fixed output

test/data-00000-of-00001.arrow

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f91790985ba565bfe73a1b31db8c445be125ac7edfc655c1c98453ab619e370e
-size 485808
+oid sha256:4b603d6459cfe4d38a0fa0fe32ef5afc97cd909bd5df52762d7e6050f4ba72a2
+size 487136

test/dataset_info.json

@@ -1,6 +1,12 @@
 {
+  "builder_name": "generator",
   "citation": "",
+  "config_name": "default",
+  "dataset_name": "generator",
+  "dataset_size": 4829573,
   "description": "",
+  "download_checksums": {},
+  "download_size": 0,
   "features": {
     "title": {
       "dtype": "string",
@@ -20,5 +26,20 @@
     }
   },
   "homepage": "",
-  "license": ""
+  "license": "",
+  "size_in_bytes": 4829573,
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 4829573,
+      "num_examples": 8000,
+      "dataset_name": "generator"
+    }
+  },
+  "version": {
+    "version_str": "0.0.0",
+    "major": 0,
+    "minor": 0,
+    "patch": 0
+  }
 }

test/state.json

@@ -4,10 +4,10 @@
       "filename": "data-00000-of-00001.arrow"
     }
   ],
-  "_fingerprint": "82a2f0e3fd5f277f",
+  "_fingerprint": "5567c9564854b97d",
   "_format_columns": null,
   "_format_kwargs": {},
   "_format_type": null,
   "_output_all_columns": false,
-  "_split": null
+  "_split": "train"
 }

train/data-00000-of-00001.arrow

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a8bf8171fe054fb5be592a2f60e06d2cce893fdf6db09c9c5d16cc4c945e1850
-size 4348768
+oid sha256:409bdc4ec87ac1b103ed1fe88f2881fbd171662b3384611617748d507ab00e28
+size 4346864

train/dataset_info.json

@@ -1,6 +1,12 @@
 {
+  "builder_name": "generator",
   "citation": "",
+  "config_name": "default",
+  "dataset_name": "generator",
+  "dataset_size": 4829573,
   "description": "",
+  "download_checksums": {},
+  "download_size": 0,
   "features": {
     "title": {
       "dtype": "string",
@@ -20,5 +26,20 @@
     }
   },
   "homepage": "",
-  "license": ""
+  "license": "",
+  "size_in_bytes": 4829573,
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 4829573,
+      "num_examples": 8000,
+      "dataset_name": "generator"
+    }
+  },
+  "version": {
+    "version_str": "0.0.0",
+    "major": 0,
+    "minor": 0,
+    "patch": 0
+  }
 }

train/state.json

@@ -4,10 +4,10 @@
       "filename": "data-00000-of-00001.arrow"
     }
   ],
-  "_fingerprint": "5a2d02e6a2e569cd",
+  "_fingerprint": "0666424ffc7baa8f",
   "_format_columns": null,
   "_format_kwargs": {},
   "_format_type": null,
   "_output_all_columns": false,
-  "_split": null
+  "_split": "train"
 }

wikiextract.py

@@ -7,6 +7,7 @@
     Author: Tarek Ziadé / Mozilla
 
 """
+import os
 from collections import defaultdict
 from concurrent.futures import ThreadPoolExecutor, as_completed
 from threading import Lock
@@ -162,7 +163,6 @@ class WikiExtractor:
             total=len(_ROOT_CATS) * _LIMIT_PER_CAT, desc="Processing Categories"
         ) as pbar:
             self.pbar = pbar
-            data = []
             with ThreadPoolExecutor(max_workers=15) as executor:
                 future_to_category = {
                     executor.submit(self.process_category, category): category
@@ -171,23 +171,21 @@ class WikiExtractor:
 
                 for future in as_completed(future_to_category):
                     category_data = future.result()
-                    data.extend(category_data)
-
-        return data
+                    for item in category_data:
+                        yield item
 
 
 def main():
     nltk.download("punkt")
     extractor = WikiExtractor()
-    data = extractor()
-    dataset = Dataset.from_pandas(pd.DataFrame(data))
+    dataset = Dataset.from_generator(extractor)
 
     train_test_split = dataset.train_test_split(test_size=0.1)
     dataset_dict = DatasetDict(
         {"train": train_test_split["train"], "test": train_test_split["test"]}
     )
 
-    dataset_dict.save_to_disk("topics.dataset")
+    dataset_dict.save_to_disk(os.path.dirname(__file__))
 
 
 if __name__ == "__main__":