionary of {P}olish \emph{{W}alenty}}
}