init

THUCNewsText.py

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+import csv
+
+import datasets
+
+
+_TRAIN_DOWNLOAD_URL = "https://drive.google.com/u/0/uc?id=1yoH_Aa09ECjjhHMHS8ML_d5-ydDwNETu&export=download"
+_DEV_DOWNLOAD_URL = "https://drive.google.com/u/0/uc?id=1GVslP3rnHPoxHHNeEyYDMjFxZVRiSdhM&export=download"
+_TEST_DOWNLOAD_URL = "https://drive.google.com/u/0/uc?id=1NIF3_OHxYM7WgG8xnBP_X393_sQKK43Z&export=download"
+
+
+
+class THUCNewsText(datasets.GeneratorBasedBuilder):
+
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=None,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "label": datasets.features.ClassLabel(names=['education', 'entertainment', 'fashion', 'finance', 'game', 'politic', 'society', 'sport', 'stock', 'technology']),
+                }
+
+            ),
+            homepage=None,
+            citation=None,
+        )
+
+    def _split_generators(self, dl_manager):
+        train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL)
+        dev_path = dl_manager.download_and_extract(_DEV_DOWNLOAD_URL)
+        test_path = dl_manager.download_and_extract(_TEST_DOWNLOAD_URL)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": dev_path}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}),
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath, encoding="utf-8") as csv_file:
+            csv_reader = csv.reader(
+                csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
+            )
+            for id_, row in enumerate(csv_reader):
+                if id_ == 0:
+                    continue
+                label, text = row
+                label = int(label)
+                yield id_, {"text": text, "label": label}

dataset_info.json

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+{"description": "", "citation": "", "homepage": "", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 10, "names": ["education", "entertainment", "fashion", "finance", "game", "politic", "society", "sport", "stock", "technology"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "thuc_news_text", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 126435278, "num_examples": 50000, "dataset_name": "thuc_news_text"}, "validation": {"name": "validation", "num_bytes": 12851943, "num_examples": 5000, "dataset_name": "thuc_news_text"}, "test": {"name": "test", "num_bytes": 25321294, "num_examples": 9890, "dataset_name": "thuc_news_text"}}, "download_checksums": {"https://drive.google.com/u/0/uc?id=1yoH_Aa09ECjjhHMHS8ML_d5-ydDwNETu&export=download": {"num_bytes": 126044506, "checksum": "11cddd159185e11c4ea6d4428d0439f1548804cc170f972408d93bdf5e10d891"}, "https://drive.google.com/u/0/uc?id=1GVslP3rnHPoxHHNeEyYDMjFxZVRiSdhM&export=download": {"num_bytes": 12812815, "checksum": "a8dfaa74475fa40015bcdd6532df42d6d4b2dfb2269ac82564e84260bf64c1b1"}, "https://drive.google.com/u/0/uc?id=1NIF3_OHxYM7WgG8xnBP_X393_sQKK43Z&export=download": {"num_bytes": 25244351, "checksum": "b9ad0923c44a88793c43193c5327a4feb053096087dda84b11fb36bc1816bb5b"}}, "download_size": 164101672, "post_processing_size": null, "dataset_size": 164608515, "size_in_bytes": 328710187}

thuc_news_text-test.arrow

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+oid sha256:d81bf29698e9e5d12890dc9f37c8dfcef4c27fd021953e24a23c4e0a0ae79863
+size 25322056

thuc_news_text-train.arrow

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d28b79d124463cc3a9fe76e1f155bce909fe6fa5ff677094d356b24c071e6bec
+size 126436888

thuc_news_text-validation.arrow

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+oid sha256:619fb8d0cacd64066880bd52cd45efde09883e2fbe0b69312c3acd9e38cb2817
+size 12852704