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Datasets:
clarin-knext
/
wsd_polish_datasets

Tasks:
Token Classification
Sub-tasks:
word-sense-disambiguation
Languages:
Polish
Size:
1M<n<10M
License:
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metadata
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 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 zosta艂a zerwana z 艂贸偶ka, po czym odegra艂a si臋 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": "zosta艂a",
      "lemma": "zosta膰",
      "pos": "verb",
      "ctag": "praet:perf:f:sg"
    },
    {
      "index": 4,
      "position": [
        27,
        34
      ],
      "orth": "zerwana",
      "lemma": "zerwa膰",
      "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": "艂贸偶ka",
      "lemma": "艂贸偶ko",
      "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": "odegra膰 si臋"
    }
  ],
  "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": "zosta膰.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": "zerwa膰.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": "艂o偶e.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": "zem艣ci膰_si臋.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"
}