Finalize loading script, load from downloadable files from Minio instead of temporary public url

deep-research.py

@@ -14,9 +14,11 @@
 # TODO: Address all TODOs and remove all explanatory comments
 """TODO: Add a description here."""
 
+import boto3
+from botocore.client import Config
+from botocore import UNSIGNED
 
 import json
-import os
 
 import datasets
 
@@ -48,10 +50,17 @@ _LICENSE = ""
 # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
 # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
 _URLS = {
-    "train": "http://52.172.255.53:9000/hieutn/train.json?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=minioadmin%2F20230329%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230329T180411Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=eed62ec5b10293c9ddb162e36b5cc35e3439d2319b339c436f6c0bc6733f3693",
-    "dev": "http://52.172.255.53:9000/hieutn/dev.json?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=minioadmin%2F20230329%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230329T180434Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=432884ac2a1f1b9de5cbbca9c9453bf307878a88905c64b61482b4df262196ba"
+    "train": "train.json",
+    "dev": "dev.json"
 }
 
+storage_options = {"anon": True}
+
+def download_file(url, path):
+    s3_anonymous = boto3.client('s3',
+                    endpoint_url='http://52.172.255.53:9000',
+                    config=Config(signature_version=UNSIGNED))
+    s3_anonymous.download_file("hieutn", Key=url, Filename=path)
 
 # TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
 class NewDataset(datasets.GeneratorBasedBuilder):
@@ -115,7 +124,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
         # urls = _URLS[self.config.name]
-        data_dir = dl_manager.download_and_extract(_URLS)
+        data_dir = dl_manager.download_custom(_URLS, download_file)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,