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:

Knowledge Graph

Note: If you want to utilize the IR task in the BEIR format (qrels in .tsv format), please download the IR repository.

Citation

@misc{sawczyn2024developingpuggpolishmodern,
      title={Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction}, 
      author={Albert Sawczyn and Katsiaryna Viarenich and Konrad Wojtasik and Aleksandra Domogała and Marcin Oleksy and Maciej Piasecki and Tomasz Kajdanowicz},
      year={2024},
      eprint={2408.02337},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2408.02337}, 
}

Contact

albert.sawczyn@pwr.edu.pl

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)

Datasets:

clarin-pl
/

PUGG