Update parquet files

deepage2_qa_dataset.py

@@ -1,69 +0,0 @@
-"""TODO: DATASET SHORT DESCRIPTION"""
-
-import json
-import datasets
-from datasets.tasks import TextClassification
-
-_DESCRIPTION = """TODO: DATASET DESCRIPTION"""
-
-_CITATION = """TODO: CITATIONS"""
-
-_URL = "https://huggingface.co/datasets/rsgrava/deepage2_qa_dataset/resolve/main/"
-_URLS = {
-    "train": _URL + "expanded_ds-train.json",
-    "dev": _URL + "expanded_ds-test.json",
-}
-
-class SquadV1PtBr(datasets.GeneratorBasedBuilder):
-    """TODO: SHORT DATASET DESCRIPTION"""
-
-    VERSION = datasets.Version("1.1.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "source_text": datasets.Value("string"),
-                    "target_text": datasets.Value("string"),
-                }
-            ),
-            # No default supervised_keys (as we have to pass both question and context as input).
-            supervised_keys=None,
-            homepage="TODO: HOMEPAGE",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        urls_to_download = _URLS
-        downloaded_files = dl_manager.download_and_extract(urls_to_download)
-
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
-        ]
-
-    def _generate_examples(self, filepath):
-        with open(filepath) as f:
-            key = 0
-            ids = []
-            squad = json.load(f)
-            for article in squad["data"]:
-                for paragraph in article["paragraphs"]:
-                    source_text = paragraph["context"].strip()
-                    questions = []
-                    for qa in paragraph["qas"]:
-                        id_ = qa["id"]
-                        if id_ in ids:
-                            #skip duplicate entries
-                            continue
-                        else:
-                            ids.append(id_)
-                        questions.append(qa["question"].strip())
-                    target_text = "<sep>".join(questions)
-
-                    yield key, {
-                        "source_text": source_text,
-                        "target_text": target_text,
-                    }
-                    key += 1

expanded_ds-dev.json

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:cff81e597d24726e61167b81aef2f608c817138bc44cf20d97b9d29ecd0aa764
-size 276756

expanded_ds-train.json

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:176ee5873fa73d35465c8b186b3e96320d9b34d1575915553f4397d30a09fe87
-size 1296533

expanded_ds-validation.json

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c81a2baf95dd66bf22a7853636511ec05b4e8e570d18290ceaf01a55d4c6dae1
-size 276270