Convert dataset to Parquet

README.md

@@ -34,10 +34,15 @@ dataset_info:
           '5': '68'
   splits:
   - name: train
-    num_bytes: 1662833
+    num_bytes: 1662809
     num_examples: 53639
-  download_size: 406005
-  dataset_size: 1662833
+  download_size: 826963
+  dataset_size: 1662809
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
 ---
 
 # Dataset Card for COVID-19 日本語Twitterデータセット (COVID-19 Japanese Twitter Dataset)

covid_tweets_japanese.py

@@ -1,91 +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.
-"""COVID-19 Japanese Tweets Dataset."""
-
-
-import bz2
-import csv
-
-import datasets
-
-
-_CITATION = """\
-No paper about this dataset is published yet. \
-Please cite this dataset as "鈴木 優: COVID-19 日本語 Twitter データセット （http://www.db.info.gifu-u.ac.jp/covid-19-twitter-dataset/）"
-"""
-
-_DESCRIPTION = """\
-53,640 Japanese tweets with annotation if a tweet is related to COVID-19 or not. The annotation is by majority decision by 5 - 10 crowd workers. \
-Target tweets include "COVID" or "コロナ". The period of the tweets is from around January 2020 to around June 2020. \
-The original tweets are not contained. Please use Twitter API to get them, for example.
-"""
-
-_HOMEPAGE = "http://www.db.info.gifu-u.ac.jp/covid-19-twitter-dataset/"
-
-_LICENSE = "CC-BY-ND 4.0"
-
-# The HuggingFace dataset library don't host the datasets but only point to the original files
-# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
-_URLs = {
-    "url": "http://www.db.info.gifu-u.ac.jp/data/covid19.csv.bz2",
-}
-
-
-class CovidTweetsJapanese(datasets.GeneratorBasedBuilder):
-    """COVID-19 Japanese Tweets Dataset."""
-
-    VERSION = datasets.Version("1.1.0")
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "tweet_id": datasets.Value("string"),
-                "assessment_option_id": datasets.ClassLabel(names=["63", "64", "65", "66", "67", "68"]),
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        my_urls = _URLs["url"]
-        # data_url = dl_manager.download_and_extract(my_urls)
-        data_url = dl_manager.download(my_urls)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": data_url, "split": "train"},
-            ),
-        ]
-
-    def _generate_examples(self, filepath, split):
-        """Yields examples."""
-
-        with bz2.open(filepath, "rt") as f:
-            data = csv.reader(f)
-            _ = next(data)
-            for id_, row in enumerate(data):
-                yield id_, {
-                    "tweet_id": row[0],
-                    "assessment_option_id": row[1],
-                }

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0efc1b978cb0e6ffba007ba1c787b332e4fe890d6f3fea155641cbd11a017e79
+size 826963