Updated for streaming dataset

malayalam_wiki.py

@@ -1,10 +1,10 @@
-import random 
 import os
 import re
 
 import datasets
 
-from datasets.tasks import TextClassification
+
+logger = datasets.logging.get_logger(__name__)
 
 _DESCRIPTION = """\
 Common Crawl - Malayalam.
@@ -20,8 +20,9 @@ _CITATION = """\
 """
 
 _URLs = {
-    "malayalam_wiki_1": "https://calicut.qburst.in/commoncrawl/malayalam/2020-10/malayalam_filtered_html_body.tar.gz",
-    "malayalam_wiki_2": "https://calicut.qburst.in/commoncrawl/malayalam/2020-10/unfiltered_heading_and_para.tar.gz"
+ "malayalam_wiki_2020": "https://huggingface.co/datasets/rajeshradhakrishnan/malayalam_2020_wiki/resolve/main/",
+ "checksum_url": "https://huggingface.co/datasets/rajeshradhakrishnan/malayalam_2020_wiki/resolve/main/ml_sha256.txt"
+
 }
 
 
@@ -43,15 +44,11 @@ class MalayalamWiki(datasets.GeneratorBasedBuilder):
 
     BUILDER_CONFIGS = [
         MalayalamWikiConfig(
-            name="malayalam_wiki", version=VERSION, description="Common Crawl - Malayalam."
+            name="malayalam_wiki_2020", version=VERSION, description="Common Crawl - Malayalam."
         ),
     ]
 
 
-    def partition (self, list_in, n):
-        random.shuffle(list_in)
-        return [list_in[i::n] for i in range(n)]
-
     def remove_special_characters(self, txt):
         chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\“\%\‘\”\�Utrnle\_]'
         unicode_ignore_regex = r'[\u200e\u200c\u200d]'
@@ -78,40 +75,20 @@ class MalayalamWiki(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
-        # TODO:  implement iter_archive() instead of download_and_extract
-        dl_path = dl_manager.download_and_extract(_URLs)
-        files = sorted(os.listdir(os.path.join(dl_path["malayalam_wiki_1"],"malayalam_filtered_html_body")))
-        file_paths = [os.path.join(dl_path["malayalam_wiki_1"], "malayalam_filtered_html_body" , file) for file in files]
-        files = sorted(os.listdir(os.path.join(dl_path["malayalam_wiki_2"],"unfiltered_heading_and_para")))
-        wiki_2 = [os.path.join(dl_path["malayalam_wiki_2"],"unfiltered_heading_and_para",  file) for file in files]
-        file_paths.extend(wiki_2)
-        filepaths_splice = self.partition(file_paths,3)
+        checksum_url = _URLs["checksum_url"]
+        checksum_file = dl_manager.download(checksum_url)
+        with open(checksum_file, encoding="utf-8") as f:
+            data_filenames = [line.strip() for line in f if line]
+            data_urls = [_URLs["malayalam_wiki_2020"] + data_filename for data_filename in data_filenames[1:2]]
+        downloaded_files = dl_manager.download(data_urls)
         return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": filepaths_splice[0],
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": filepaths_splice[1],
-                    "split": "validation",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": filepaths_splice[2],
-                    "split": "test",
-                },
-            )
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": downloaded_files}),
         ]
 
-    def _generate_examples(self, filepath):
-        for file_id, file in enumerate(filepath):
-            with open(file, encoding="utf-8") as f:
-                for row_id, row in enumerate(f):
-                    yield  f"{file_id}_{row_id}", {"text": self.remove_special_characters(row).strip()}
+    def _generate_examples(self, filepaths):
+        """This function returns the examples in the raw (text) form by iterating on all the files."""
+        for file_id,filepath in enumerate(filepaths):
+            logger.info("generating examples from = %s", filepath)
+            with open(filepath, encoding="utf-8") as f:
+                  for row_id, row in enumerate(f):
+                      yield  f"{file_id}_{row_id}", {"text": self.remove_special_characters(row).strip()}