Update try.py

try.py

@@ -5,6 +5,8 @@ from datasets import DownloadManager, DatasetInfo
 from datasets.data_files import DataFilesDict
 import os
 import json
+from os.path import dirname, basename
+from pathlib import Path
 
 
 # ここに設定を記入
@@ -99,50 +101,40 @@ class LoadingScriptPractice(datasets.GeneratorBasedBuilder):
         # huggingfaceのディレクトリからデータを取ってくる
         hfh_dataset_info = HfApi().dataset_info(_NAME, revision=_REVISION, timeout=100.0)
 
-        train_metadata_paths = DataFilesDict.from_hf_repo(
+        metadata_urls = DataFilesDict.from_hf_repo(
             {datasets.Split.TRAIN: ["**"]},
             dataset_info=hfh_dataset_info,
             allowed_extensions=["jsonl", ".jsonl"],
         )
 
-        test_metadata_paths = DataFilesDict.from_hf_repo(
-            {datasets.Split.TEST: ["**"]},
-            dataset_info=hfh_dataset_info,
-            allowed_extensions=["jsonl", ".jsonl"],
-        )
-
         # **.zipのURLをDict型として取得？
-        train_data_url = DataFilesDict.from_hf_repo(
+        data_urls = DataFilesDict.from_hf_repo(
             {datasets.Split.TRAIN: ["**"]},
             dataset_info=hfh_dataset_info,
             allowed_extensions=["zip", ".zip"],
         )
 
-        test_data_url = DataFilesDict.from_hf_repo(
-            {datasets.Split.test: ["**"]},
-            dataset_info=hfh_dataset_info,
-            allowed_extensions=["zip", ".zip"],
-        )
+        data_paths = dict()
+        for path in data_path["train"]:
+            dname = dirname(path)
+            folder = basename(Path(dname))
+            data_paths[folder] = path
 
-        # 扱いやすいように再構成
-        data_path = {
-            "train" : train_data_url["train"][0],
-            "test" : test_data_url["test"][0]
-        }
+        metadata_paths = dict()
+        for path in data_path["train"]:
+            dname = dirname(path)
+            folder = basename(Path(dname))
+            metadata_paths[folder] = path
 
-        split_metadata_paths= {
-            "train" : train_metadata_paths["train"][0],
-            "test" : test_metadata_paths["test"][0]
-        }
         
         gs = []
-        for split, files in data_path.items():
+        for split, files in data_paths.items():
             '''
             split : "train" or "test" or "val"
             files : zip files
             '''
             # リポジトリからダウンロードしてとりあえずキャッシュしたURLリストを取得
-            split_metadata_path = dl_manager.download_and_extract(split_metadata_paths[split])
+            metadata_path = dl_manager.download_and_extract(metadata_paths[split])
             downloaded_files_path = dl_manager.download(files) 
             
             # 元のコードではzipファイルの中身を"filepath"としてそのまま_generate_exampleに引き渡している？
@@ -151,7 +143,7 @@ class LoadingScriptPractice(datasets.GeneratorBasedBuilder):
                   name = split, 
                   gen_kwargs={
                      "images" : dl_manager.iter_archive(downloaded_files_path), 
-                     "metadata_path": split_metadata_path
+                     "metadata_path": metadata_path
                      }
                   )
             )