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.gitattributes

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README.md

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----
-annotations_creators:
-- found
-language_creators:
-- found
-language:
-- my
-license:
-- gpl-3.0
-multilinguality:
-- monolingual
-size_categories:
-- 1K<n<10K
-source_datasets:
-- original
-task_categories:
-- text-classification
-task_ids:
-- topic-classification
-paperswithcode_id: null
-pretty_name: MyanmarNews
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  - name: category
-    dtype:
-      class_label:
-        names:
-          0: Sport
-          1: Politic
-          2: Business
-          3: Entertainment
-  splits:
-  - name: train
-    num_bytes: 3797368
-    num_examples: 8116
-  download_size: 610592
-  dataset_size: 3797368
----
-
-# Dataset Card for Myanmar_News
-
-## Dataset Description
-
-- **Repository:** https://github.com/ayehninnkhine/MyanmarNewsClassificationSystem
-
-### Dataset Summary
-
-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
-
-### Languages
-
-Myanmar/Burmese language
-
-## Dataset Structure
-
-### Data Fields
-
-- text - text from article
-- category - a topic: Business, Entertainment, **Politic**, or **Sport** (note spellings)
-
-### Data Splits
-
-One training set (8,116 total rows)
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-Data was collected by Aye Hninn Khine
-and shared on GitHub with a GPL-3.0 license.
-
-Multiple text files were consolidated into one labeled CSV file by Nick Doiron.
-
-## Additional Information
-
-### Dataset Curators
-
-Contributors to original GitHub repo:
-- https://github.com/ayehninnkhine
-
-### Licensing Information
-
-GPL-3.0
-
-### Citation Information
-
-See https://github.com/ayehninnkhine/MyanmarNewsClassificationSystem
-
-### Contributions
-
-Thanks to [@mapmeld](https://github.com/mapmeld) for adding this dataset.

dataset_infos.json

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-{"default": {"description": "The Myanmar news dataset contains article snippets in four categories:\nBusiness, Entertainment, Politics, and Sport.\n\nThese were collected in October 2017 by Aye Hninn Khine\n", "citation": "", "homepage": "https://github.com/ayehninnkhine/MyanmarNewsClassificationSystem", "license": "GPL-3.0", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "category": {"num_classes": 4, "names": ["Sport", "Politic", "Business", "Entertainment"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "text-classification", "text_column": "text", "label_column": "category", "labels": ["Business", "Entertainment", "Politic", "Sport"]}], "builder_name": "myanmar_news", "config_name": "default", "version": {"version_str": "1.0.1", "description": null, "major": 1, "minor": 0, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 3797368, "num_examples": 8116, "dataset_name": "myanmar_news"}}, "download_checksums": {"https://github.com/Georeactor/MyanmarNewsClassificationSystem/archive/main.zip": {"num_bytes": 610592, "checksum": "e0558e4ea389aee3a31a4b9eb86160ded8c3bde776723177bc08dd4d20c8d980"}}, "download_size": 610592, "post_processing_size": null, "dataset_size": 3797368, "size_in_bytes": 4407960}}

default/myanmar_news-train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:408fb05767e27c0ee1e8b31eee57848006efd072639e3a203c03adaca83ff2ae
+size 1185370

myanmar_news.py

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-# 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],
-                }