Update README.md

README.md

@@ -36,16 +36,25 @@ def get_lang_preds(source_text, target_text):
         "target_predlang_conf": target_conf
     }
 
-def filter_file(file_path, num_proc=12):
-    time.sleep(1.0)
-    ds = load_dataset("json", data_files={"train": get_url(file_path)}, split="train")
-    amount_before = len(ds)
+def filter_file(file_path, num_proc=24):
+    time.sleep(2.0)
+    temp_file = "./temp.jsonl"
+    os.system(f"wget {get_url(file_path)} -O {temp_file}")
+    ds = load_dataset("json", data_files={"train": temp_file}, split="train")
     ds = ds.map(lambda x: get_lang_preds(x["source_text"], x["target_text"]), num_proc=num_proc)
     ds = ds.filter(lambda x: bool(x["source_lang"] == x["source_predlang_id"]) and bool(x["target_lang"] == x["target_predlang_id"]), num_proc=num_proc)
-    amount_after = len(ds)
-    return ds, amount_before, amount_after
+    return ds
 
 PARQUET_FOLDER = "./datasets/"
+api = HfApi(token="hf_YOUR_HF_TOKEN")
+
+def upload_folder():
+    api.upload_folder(
+        folder_path=PARQUET_FOLDER,
+        path_in_repo="data/", # Upload to a specific folder
+        repo_id="ptrdvn/opus_lid_filtered",
+        repo_type="dataset",
+    )
 
 def save_parquet(ds, file_path):
     ds.to_parquet(
@@ -56,10 +65,13 @@ get_url = lambda file_path: f"https://huggingface.co/datasets/MaLA-LM/mala-opus-
 
 def main():
 
-    api = HfApi(token="YOUR_TOKEN_HERE")
     fs = HfFileSystem()
 
-    lang_pairs = fs.ls("datasets/MaLA-LM/mala-opus-dedup-2410", detail=False)
+    lang_pairs = sorted(fs.ls("datasets/MaLA-LM/mala-opus-dedup-2410", detail=False))
+    prev_lang_pairs = sorted(fs.ls("datasets/ptrdvn/opus_lid_filtered/data", detail=False))
+    last_lang_pair = prev_lang_pairs[-1].split("/")[-1]
+    print(last_lang_pair)
+    lang_pairs = [x for x in lang_pairs if x.split("/")[-1] >= last_lang_pair]
 
     data_amounts = []
 
@@ -67,25 +79,30 @@ def main():
         file_paths = fs.ls(lang_pair,detail=False)
         num_uploads = 0
         for file_path in file_paths:
-            ds, amount_before, amount_after = filter_file(file_path)
-            data_amounts.append({"file_path": file_path, "amount_before": amount_before, "amount_after": amount_after})
+            ds = filter_file(file_path)
             if len(ds) > 0:
                 save_parquet(ds, file_path)
 
-        # Upload to huggingface if there are more than 50 parquet files to mitigate rate limits
-        if len(glob("./datasets/*/*.parquet")) > 50:
+        # Upload to huggingface if there are more than 20 parquet files to mitigate rate limits
+        if len(glob("./datasets/*/*.parquet")) > 20:
             print("Sleeping for 10 seconds")
             time.sleep(10)
-            print("Uploading folder")
-            api.upload_folder(folder_path=PARQUET_FOLDER, path_in_repo="data/", repo_id="ptrdvn/opus_lid_filtered", repo_type="dataset")
+            print("Uploading folder", file_path.split("/")[-2])
+            upload_folder()
             os.system("rm -rf " + PARQUET_FOLDER)
 
-        os.system("rm -rf ~/.cache/huggingface")
+        os.system("rm -rf ~/.cache/huggingface/datasets")
         print("Finished with", file_path.split("/")[-2] + ".parquet")
 
-    api.upload_folder(folder_path=PARQUET_FOLDER, path_in_repo="data/", repo_id="ptrdvn/opus_lid_filtered", repo_type="dataset")
-    Dataset.from_list(data_amounts).push_to_hub("ptrdvn/opus_lid_filtered_data_amounts")
+    upload_folder()
 
-main()
+while True:
+    try:
+        main()
+    except Exception as e:
+        print("MAIN LOOP ERROR")
+        print(e)
+        time.sleep(180)
+        upload_folder()
 
 ```