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README.md

@@ -1,15 +1,85 @@
 ---
-{}
+annotations_creators:
+- expert-generated
+language_creators: []
+language:
+- pl
+license:
+- cc-by-sa-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- question-answering
+- text-retrieval
+task_ids:
+- extractive-qa
+- document-retrieval
+pretty_name: 'PUGG: KBQA, MRC, IR dataset for Polish'
+tags:
+- knowledge graph
+- KBQA
+- wikipedia
+- wikidata
+configs:
+- config_name: kbqa_all
+  data_files:
+  - split: train
+    path: kbqa/*/train.jsonl
+  - split: test
+    path: kbqa/*/test.jsonl
+- config_name: kbqa_natural
+  data_files:
+  - split: train
+    path: kbqa/natural/train.jsonl
+  - split: test
+    path: kbqa/natural/test.jsonl
+- config_name: kbqa_template-based
+  data_files:
+  - split: train
+    path: kbqa/template-based/train.jsonl
+  - split: test
+    path: kbqa/template-based/test.jsonl
+- config_name: mrc
+  data_files:
+  - split: train
+    path: mrc/train.jsonl
+  - split: test
+    path: mrc/test.jsonl
+- config_name: ir_corpus
+  data_files:
+  - split: test
+    path: ir/corpus.jsonl
+- config_name: ir_queries
+  data_files:
+  - split: test
+    path: ir/queries.jsonl
+- config_name: ir_qrels
+  data_files:
+  - split: test
+    path: ir/qrels/test.jsonl
 ---
-# PUGG: KBQA, MRC, IR dataset for Polish
+# PUGG: KBQA, MRC, IR Dataset for Polish
 
 ## Description
 
-This repository will contain PUGG - the dataset created in the research paper titled:
+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:
+Authored by:
 * Albert Sawczyn
 * Katsiaryna Viarenich
 * Konrad Wojtasik
@@ -20,6 +90,22 @@ authored by:
   
 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) (this repository) - 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) 
+
 ## Links
 
 * Code:
@@ -28,6 +114,44 @@ The paper was accepted for ACL 2024 (findings).
   * ACL - TBA
   * Arxiv - TBA
  
+## Usage 
+
+```python
+from datasets import load_dataset
+
+# loading KBQA (all)
+dataset = load_dataset("clarin-pl/PUGG", "kbqa_all")
+print(dataset)
+
+# loading KBQA (natural)
+dataset = load_dataset("clarin-pl/PUGG", "kbqa_natural")
+print(dataset)
+
+# loading KBQA (template-based)
+dataset = load_dataset("clarin-pl/PUGG", "kbqa_template-based")
+print(dataset)
+
+# loading MRC
+
+dataset = load_dataset("clarin-pl/PUGG", "mrc")
+print(dataset)
+
+# loading IR
+
+## corpus
+dataset = load_dataset("clarin-pl/PUGG", "ir_corpus")
+print(dataset)
+
+## queries
+dataset = load_dataset("clarin-pl/PUGG", "ir_queries")
+print(dataset)
+
+## qrels
+dataset = load_dataset("clarin-pl/PUGG", "ir_qrels")
+print(dataset)
+```
+
+
 ## Citation
 
 TBA

ir/corpus.jsonl

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