Delete wikipedia_bn.py

wikipedia_bn.py

@@ -1,75 +0,0 @@
-"""Bengali wikipedia from 03/20/2021"""
-
-import os
-import pyarrow.parquet as pq
-
-import datasets
-
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_CITATION = """\
-@ONLINE {wikidump,
-    author = {Wikimedia Foundation},
-    title  = {Wikimedia Downloads},
-    url    = {https://dumps.wikimedia.org}
-}
-"""
-
-_DESCRIPTION = """\
-Bengali Wikipedia from the dump of 03/20/2021.
-The data was processed using the huggingface datasets wikipedia script early april 2021.
-The dataset was built from the Wikipedia dump (https://dumps.wikimedia.org/).
-Each example contains the content of one full Wikipedia article with cleaning to strip
-markdown and unwanted sections (references, etc.).
-"""
-
-_LICENSE = (
-    "This work is licensed under the Creative Commons Attribution-ShareAlike "
-    "3.0 Unported License. To view a copy of this license, visit "
-    "http://creativecommons.org/licenses/by-sa/3.0/ or send a letter to "
-    "Creative Commons, PO Box 1866, Mountain View, CA 94042, USA."
-)
-
-_N_SHARDS = 10
-
-_URLS = {
-    "train": [f"data/20210320/shard-{i:05d}-of-{_N_SHARDS:05d}.parquet" for i in range(_N_SHARDS)],
-}
-
-
-class WikipediaBn(datasets.ArrowBasedBuilder):
-    """Bengali wikipedia from 03/20/2021"""
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "title": datasets.Value("string"),
-                    "text": datasets.Value("string"),
-                }
-            ),
-            supervised_keys=None,
-            homepage="https://dumps.wikimedia.org",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        downloaded_files = dl_manager.download(_URLS)
-
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": downloaded_files["train"]}),
-        ]
-
-    def _generate_tables(self, filepaths):
-        """This function returns the examples in the raw (text) form."""
-        for filepath in filepaths:
-            logger.info("generating examples from = %s", filepath)
-            filepath_id = os.path.basename(filepath)
-            with open(filepath, "rb") as f:
-                pf = pq.ParquetFile(f)
-                for i in range(pf.num_row_groups):
-                    id_ = f"{filepath_id}_{i}"
-                    yield id_, pf.read_row_group(i)