Convert dataset to Parquet

README.md

@@ -32,10 +32,15 @@ dataset_info:
           '3': Entertainment
   splits:
   - name: train
-    num_bytes: 3797368
+    num_bytes: 3797364
     num_examples: 8116
-  download_size: 610592
-  dataset_size: 3797368
+  download_size: 1185371
+  dataset_size: 3797364
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
 ---
 
 # Dataset Card for Myanmar_News

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c20b838d8d318845eb047992cfa72c8a1476bd46f89805c168ff5311d8386018
+size 1185371

myanmar_news.py

@@ -1,83 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-import csv
-import os
-
-import datasets
-from datasets.tasks import TextClassification
-
-
-# no BibTeX citation
-_CITATION = ""
-
-_DESCRIPTION = """\
-The Myanmar news dataset contains article snippets in four categories:
-Business, Entertainment, Politics, and Sport.
-
-These were collected in October 2017 by Aye Hninn Khine
-"""
-
-_LICENSE = "GPL-3.0"
-
-_URLs = {"default": "https://github.com/Georeactor/MyanmarNewsClassificationSystem/archive/main.zip"}
-
-
-class MyanmarNews(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.1")
-
-    def _info(self):
-        class_names = ["Sport", "Politic", "Business", "Entertainment"]
-        features = datasets.Features(
-            {
-                "text": datasets.Value("string"),
-                "category": datasets.ClassLabel(names=class_names),
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=None,
-            homepage="https://github.com/ayehninnkhine/MyanmarNewsClassificationSystem",
-            license=_LICENSE,
-            citation=_CITATION,
-            task_templates=[TextClassification(text_column="text", label_column="category")],
-        )
-
-    def _split_generators(self, dl_manager):
-        my_urls = _URLs[self.config.name]
-        data_dir = dl_manager.download_and_extract(my_urls)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, "MyanmarNewsClassificationSystem-main", "topics.csv"),
-                    "split": "train",
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath, split):
-        with open(filepath, encoding="utf-8") as f:
-            rdr = csv.reader(f, delimiter="\t")
-            next(rdr)
-            rownum = 0
-            for row in rdr:
-                rownum += 1
-                yield rownum, {
-                    "text": row[0],
-                    "category": row[1],
-                }