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Datasets:
clarin-pl
/
PUGG_IR

Tasks:
Text Retrieval
Modalities:
Text
Formats:
parquet
Sub-tasks:
document-retrieval
Languages:
Polish
Size:
100K - 1M
ArXiv:
Tags:
wikipedia
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files Community
3
PUGG_IR
File size: 3,716 Bytes 
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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
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](https://huggingface.co/datasets/clarin-pl/PUGG)  - 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) 

Note: If you want to utilize the IR task in the BEIR format (`qrels` in `.tsv` format), please 
download the [IR](https://huggingface.co/datasets/clarin-pl/PUGG_IR) repository.

## Links

* Code:
  * [Github](https://github.com/CLARIN-PL/PUGG)
* Paper:
  * ACL - TBA
  * [Arxiv](https://arxiv.org/abs/2408.02337)

## Citation

```bibtex
@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 

```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)
```