update

CC-NEWS-ES-titles.py

@@ -0,0 +1,92 @@
+
+# coding=utf-8
+# Copyright 2020 The TensorFlow Datasets Authors and the 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
+"""CC-NEWS-ES-titles: Title generation from CC-NEWS in Spanish."""
+
+
+import json
+
+import datasets
+from datasets.tasks import Summarization
+
+
+logger = datasets.logging.get_logger(__name__)
+
+
+_CITATION = """ """
+_DESCRIPTION = ""
+_HOMEPAGE = ""
+
+_LICENSE = ""
+
+_URL = "https://huggingface.co/datasets/LeoCordoba/CC-NEWS-ES-titles/"
+_URLS = {
+    "train": _URL + "blob/main/train.json",
+    "test": _URL + "blob/main/test.json",
+    "eval": _URL + "blob/main/eval.json",
+}
+
+class CCNewsESTitlesConfig(datasets.BuilderConfig):
+    """BuilderConfig for CCNewsESTitles."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for CCNewsESTitles.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(CCNewsESTitlesConfig, self).__init__(**kwargs)
+        
+class CCNewsESTitles(datasets.GeneratorBasedBuilder):
+    """Title generation dataset in Spanish from CC-NEWS"""
+    VERSION = datasets.Version("1.0.0")
+    
+    BUILDER_CONFIGS = [
+        CCNewsESTitlesConfig(
+        ),
+    ]
+    
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "output_test": datasets.Value("string")
+                }
+            ),
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        downloaded_files = dl_manager.download_and_extract(_URLS)
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["eval"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]})
+        ]
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        logger.info("generating examples from = %s", filepath)
+        data = []
+        with open(filepath, encoding="utf-8") as f:
+            for line in f:
+                data.append(json.loads(line))
+        for obs in data:
+            yield(obs)    

eval.json

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sample.json

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test.json

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train.json

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