metadata

annotations_creators:
  - expert-generated
language_creators: []
language:
  - pl
license:
  - cc-by-sa-4.0
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - text-retrieval
task_ids:
  - document-retrieval
pretty_name: 'PUGG: IR dataset for Polish'
tags:
  - wikipedia
dataset_info:
  - config_name: corpus
    features:
      - name: _id
        dtype: string
      - name: title
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: test
        num_bytes: 287988378
        num_examples: 309621
    download_size: 200782749
    dataset_size: 287988378
  - config_name: qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: int32
    splits:
      - name: test
        num_bytes: 320317
        num_examples: 10751
    download_size: 132578
    dataset_size: 320317
  - config_name: queries
    features:
      - name: _id
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: test
        num_bytes: 582811
        num_examples: 10751
    download_size: 365953
    dataset_size: 582811
configs:
  - config_name: corpus
    data_files:
      - split: test
        path: corpus/test-*
  - config_name: qrels
    data_files:
      - split: test
        path: qrels/test-*
  - config_name: queries
    data_files:
      - split: test
        path: queries/test-*

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 - contains all tasks (KBQA, MRC, IR*)

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

KBQA
MRC
IR (this repository)

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

[email protected]

Usage

from datasets import load_dataset

dataset_corpus = load_dataset("clarin-pl/PUGG_IR", "corpus")
print(dataset)

dataset_queries = load_dataset("clarin-pl/PUGG_IR", "queries")
print(dataset)

dataset_qrels = load_dataset("clarin-pl/PUGG_IR", "qrels")
print(dataset)

Datasets:

clarin-pl
/

PUGG_IR