Wikipedia download script for MLPerf BERT training (#4202)

* wikipedia download script

* add link

* checksum valueError

* ops

.gitignore

@@ -24,6 +24,7 @@ disassemblers/cuda_ioctl_sniffer
 extra/datasets/cifar-10-python.tar.gz
 extra/datasets/librispeech/
 extra/datasets/imagenet/
+extra/datasets/wiki/
 extra/datasets/kits19
 extra/datasets/kits19/
 extra/datasets/squad/

extra/datasets/wikipedia_download.py

@@ -0,0 +1,53 @@
+# pip install gdown
+# Downloads the 2020 wikipedia dataset used for MLPerf BERT training
+import os, hashlib
+from pathlib import Path
+import tarfile
+import gdown
+from tqdm import tqdm
+from tinygrad.helpers import getenv
+
+def gdrive_download(url:str, path:str): 
+  if not os.path.exists(path): gdown.download(url, path)
+
+def wikipedia_uncompress_and_extract(file:str, path:str, small:bool=False):
+  if not os.path.exists(os.path.join(path, "results4")):
+    print("Uncompressing and extracting file...")
+    with tarfile.open(file, 'r:gz') as tar:
+      tar.extractall(path=path)
+      os.remove(file)
+      if small:
+        for member in tar.getmembers(): tar.extract(path=path, member=member)
+      else:
+        for member in tqdm(iterable=tar.getmembers(), total=len(tar.getmembers())): tar.extract(path=path, member=member)
+
+def verify_checksum(folder_path:str, checksum_path:str):
+  print("Verifying checksums...")
+  with open(checksum_path, 'r') as f:
+    for line in f:
+      expected_checksum, folder_name = line.split()
+      file_path = os.path.join(folder_path, folder_name[2:]) # remove './' from the start of the folder name
+      hasher = hashlib.md5()
+      with open(file_path, 'rb') as f:
+        for buf in iter(lambda: f.read(4096), b''): hasher.update(buf)
+      if hasher.hexdigest() != expected_checksum:
+        raise ValueError(f"Checksum does not match for file: {file_path}")
+  print("All checksums match.")
+
+def download_wikipedia(path:str):
+  # Links from: https://github.com/mlcommons/training/blob/master/language_model/tensorflow/bert/dataset.md
+  os.makedirs(path, exist_ok=True)
+  gdrive_download("https://drive.google.com/uc?id=1fbGClQMi2CoMv7fwrwTC5YYPooQBdcFW", os.path.join(path, "bert_config.json"))
+  gdrive_download("https://drive.google.com/uc?id=1USK108J6hMM_d27xCHi738qBL8_BT1u1", os.path.join(path, "vocab.txt"))
+  gdrive_download("https://drive.google.com/uc?id=1pJhVkACK3p_7Uc-1pAzRaOXodNeeHZ7F", os.path.join(path, "model.ckpt-28252.data-00000-of-00001"))
+  gdrive_download("https://drive.google.com/uc?id=1oVBgtSxkXC9rH2SXJv85RXR9-WrMPy-Q", os.path.join(path, "model.ckpt-28252.index"))
+  with open(os.path.join(path, "checkpoint"), "w") as f: f.write('model_checkpoint_path: "model.ckpt-28252"\nall_model_checkpoint_paths: "model.ckpt-28252"')
+  if getenv("WIKI_TRAIN", 0):
+    gdrive_download("https://drive.google.com/uc?id=1tmMgLwoBvbEJEHXh77sqrXYw5RpqT8R_", os.path.join(path, "bert_reference_results_text_md5.txt"))
+    gdrive_download("https://drive.google.com/uc?id=14xV2OUGSQDG_yDBrmbSdcDC-QGeqpfs_", os.path.join(path, "results_text.tar.gz"))
+    wikipedia_uncompress_and_extract(os.path.join(path, "results_text.tar.gz"), path)
+    if getenv("VERIFY_CHECKSUM", 0): 
+      verify_checksum(os.path.join(path, "results4"), os.path.join(path, "bert_reference_results_text_md5.txt"))
+
+if __name__ == "__main__": 
+  download_wikipedia(getenv("BASEDIR", os.path.join(Path(__file__).parent / "wiki")))