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--- |
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annotations_creators: |
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- expert-generated |
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language_creators: [] |
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language: |
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- pl |
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license: |
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- cc-by-sa-4.0 |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 1K<n<10K |
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- 10K<n<100K |
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source_datasets: |
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- original |
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task_categories: |
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- question-answering |
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- text-retrieval |
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task_ids: |
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- extractive-qa |
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- document-retrieval |
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pretty_name: 'PUGG: KBQA, MRC, IR dataset for Polish' |
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tags: |
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- knowledge graph |
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- KBQA |
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- wikipedia |
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- wikidata |
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configs: |
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- config_name: kbqa_all |
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data_files: |
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- split: train |
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path: kbqa/*/train.jsonl |
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- split: test |
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path: kbqa/*/test.jsonl |
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- config_name: kbqa_natural |
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data_files: |
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- split: train |
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path: kbqa/natural/train.jsonl |
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- split: test |
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path: kbqa/natural/test.jsonl |
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- config_name: kbqa_template-based |
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data_files: |
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- split: train |
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path: kbqa/template-based/train.jsonl |
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- split: test |
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path: kbqa/template-based/test.jsonl |
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- config_name: mrc |
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data_files: |
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- split: train |
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path: mrc/train.jsonl |
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- split: test |
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path: mrc/test.jsonl |
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- config_name: ir_corpus |
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data_files: |
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- split: test |
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path: ir/corpus.jsonl |
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- config_name: ir_queries |
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data_files: |
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- split: test |
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path: ir/queries.jsonl |
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- config_name: ir_qrels |
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data_files: |
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- split: test |
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path: ir/qrels/test.jsonl |
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--- |
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# PUGG: KBQA, MRC, IR Dataset for Polish |
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## Description |
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This repository contains the PUGG dataset designed for three NLP tasks in the Polish language: |
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- KBQA (Knowledge Base Question Answering) |
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- MRC (Machine Reading Comprehension) |
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- IR (Information Retrieval) |
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## Paper |
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For more detailed information, please refer to our research paper titled: |
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**"Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction"** |
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Authored by: |
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* Albert Sawczyn |
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* Katsiaryna Viarenich |
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* Konrad Wojtasik |
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* Aleksandra Domogała |
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* Marcin Oleksy |
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* Maciej Piasecki |
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* Tomasz Kajdanowicz |
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The paper was accepted for ACL 2024 (findings). |
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## Repositories |
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The dataset is available in the following repositories: |
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* [General](https://huggingface.co/datasets/clarin-pl/PUGG_KBQA) (this repository) - contains all tasks (KBQA, MRC, IR) |
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For more straightforward usage, the tasks are also available in separate repositories: |
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* [KBQA](https://huggingface.co/datasets/clarin-pl/PUGG_KBQA) |
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* [MRC](https://huggingface.co/datasets/clarin-pl/PUGG_MRC) |
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* [IR](https://huggingface.co/datasets/clarin-pl/PUGG_IR) |
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The knowledge graph for KBQA task is available in the following repository: |
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* [Knowledge Graph](https://huggingface.co/datasets/clarin-pl/PUGG_KG) |
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## Links |
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* Code: |
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* [Github](https://github.com/CLARIN-PL/PUGG) |
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* Paper: |
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* ACL - TBA |
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* Arxiv - TBA |
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## Usage |
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```python |
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from datasets import load_dataset |
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# loading KBQA (all) |
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dataset = load_dataset("clarin-pl/PUGG", "kbqa_all") |
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print(dataset) |
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# loading KBQA (natural) |
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dataset = load_dataset("clarin-pl/PUGG", "kbqa_natural") |
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print(dataset) |
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# loading KBQA (template-based) |
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dataset = load_dataset("clarin-pl/PUGG", "kbqa_template-based") |
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print(dataset) |
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# loading MRC |
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dataset = load_dataset("clarin-pl/PUGG", "mrc") |
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print(dataset) |
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# loading IR |
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## corpus |
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dataset = load_dataset("clarin-pl/PUGG", "ir_corpus") |
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print(dataset) |
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## queries |
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dataset = load_dataset("clarin-pl/PUGG", "ir_queries") |
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print(dataset) |
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## qrels |
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dataset = load_dataset("clarin-pl/PUGG", "ir_qrels") |
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print(dataset) |
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``` |
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## Citation |
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TBA |
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## Contact |
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albert.sawczyn@pwr.edu.pl |
