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Datasets:
clarin-pl
/
PUGG

Tasks:
Question Answering
Text Retrieval
Modalities:
Tabular
Text
Formats:
json
Sub-tasks:
extractive-qa
document-retrieval
Languages:
Polish
Size:
10K - 100K
ArXiv:
Tags:
knowledge graph
KBQA
wikipedia
wikidata
Libraries:
Datasets
Dask
License:
Dataset card Viewer Files Community
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PUGG / README.md
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metadata
annotations_creators:
  - expert-generated
language_creators: []
language:
  - pl
license:
  - cc-by-sa-4.0
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - question-answering
  - text-retrieval
task_ids:
  - extractive-qa
  - document-retrieval
pretty_name: 'PUGG: KBQA, MRC, IR dataset for Polish'
tags:
  - knowledge graph
  - KBQA
  - wikipedia
  - wikidata
configs:
  - config_name: kbqa_all
    data_files:
      - split: train
        path: kbqa/*/train.jsonl
      - split: test
        path: kbqa/*/test.jsonl
  - config_name: kbqa_natural
    data_files:
      - split: train
        path: kbqa/natural/train.jsonl
      - split: test
        path: kbqa/natural/test.jsonl
  - config_name: kbqa_template-based
    data_files:
      - split: train
        path: kbqa/template-based/train.jsonl
      - split: test
        path: kbqa/template-based/test.jsonl
  - config_name: mrc
    data_files:
      - split: train
        path: mrc/train.jsonl
      - split: test
        path: mrc/test.jsonl
  - config_name: ir_corpus
    data_files:
      - split: test
        path: ir/corpus.jsonl
  - config_name: ir_queries
    data_files:
      - split: test
        path: ir/queries.jsonl
  - config_name: ir_qrels
    data_files:
      - split: test
        path: ir/qrels/test.jsonl

PUGG: KBQA, MRC, IR Dataset for Polish

Description

This repository contains the PUGG dataset designed for three NLP tasks in the Polish language:

  • KBQA (Knowledge Base Question Answering)
  • MRC (Machine Reading Comprehension)
  • IR (Information Retrieval)

Paper

For more detailed information, please refer to our research paper titled:

"Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction"

Authored by:

  • Albert Sawczyn
  • Katsiaryna Viarenich
  • Konrad Wojtasik
  • Aleksandra Domogała
  • Marcin Oleksy
  • Maciej Piasecki
  • Tomasz Kajdanowicz

The paper was accepted for ACL 2024 (findings).

Repositories

The dataset is available in the following repositories:

  • General (this repository) - contains all tasks (KBQA, MRC, IR)

For more straightforward usage, the tasks are also available in separate repositories:

The knowledge graph for KBQA task is available in the following repository:

Links

  • Code:
  • Paper:
    • ACL - TBA
    • Arxiv - TBA

Usage 

from datasets import load_dataset

# loading KBQA (all)
dataset = load_dataset("clarin-pl/PUGG", "kbqa_all")
print(dataset)

# loading KBQA (natural)
dataset = load_dataset("clarin-pl/PUGG", "kbqa_natural")
print(dataset)

# loading KBQA (template-based)
dataset = load_dataset("clarin-pl/PUGG", "kbqa_template-based")
print(dataset)

# loading MRC

dataset = load_dataset("clarin-pl/PUGG", "mrc")
print(dataset)

# loading IR

## corpus
dataset = load_dataset("clarin-pl/PUGG", "ir_corpus")
print(dataset)

## queries
dataset = load_dataset("clarin-pl/PUGG", "ir_queries")
print(dataset)

## qrels
dataset = load_dataset("clarin-pl/PUGG", "ir_qrels")
print(dataset)

Citation

TBA

Contact

albert.sawczyn@pwr.edu.pl