clean

wikipedia_html_enterprise.py

@@ -17,18 +17,9 @@
 """Wikipedia dataset containing cleaned articles of all languages."""
 
 
-import bz2
-import codecs
 import json
-import re
-import xml.etree.cElementTree as etree
-from urllib.parse import quote
-import mwparserfromhell
-from multiprocess import Process, Manager
 from tqdm import tqdm
-import multiprocessing
 import datasets
-from functools import partial
 from pathlib import Path
 
 logger = datasets.logging.get_logger(__name__)
@@ -38,19 +29,13 @@ _CITATION = """"""
 
 _DESCRIPTION = """"""
 
-_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."
-)
-
-_INFO_FILE = "dumpstatus.json"
+_LICENSE = """"""
 
 
 _VERSION = datasets.Version("2.0.0", "")
 _NUM_SPLITS = 68
 
+
 class WikipediaConfig(datasets.BuilderConfig):
     """BuilderConfig for Wikipedia."""
 
@@ -102,15 +87,17 @@ class Wikipedia(datasets.GeneratorBasedBuilder):
                         "identifier": datasets.Value("string"),
                         "url": datasets.Value("string"),
                     },
-                    "is_part_of"   : {
+                    "is_part_of": {
                         "name": datasets.Value("string"),
                         "identifier": datasets.Value("string"),
                     },
-                    "license":[ {
-                        "name": datasets.Value("string"),
-                        "url": datasets.Value("string"),
-                        "identifier": datasets.Value("string"),
-                    }]
+                    "license": [
+                        {
+                            "name": datasets.Value("string"),
+                            "url": datasets.Value("string"),
+                            "identifier": datasets.Value("string"),
+                        }
+                    ],
                 }
             ),
             # No default supervised_keys.
@@ -120,58 +107,33 @@ class Wikipedia(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        data_paths = [ 
-            Path(self.config.data_dir) / f"enwiki_{self.config.shard}.ndjson"
-        ]
+        data_paths = [Path(self.config.data_dir) / f"enwiki_{self.config.shard}.ndjson"]
         return [
             datasets.SplitGenerator(  # pylint:disable=g-complex-comprehension
                 name=datasets.Split.TRAIN, gen_kwargs={"filepaths": data_paths}
             )
         ]
 
-    def _generate_examples(self, filepaths, ):
-          
-
-        print("Parsing and cleaning Wikipedia examples")
-
+    def _generate_examples(
+        self,
+        filepaths,
+    ):
         for filepath in filepaths:
-            with open(filepath, 'r') as f:
+            with open(filepath, "r") as f:
                 for line in tqdm(f):
                     example = json.loads(line)
                     clean_example = {}
-                    clean_example['name'] = example['name']
-                    clean_example['identifier'] = example['identifier']
-                    clean_example['date_modified'] = example['date_modified']
-                    clean_example['namespace_name'] = example['namespace']["name"]
-                    clean_example['namespace_identifier'] = example['namespace']["identifier"]
+                    clean_example["name"] = example["name"]
+                    clean_example["identifier"] = example["identifier"]
+                    clean_example["date_modified"] = example["date_modified"]
+                    clean_example["namespace_name"] = example["namespace"]["name"]
+                    clean_example["namespace_identifier"] = example["namespace"]["identifier"]
                     clean_example["categories"] = example.get("categories", None)
-                    clean_example['url'] = example['url']
-                    clean_example['html'] = f'{example["article_body"]["html"]}'
-                    clean_example['wikitext'] = example['article_body']['wikitext']
-                    clean_example['in_language'] = example['in_language']
-                    clean_example['main_entity'] = example.get('main_entity', None)
-                    clean_example['is_part_of'] = example['is_part_of']
-                    clean_example['license'] = example['license']
-                    yield clean_example['identifier'], clean_example
-        # num_processes = 16
-        # with multiprocessing.Pool(processes=num_processes) as pool:
-
-        #     results = pool.imap_unordered(partial(parse_and_clean), filepaths)
-        #     for result in results:
-        #         for example in result:
-        #             yield example
-
-def parse_and_clean(filepath):
-    examples = []
-    with open(filepath, 'r') as f:
-        for line in tqdm(f):
-            example = json.loads(line)
-            clean_example = {}
-            clean_example['id'] = example['identifier']
-            clean_example['date_modified'] = example['date_modified']
-            clean_example['url'] = example['url']
-            clean_example['html'] = f'{example["article_body"]["html"]}'
-            clean_example['wikitext'] = example['article_body']['wikitext']
-            
-            examples.append(clean_example)
-    return examples
+                    clean_example["url"] = example["url"]
+                    clean_example["html"] = f'{example["article_body"]["html"]}'
+                    clean_example["wikitext"] = example["article_body"]["wikitext"]
+                    clean_example["in_language"] = example["in_language"]
+                    clean_example["main_entity"] = example.get("main_entity", None)
+                    clean_example["is_part_of"] = example["is_part_of"]
+                    clean_example["license"] = example["license"]
+                    yield clean_example["identifier"], clean_example