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---
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
configs:
- config_name: corpus
  data_files:
  - split: test
    path: corpus.jsonl
- config_name: queries
  data_files:
  - split: test
    path: queries.jsonl
- config_name: qrels
  data_files:
  - split: test
    path: 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](https://huggingface.co/datasets/clarin-pl/PUGG_KBQA)  - contains all tasks (KBQA, MRC, IR)

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

* [KBQA](https://huggingface.co/datasets/clarin-pl/PUGG_KBQA) 
* [MRC](https://huggingface.co/datasets/clarin-pl/PUGG_MRC) 
* [IR](https://huggingface.co/datasets/clarin-pl/PUGG_IR) **(this repository)**

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

* [Knowledge Graph](https://huggingface.co/datasets/clarin-pl/PUGG_KG) 

## Links

* Code:
  * [Github](https://github.com/CLARIN-PL/PUGG)
* Paper:
  * ACL - TBA
  * Arxiv - TBA

## Citation

TBA

## Contact

[email protected]

## Usage 

```python
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)
```