Revert to the previous version

malayalam_wiki.py

@@ -1,8 +1,10 @@
+import random 
+import os
 import re
 
 import datasets
 
-logger = datasets.logging.get_logger(__name__)
+from datasets.tasks import TextClassification
 
 _DESCRIPTION = """\
 Common Crawl - Malayalam.
@@ -18,7 +20,8 @@ _CITATION = """\
 """
 
 _URLs = {
-    "malayalam_wiki": "https://huggingface.co/datasets/rajeshradhakrishnan/malayalam_2020_wiki/raw/main/",
+    "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"
 }
 
 
@@ -44,6 +47,11 @@ class MalayalamWiki(datasets.GeneratorBasedBuilder):
         ),
     ]
 
+
+    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]'
@@ -55,19 +63,6 @@ class MalayalamWiki(datasets.GeneratorBasedBuilder):
         txt = re.sub(english_ignore_regex, '',txt) + " "
         return txt
 
-    def getfilenames(self, baseurl):
-        wiki_data_files = []
-        for i in range(20):
-            zeros = '00000'
-            if i > 9: 
-                zeros = '0000'
-
-            file1 = baseurl + zeros + str(i) + '_html_body.txt'
-            file2 = baseurl + zeros + str(i) + '_heading_para.txt'
-            wiki_data_files.append(file1)
-            wiki_data_files.append(file2)
-        return wiki_data_files
-
     def _info(self):
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
@@ -83,21 +78,40 @@ class MalayalamWiki(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
-        data_urls = self.getfilenames( _URLs[self.config.name])
-        downloaded_files = dl_manager.download(data_urls)
+        # 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)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "filepaths": downloaded_files
+                    "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",
                 },
             )
         ]
 
-    def _generate_examples(self, filepaths):
-        """This function returns the examples in the raw (text) form by iterating on all the files."""
-        for file_id, file in enumerate(filepaths):
-            logger.info("generating examples from = %s", file)
+    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()}
+                    yield  f"{file_id}_{row_id}", {"text": self.remove_special_characters(row).strip()}