Create taiga.py

taiga.py

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+import datasets
+import zipfile
+import urllib.request
+import os
+
+
+logger = datasets.logging.get_logger(__name__)
+
+
+_DESCRIPTION = """\
+A colossal, cleaned version of Common Crawl's web crawl corpus.
+Based on Common Crawl dataset: "https://commoncrawl.org".
+This is the processed version of Google's mC4 dataset by AllenAI.
+"""
+
+_CITATION = """
+@article{2019t5,
+    author = {Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu},
+    title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
+    journal = {arXiv e-prints},
+    year = {2019},
+    archivePrefix = {arXiv},
+    eprint = {1910.10683},
+}
+"""
+
+_URL = "https://linghub.ru/static/Taiga/news.zip"
+
+_DATA_URL = "https://linghub.ru/static/Taiga/news.zip"
+
+
+class TaigaConfig(datasets.BuilderConfig):
+    """BuilderConfig for mC4."""
+
+    def __init__(self, *args, **kwargs):
+        """BuilderConfig for mC4.
+        Args:
+            languages (:obj:`List[str]`): list of languages to load
+            **kwargs: keyword arguments forwarded to super.
+        """
+        super().__init__(
+            *args,
+            name="taiga",
+            **kwargs,
+        )
+
+
+class Taiga(datasets.GeneratorBasedBuilder):
+    """mC4, a colossal, cleaned version of Common Crawl's web crawl corpus."""
+
+    BUILDER_CONFIGS = [TaigaConfig()]
+    BUILDER_CONFIG_CLASS = TaigaConfig
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                }
+            ),
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_file = dl_manager.download(['proza_ru2.zip', 'stihi_ru.zip', 'proza_ru1.zip'])
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": downloaded_file}),
+        ]
+
+    def _generate_examples(self, filepaths):
+        """This function returns the examples in the raw (text) form by iterating on all the files."""
+        id_ = 0
+        for filepath in filepaths:
+            logger.info("generating examples from = %s", filepath)
+            with zipfile.ZipFile(filehandle) as z:
+                for filename in z.namelist():
+                    if not os.path.isdir(filename) and '.txt' in filename.split('/') and len(filename.split('/')) > 2:
+                        # read the file
+                        with z.open(filename) as f:
+                            txt = f.read().decode('utf-8')
+                            yield id_, {'text': txt}
+                            id_ += 1