add dataset tnews

paddlehub/dataset/__init__.py

@@ -23,6 +23,7 @@ from .toxic import Toxic
 from .squad import SQUAD
 from .xnli import XNLI
 from .glue import GLUE
+from .tnews import TNews
 
 # CV Dataset
 from .dogcat import DogCatDataset as DogCat

paddlehub/dataset/tnews.py

+# coding:utf-8
+# Copyright (c) 2019  PaddlePaddle Authors. All Rights Reserved.
+#
+# 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.
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+from collections import namedtuple
+import io
+import os
+import csv
+
+from paddlehub.dataset import InputExample, HubDataset
+from paddlehub.common.downloader import default_downloader
+from paddlehub.common.dir import DATA_HOME
+from paddlehub.common.logger import logger
+
+_DATA_URL = "https://bj.bcebos.com/paddlehub-dataset/tnews.tar.gz"
+
+
+class TNews(HubDataset):
+    """
+    TNews is the chinese news classification dataset on JinRiTouDiao App.
+    """
+
+    def __init__(self):
+        self.dataset_dir = os.path.join(DATA_HOME, "tnews")
+        if not os.path.exists(self.dataset_dir):
+            ret, tips, self.dataset_dir = default_downloader.download_file_and_uncompress(
+                url=_DATA_URL, save_path=DATA_HOME, print_progress=True)
+        else:
+            logger.info("Dataset {} already cached.".format(self.dataset_dir))
+
+        self._load_train_examples()
+        self._load_test_examples()
+        self._load_dev_examples()
+
+    def _load_train_examples(self):
+        self.train_file = os.path.join(self.dataset_dir,
+                                       "toutiao_category_train.txt")
+        self.train_examples = self._read_file(self.train_file)
+
+    def _load_dev_examples(self):
+        self.dev_file = os.path.join(self.dataset_dir,
+                                     "toutiao_category_dev.txt")
+        self.dev_examples = self._read_file(self.dev_file)
+
+    def _load_test_examples(self):
+        self.test_file = os.path.join(self.dataset_dir,
+                                      "toutiao_category_test.txt")
+        self.test_examples = self._read_file(self.test_file)
+
+    def get_train_examples(self):
+        return self.train_examples
+
+    def get_dev_examples(self):
+        return self.dev_examples
+
+    def get_test_examples(self):
+        return self.test_examples
+
+    def get_labels(self):
+        return [
+            'news_game', 'news_sports', 'news_finance', 'news_entertainment',
+            'news_tech', 'news_house', 'news_car', 'news_culture', 'news_world',
+            'news_travel', 'news_agriculture', 'news_military', 'news_edu',
+            'news_story', 'stock'
+        ]
+
+    @property
+    def num_labels(self):
+        """
+        Return the number of labels in the dataset.
+        """
+        return len(self.get_labels())
+
+    def _read_file(self, input_file):
+        """Reads a tab separated value file."""
+        with io.open(input_file, "r", encoding="UTF-8") as file:
+            examples = []
+            for line in file:
+                data = line.strip().split("_!_")
+                example = InputExample(
+                    guid=data[0], label=data[2], text_a=data[3])
+                examples.append(example)
+
+            return examples
+
+
+if __name__ == "__main__":
+    ds = TNews()
+    for e in ds.get_train_examples()[:10]:
+        print("{}\t{}\t{}\t{}".format(e.guid, e.text_a, e.text_b, e.label))

paddlehub/dataset/toxic.py

@@ -33,8 +33,8 @@ _DATA_URL = "https://bj.bcebos.com/paddlehub-dataset/toxic.tar.gz"
 
 class Toxic(HubDataset):
     """
-    ChnSentiCorp (by Tan Songbo at ICT of Chinese Academy of Sciences, and for
-    opinion mining)
+    The kaggle Toxic dataset:
+    https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge
     """
 
     def __init__(self):