Delete ComplexQA.py

ComplexQA.py

@@ -1,154 +0,0 @@
-"""Polish Question Answering Dataset"""
-
-import json
-import datasets
-
-_CITATION = """\
-@InProceedings{10.1007/978-3-032-09318-9_18,
-author="Wojtasik, Konrad
-and Domaga{\l}a, Aleksandra
-and Oleksy, Marcin
-and Piasecki, Maciej",
-editor="Nguyen, Ngoc Thanh
-and Dinh Duc Anh, Vu
-and Kozierkiewicz, Adrianna
-and Nguyen Van, Sinh
-and N{\'u}{\~{n}}ez, Manuel
-and Treur, Jan
-and Vossen, Gottfried",
-title="Towards Complex Question Answering in Polish Language",
-booktitle="Computational Collective Intelligence",
-year="2026",
-publisher="Springer Nature Switzerland",
-address="Cham",
-pages="256--268",
-abstract="Reasoning over text is a challenging task, especially if the reasoning requires aggregating information from long context and multiple steps to reach the correct answer. We introduce Complex Question Answering dataset (Complex Q{\&}A Corpus) and its annotation procedure in the Polish language. Our dataset features human-annotated reasoning across extended documents. The questions within this dataset are carefully prepared and undergo rigorous cross-examination. Each complex question is accompanied by auxiliary questions that highlight specific text fragments and information necessary to formulate the final answer. We have identified the main reasoning patterns from our dataset annotation and human evaluation. We also proposed automatic evaluation procedure through the LLM-as-a-Judge paradigm and evaluated the performance of current state-of-the-art models.",
-isbn="978-3-032-09318-9"
-}
-"""
-
-_DESCRIPTION = """\
-This dataset contains Polish language questions and answers based on factual documents.
-It includes both simple and complex questions with different reasoning patterns for
-question answering and reading comprehension tasks.
-"""
-
-_HOMEPAGE = ""
-
-_LICENSE = ""
-
-_URLS = {
-    "test": "anotated_ComplexQA.jsonl",
-}
-
-
-class PolishQADataset(datasets.GeneratorBasedBuilder):
-    """ComplexQA Dataset"""
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="default",
-            version=VERSION,
-            description="Default configuration with all questions",
-        ),
-    ]
-
-    DEFAULT_CONFIG_NAME = "default"
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "doc_id": datasets.Value("string"),
-                "doc_text": datasets.Value("string"),
-                "complex_questions": [
-                    {
-                        "question_id": datasets.Value("string"),
-                        "question_type": datasets.Value("string"),
-                        "question": datasets.Value("string"),
-                        "answer": datasets.Value("string"),
-                        "span": datasets.Sequence(datasets.Value("int32")),
-                        "reasoning_pattern": datasets.Value("string"),
-                    }
-                ],
-                "simple_questions": [
-                    {
-                        "question_id": datasets.Value("string"),
-                        "question_type": datasets.Value("string"),
-                        "question": datasets.Value("string"),
-                        "answer": datasets.Value("string"),
-                        "span": datasets.Sequence(datasets.Value("int32")),
-                    }
-                ],
-            }
-        )
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        urls = _URLS
-        data_dir = dl_manager.download_and_extract(urls)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": data_dir["train"],
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": data_dir["validation"],
-                    "split": "validation",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": data_dir["test"],
-                    "split": "test",
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath, split):
-        """Yields examples."""
-        with open(filepath, encoding="utf-8") as f:
-            for idx, line in enumerate(f):
-                data = json.loads(line)
-                
-                yield idx, {
-                    "doc_id": data["doc_id"],
-                    "doc_text": data["doc_text"],
-                    "complex_questions": [
-                        {
-                            "question_id": q["question_id"],
-                            "question_type": q["question_type"],
-                            "question": q["question"],
-                            "answer": q["answer"],
-                            "span": q["span"],
-                            "reasoning_pattern": q["reasoning_pattern"],
-                        }
-                        for q in data.get("complex_questions", [])
-                    ],
-                    "simple_questions": [
-                        {
-                            "question_id": q["question_id"],
-                            "question_type": q["question_type"],
-                            "question": q["question"],
-                            "answer": q["answer"],
-                            "span": q["span"],
-                        }
-                        for q in data.get("simple_questions", [])
-                    ],
-                }