wsd_polish_datasets / README.md
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---
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], [email protected]
### Dataset Summary
`WSD Polish Datasets` are 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"
},
{
"index": 5,
"position": [
35,
36
],
"orth": "z",
"lemma": "z",
"pos": "prep",
"ctag": "prep:gen:nwok"
},
{
"index": 6,
"position": [
37,
42
],
"orth": "łóżka",
"lemma": "łóżko",
"pos": "noun",
"ctag": "subst:gen:n:sg"
},
{
"index": 7,
"position": [
42,
43
],
"orth": ",",
"lemma": ",",
"pos": "interp",
"ctag": "interp"
},
...
],
"phrases": [
{
"token_indices": [
10,
11
],
"head": 10,
"lemma": "odegrać się"
}
],
"wsd": [
{
"token_id": 0,
"pl_sense": "najpierw.1.r",
"plWN_syn_id": "477654",
"plWN_lex_id": "718453",
"plWN_syn_id_new": "98ee84eb5f4611eda4930242ac130002",
"plWN_lex_id_new": "8c5acff25f4611eda4930242ac130002"
},
{
"token_id": 1,
"pl_sense": "niewiasta.1.n",
"plWN_syn_id": "129",
"plWN_lex_id": "4345",
"plWN_syn_id_new": "8e384db65f4611eda4930242ac130002",
"plWN_lex_id_new": "71c622355f4611eda4930242ac130002"
},
{
"token_id": 3,
"pl_sense": "zostać.6.v",
"plWN_syn_id": "7068800",
"plWN_lex_id": "7069137",
"plWN_syn_id_new": "9924a0215f4611eda4930242ac130002",
"plWN_lex_id_new": "8cfcc4395f4611eda4930242ac130002"
},
{
"token_id": 4,
"pl_sense": "zerwać.9.v",
"plWN_syn_id": "81101",
"plWN_lex_id": "81717",
"plWN_syn_id_new": "8fec998d5f4611eda4930242ac130002",
"plWN_lex_id_new": "754169415f4611eda4930242ac130002"
},
{
"token_id": 6,
"pl_sense": "łoże.1.n",
"plWN_syn_id": "7419",
"plWN_lex_id": "12010",
"plWN_syn_id_new": "8e88576c5f4611eda4930242ac130002",
"plWN_lex_id_new": "71f360dd5f4611eda4930242ac130002"
},
{
"token_id": 10,
"pl_sense": "zemścić_się.1.v",
"plWN_syn_id": "62160",
"plWN_lex_id": "88109",
"plWN_syn_id_new": "8fbbdfff5f4611eda4930242ac130002",
"plWN_lex_id_new": "7568f5085f4611eda4930242ac130002"
}
]
}
```
### 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
[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
````
@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}lia
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"
}
````