upd api

GZ_IsoTech.py

@@ -4,11 +4,9 @@ import hashlib
 import datasets
 from datasets.tasks import AudioClassification
 
-_DBNAME = os.path.basename(__file__).split(".")[0]
+_HOMEPAGE = f"https://www.modelscope.cn/datasets/ccmusic-database/{os.path.basename(__file__)[:-3]}"
 
-_DOMAIN = f"https://www.modelscope.cn/api/v1/datasets/ccmusic-database/{_DBNAME}/repo?Revision=master&FilePath=data"
-
-_HOMEPAGE = f"https://www.modelscope.cn/datasets/ccmusic-database/{_DBNAME}"
+_DOMAIN = f"{_HOMEPAGE}/resolve/master/data"
 
 _NAMES = {
     "vibrato": ["颤音", "chan4_yin1"],
@@ -21,7 +19,6 @@ _NAMES = {
     "plucks": ["勾, 打, 抹, 托, ...", "gou1/da3/mo3/tuo1/etc"],
 }
 
-
 _URLS = {
     "audio": f"{_DOMAIN}/audio.zip",
     "mel": f"{_DOMAIN}/mel.zip",
@@ -71,6 +68,7 @@ class GZ_IsoTech(datasets.GeneratorBasedBuilder):
                 item_id = self._str2md5(cls + fname.split(".wa")[0])
                 if splt == "train":
                     train_files[item_id] = {"audio": path}
+
                 else:
                     test_files[item_id] = {"audio": path}
 
@@ -83,6 +81,7 @@ class GZ_IsoTech(datasets.GeneratorBasedBuilder):
                 item_id = self._str2md5(cls + fname.split(".jp")[0])
                 if splt == "train":
                     train_files[item_id]["mel"] = path
+
                 else:
                     test_files[item_id]["mel"] = path
 
@@ -90,7 +89,6 @@ class GZ_IsoTech(datasets.GeneratorBasedBuilder):
         testset = list(test_files.values())
         random.shuffle(trainset)
         random.shuffle(testset)
-
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,

README.md

@@ -93,7 +93,7 @@ for item in ds["test"]:
 
 ## Maintenance
 ```bash
-GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:datasets/ccmusic-database/GZ_IsoTech
+git clone git@hf.co:datasets/ccmusic-database/GZ_IsoTech
 cd GZ_IsoTech
 ```