---
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:** arkadiusz.janz@pwr.edu.pl

### 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"
    },
   <...>
  ],
  "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

[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"
}
````