Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
parquet
Sub-tasks:
document-retrieval
Languages:
Polish
Size:
100K - 1M
ArXiv:
Tags:
wikipedia
License:
File size: 2,289 Bytes
120608c b0ea85d 120608c 2779d97 120608c 2779d97 b0ea85d 120608c b0ea85d 120608c 2779d97 120608c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 |
---
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)
```
|