Convert dataset to Parquet

README.md

@@ -35,10 +35,15 @@ dataset_info:
           '4': '-2'
   splits:
   - name: train
-    num_bytes: 829569
+    num_bytes: 829561
     num_examples: 9008
-  download_size: 690873
-  dataset_size: 829569
+  download_size: 512677
+  dataset_size: 829561
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
 ---
 
 # Dataset Card for DanishPoliticalComments

danish_political_comments.py

@@ -1,72 +0,0 @@
-# coding=utf-8
-# Copyright 2020 HuggingFace Datasets Authors.
-#
-# 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.
-
-# Lint as: python3
-import datasets
-
-
-_DESCRIPTION = """\
-The dataset consists of 9008 sentences that are labelled with fine-grained polarity in the range from -2 to 2 (negative to postive). The quality of the fine-grained is not cross validated and is therefore subject to uncertainties; however, the simple polarity has been cross validated and therefore is considered to be more correct.
-"""
-_HOMEPAGE_URL = "https://github.com/steffan267/Sentiment-Analysis-on-Danish-Social-Media"
-_URL = (
-    "https://raw.githubusercontent.com/steffan267/Sentiment-Analysis-on-Danish-Social-Media/master/all_sentences.tsv"
-)
-_CITATION = "https://github.com/lucaspuvis/SAM/blob/master/Thesis.pdf"
-
-
-class DanishPoliticalComments(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("0.9.1")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "sentence": datasets.Value("string"),
-                    "target": datasets.features.ClassLabel(names=["2", "1", "0", "-1", "-2"]),
-                },
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE_URL,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        path = dl_manager.download_and_extract(_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"datapath": path},
-            )
-        ]
-
-    def _generate_examples(self, datapath):
-        sentence_counter = 0
-        with open(datapath, encoding="utf-8") as f:
-            for row in f:
-                row = row.strip()
-                target, sentence = row.split("\t")
-                result = (
-                    sentence_counter,
-                    {
-                        "id": str(sentence_counter),
-                        "sentence": sentence,
-                        "target": target,
-                    },
-                )
-                sentence_counter += 1
-                yield result

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e82ab96f17c171ad0e1a0bad8fffa1ea3d37f1799e280806c7aaa181ded91ca7
+size 512677