--- annotations_creators: [] language_creators: [] language: - pl - en license: - cc-by-sa-4.0 multilinguality: - monolingual - multilingual size_categories: [] source_datasets: - found task_categories: [] task_ids: [] pretty_name: 'PUGG: KG for KBQA task in Polish' tags: - knowledge graph - KBQA - wikipedia - wikidata configs: - config_name: 1H_triples data_files: - split: train path: 1/triples.jsonl - config_name: 1H_attributes data_files: - split: train path: 1/attributes.jsonl - config_name: 1H_labels_en data_files: - split: train path: 1/labels_en.jsonl - config_name: 1H_descriptions data_files: - split: train path: 1/descriptions.jsonl - config_name: 1H_aliases data_files: - split: train path: 1/aliases.jsonl - config_name: 1H_labels_pl data_files: - split: train path: 1/labels_pl.jsonl - config_name: 1H_times data_files: - split: train path: 1/times.jsonl - config_name: 2H_triples data_files: - split: train path: 2/triples.jsonl - config_name: 2H_attributes data_files: - split: train path: 2/attributes.jsonl - config_name: 2H_labels_en data_files: - split: train path: 2/labels_en.jsonl - config_name: 2H_descriptions data_files: - split: train path: 2/descriptions.jsonl - config_name: 2H_aliases data_files: - split: train path: 2/aliases.jsonl - config_name: 2H_labels_pl data_files: - split: train path: 2/labels_pl.jsonl - config_name: 2H_times data_files: - split: train path: 2/times.jsonl --- # PUGG: KBQA, MRC, IR Dataset for Polish ## Description This repository contains the **knowledge graph** dedicated for the KBQA (Knowledge Base Question Answering) task within the PUGG dataset. This repository does not contain directly any task, but it provides the knowledge graph that can be used to solve the KBQA task from the PUGG dataset. ### Graphs We provide sampled versions of the knowledge graph based on Wikidata: - **Wikidata1H**: A subgraph created by traversing 1 relation from each answer and topic entity. - **Wikidata2H**: A subgraph created by traversing 2 relations from each answer and topic entity. ### How We Created the Graphs 1. We used the Wikidata dump from 2023-10-16. The dump is available on S3 via the DVC tool (see [code repository](https://github.com/CLARIN-PL/PUGG)). 2. We collected all answer and topic entities from the PUGG dataset. 3. We traversed the graph from each answer and topic entity for *n* hops. 4. We filtered out entities that do not have labels in Polish. 5. We saved the subgraphs in various structures: * triples * labels_pl * labels_en * aliases (Polish) * descriptions (Polish) * attributes * times See [Usage](#usage) for more information on how to load the graphs. ## 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 PUGG 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) The knowledge graph for KBQA task is available in the following repository: * [Knowledge Graph](https://huggingface.co/datasets/clarin-pl/PUGG_KG) **(this repository)** 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 albert.sawczyn@pwr.edu.pl ## Usage ```python from datasets import load_dataset dataset_1H_triples = load_dataset("clarin-pl/PUGG_KG", '1H_triples') print(dataset_1H_triples) dataset_1H_labels_pl = load_dataset("clarin-pl/PUGG_KG", '1H_labels_pl') print(dataset_1H_labels_pl) dataset_1H_labels_en = load_dataset("clarin-pl/PUGG_KG", '1H_labels_en') print(dataset_1H_labels_en) dataset_1H_aliases = load_dataset("clarin-pl/PUGG_KG", '1H_aliases') print(dataset_1H_aliases) dataset_1H_descriptions = load_dataset("clarin-pl/PUGG_KG", '1H_descriptions') print(dataset_1H_descriptions) dataset_1H_attributes = load_dataset("clarin-pl/PUGG_KG", '1H_attributes') print(dataset_1H_attributes) dataset_1H_times = load_dataset("clarin-pl/PUGG_KG", '1H_times') print(dataset_1H_times) dataset_2H_triples = load_dataset("clarin-pl/PUGG_KG", '2H_triples') print(dataset_2H_triples) dataset_2H_labels_pl = load_dataset("clarin-pl/PUGG_KG", '2H_labels_pl') print(dataset_2H_labels_pl) dataset_2H_labels_en = load_dataset("clarin-pl/PUGG_KG", '2H_labels_en') print(dataset_2H_labels_en) dataset_2H_aliases = load_dataset("clarin-pl/PUGG_KG", '2H_aliases') print(dataset_2H_aliases) dataset_2H_descriptions = load_dataset("clarin-pl/PUGG_KG", '2H_descriptions') print(dataset_2H_descriptions) dataset_2H_attributes = load_dataset("clarin-pl/PUGG_KG", '2H_attributes') print(dataset_2H_attributes) dataset_2H_times = load_dataset("clarin-pl/PUGG_KG", '2H_times') print(dataset_2H_times) ```