Datasets:
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
no-annotation
Source Datasets:
original
Tags:
License:
| # 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. | |
| import os | |
| import datasets | |
| _CITATION = "" | |
| # You can copy an official description | |
| _DESCRIPTION = """\ | |
| The dataset is based on the Hutter Prize (http://prize.hutter1.net) and contains the first 10^8 bytes of English Wikipedia in 2006 in XML | |
| """ | |
| _HOMEPAGE = "http://mattmahoney.net/dc/textdata.html" | |
| _LICENSE = "" | |
| # The HuggingFace Datasets library doesn't host the datasets but only points to the original files. | |
| # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method) | |
| _URLS = {"source": "http://mattmahoney.net/dc/enwik8.zip"} | |
| class Enwik8(datasets.GeneratorBasedBuilder): | |
| VERSION = datasets.Version("1.1.0") | |
| BUILDER_CONFIGS = [ | |
| datasets.BuilderConfig( | |
| name="enwik8", | |
| version=VERSION, | |
| description="This version of the dataset contains a split by line version with all content", | |
| ), | |
| datasets.BuilderConfig( | |
| name="enwik8-raw", | |
| version=VERSION, | |
| description="This version of the dataset contains a raw string version split with all content", | |
| ), | |
| ] | |
| DEFAULT_CONFIG_NAME = "enwik8" | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "text": datasets.Value("string"), | |
| } | |
| ), | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| urls = _URLS["source"] | |
| data_dir = dl_manager.download_and_extract(urls) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "filepath": os.path.join(data_dir, "enwik8"), | |
| "split": "train", | |
| }, | |
| ) | |
| ] | |
| # method parameters are unpacked from `gen_kwargs` as given in `_split_generators` | |
| def _generate_examples(self, filepath, split): | |
| with open(filepath, encoding="utf-8") as f: | |
| if self.config.name.endswith("raw"): | |
| yield 0, {"text": f.read()} | |
| else: | |
| for key, line in enumerate(f): | |
| yield key, {"text": line.strip()} | |