Datasets:
Tasks:
Token Classification
Sub-tasks:
word-sense-disambiguation
Languages:
Polish
Size:
1M<n<10M
License:
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-description) | |
- [Dataset Summary](#dataset-summary) | |
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
- [Languages](#languages) | |
- [Dataset Structure](#dataset-structure) | |
- [Data Instances](#data-instances) | |
- [Data Fields](#data-fields) | |
- [Data Splits](#data-splits) | |
- [Dataset Creation](#dataset-creation) | |
- [Curation Rationale](#curation-rationale) | |
- [Source Data](#source-data) | |
- [Annotations](#annotations) | |
- [Personal and Sensitive Information](#personal-and-sensitive-information) | |
- [Considerations for Using the Data](#considerations-for-using-the-data) | |
- [Social Impact of Dataset](#social-impact-of-dataset) | |
- [Discussion of Biases](#discussion-of-biases) | |
- [Other Known Limitations](#other-known-limitations) | |
- [Additional Information](#additional-information) | |
- [Dataset Curators](#dataset-curators) | |
- [Licensing Information](#licensing-information) | |
- [Citation Information](#citation-information) | |
- [Contributions](#contributions) | |
## 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 in Polish language. | |
It consists of 7 distinct datasets, manually annotated with senses from plWordNet-4.5 sense inventory. The following datasets | |
were annotated and included into our benchmark: | |
- KPWr | |
- KPWr-100 | |
- Sherlock (SPEC) | |
- Skladnica | |
- WikiGlex (a subset of GLEX corpus) | |
- EmoGlex (a subset of GLEX corpus) | |
- Walenty | |
For more details, please check the following publication: | |
``` | |
@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" | |
} | |
``` | |
**A new publication on Polish WSD corpora will be available soon** | |
### Supported Tasks and Leaderboards | |
Word sense disambiguation task. We do not provide a leaderboard. However, we provide an example evaluation script for evaluating WSD models. | |
### 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 sentence | |
- `tokens`: list of tokens made by tokenization process | |
- `index`: token order index in sentence | |
- `position`: token chars span indices <included, excluded> | |
- `orth`: word | |
- `lemma`: lemmatised word | |
- `pos`: part of speech | |
- `ctag`: morphosyntactic tag | |
- `phrases`: list of multi-word | |
- `wsd`: annotation labels for the WSD task | |
### Data Splits | |
We do not specify an exact data split for training and evaluation. However, we suggest to use GLEX and Składnica for training and other datasets for testing. | |
## Dataset Creation | |
### Curation Rationale | |
[More Information Needed] | |
### Source Data | |
#### Initial Data Collection, Normalization and Post-processing | |
Source corpora were initially pre-processed using morphosyntactic tagging and multi-word expression recognition tools. | |
To tokenize and tag the datasets we used [MorphoDiTa](https://clarin-pl.eu/dspace/handle/11321/425) adapted to Polish language. To recognize multi-word expressions | |
we applied pattern-based matching tool [Corpus2-MWE](https://clarin-pl.eu/dspace/handle/11321/533) - only MWEs from plWordNet were included. After manual annotation, | |
sense indices of plWordNet 4.5 were mapped automatically to Princeton WordNet 3.0 and BabelNet 4.0 indices using plWordNet's interlingual mapping. | |
### Annotations | |
#### Annotation process | |
* 2+1 annotation process with inter-annotator agreement score over 0.6 PSA | |
* annotated with [plWordNet 4.5](http://plwordnet.pwr.wroc.pl/wordnet/) | |
* software: [WordNet-Loom](https://clarin-pl.eu/dspace/handle/11321/275) and [Inforex](https://clarin-pl.eu/dspace/handle/11321/13) | |
* both single-word and multi-word expressions annotated | |
* full-text sense annotation (excluding KPWr) | |
#### Who are the annotators? | |
- professional linguists from CLARIN-PL project | |
### Personal and Sensitive Information | |
The datasets do not contain any personal or sensitive information. | |
## Considerations for Using the Data | |
### Discussion of Biases | |
Some datasets are biased towards most frequent senses. No information about other biases - needs further analysis. | |
### Other Known Limitations | |
* sense inventories are usually incomplete therefore some word senses might be missing in plWordNet | |
* single-word and multi-word terms expressing novel senses (missing in plWordNet) were not marked | |
## Additional Information | |
### Dataset Curators | |
Arkadiusz Janz ([email protected]) | |
### Licensing Information | |
KPWR-100 [CC-BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) | |
KPWR [CC-BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) | |
Walenty [CC-BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) | |
Sherlock [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/) | |
Skladnica [GNU GPL 3](http://www.gnu.org/licenses/gpl-3.0.en.html) | |
GLEX [plWordNet License](http://plwordnet.pwr.wroc.pl/wordnet/licence) | |
### Citation Information | |
Main source (all corpora as a unified benchmark) and published here on HuggingFace: | |
```` | |
@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}} | |
} | |
```` | |
Mapping plWordNet onto Princeton WordNet | |
```` | |
@inproceedings{rudnicka-etal-2021-non, | |
title = "A (Non)-Perfect Match: Mapping pl{W}ord{N}et onto {P}rinceton{W}ord{N}et", | |
author = "Rudnicka, Ewa and | |
Witkowski, Wojciech and | |
Piasecki, Maciej", | |
booktitle = "Proceedings of the 11th Global Wordnet Conference", | |
month = jan, | |
year = "2021", | |
address = "University of South Africa (UNISA)", | |
publisher = "Global Wordnet Association", | |
url = "https://aclanthology.org/2021.gwc-1.16", | |
pages = "137--146" | |
} | |
```` | |