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simplebooks.py

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+# 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.
+
+"""SimpleBooks dataset."""
+
+
+import os
+
+import datasets
+
+_CITATION = """\
+@misc{nguyen2019simplebooks,
+    title={SimpleBooks: Long-term dependency book dataset with simplified English vocabulary for word-level language modeling}, 
+    author={Huyen Nguyen},
+    year={2019},
+    eprint={1911.12391},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL}
+}
+"""
+
+_DESCRIPTION = """\
+SimpleBooks is a small long-term dependency dataset that has the FREQ number equivalent to the 1 billion token dataset. Its small vocabulary size and small percentage of out-of-vocabulary words make it an ideal testbed and benchmark for word-level language modeling task and tutorials.
+It was created from 1,573 Gutenberg books. They were selected out of 39,432 Gutenberg books using a hill-climbing algorithm to maximize FREQ.
+"""
+
+_LICENSE = "CC BY-SA"
+
+URL = "https://dldata-public.s3.us-east-2.amazonaws.com/simplebooks.zip"
+
+
+class SimpleBooks(datasets.GeneratorBasedBuilder):
+    """SimpleBooks dataset."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="simplebooks-2", version=VERSION, description="2.2M tokens with the vocab size of 11,492"),
+        datasets.BuilderConfig(name="simplebooks-2-raw", version=VERSION, description="2.2M tokens with the vocab size of 11,492 (raw)"),
+        datasets.BuilderConfig(name="simplebooks-92", version=VERSION, description="92M tokens with the vocab size of 98,304"),
+        datasets.BuilderConfig(name="simplebooks-92-raw", version=VERSION, description="92M tokens with the vocab size of 98,304 (raw)"),   
+    ]
+
+    DEFAULT_CONFIG_NAME = "simplebooks-2"
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                }
+            ),
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        archive = dl_manager.download_and_extract(URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "path": os.path.join(archive, self.config.name, "train.txt"),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "path": os.path.join(archive, self.config.name, "valid.txt")
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "path": os.path.join(archive, self.config.name, "test.txt"),
+                },
+            ),
+        ]
+    
+    def _generate_examples(self, path):
+        with open(path, encoding="utf-8") as f:
+            for _id, line in enumerate(f):
+                yield _id, { "text": line.strip() }