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OLD/CoQCat.py

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+"""CoQA dataset."""
+
+
+import json
+
+import datasets
+
+
+_HOMEPAGE = ""
+
+_CITATION = """\
+
+"""
+
+_DESCRIPTION = """\
+CoQCat - Conversational Question Answering in Catalan
+"""
+
+_TRAIN_FILE = "train.json"
+_DEV_FILE = "dev.json"
+_TEST_FILE = "test.json"
+
+class Coqa(datasets.GeneratorBasedBuilder):
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "source": datasets.Value("string"),
+                    "story": datasets.Value("string"),
+                    "questions": datasets.features.Sequence(datasets.Value("string")),
+                    "answers": datasets.features.Sequence(
+                        {
+                            "input_text": datasets.Value("string"),
+                            "answer_start": datasets.Value("int32"),
+                            "answer_end": datasets.Value("int32"),
+                        }
+                    ),
+                }
+            ),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        urls_to_download = {
+            "train": f"{_TRAIN_FILE}",
+            "dev": f"{_DEV_FILE}",
+            "test": f"{_TEST_FILE}",
+        }
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"], "split": "train"}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"], "split": "validation"}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"], "split": "test"}),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        """Yields examples."""
+        with open(filepath, encoding="utf-8") as f:
+            data = json.load(f)
+            for row in data["data"]:
+                questions = [question["input_text"] for question in row["questions"]]
+                story = row["story"]
+                source = row["source"]
+                answers_start = [answer["span_start"] for answer in row["answers"]]
+                answers_end = [answer["span_end"] for answer in row["answers"]]
+                answers = [answer["input_text"] for answer in row["answers"]]
+                yield row["id"], {
+                    "source": source,
+                    "story": story,
+                    "questions": questions,
+                    "answers": {"input_text": answers, "answer_start": answers_start, "answer_end": answers_end},
+                }

OLD/train.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0e91c9e753e4a747b8aae80f2402df41d2cfaef2add7296e314f57b1ec7e787c
+size 39968225