update hit.py

hit.py

@@ -50,6 +50,7 @@ _LICENSE = "see https://huggingface.co/datasets/varora/HIT/blob/main/README.md"
 # TODO: Add link to the official dataset URLs here
 # 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)
+_BASE_URL = "https://huggingface.co/datasets/varora/HIT/tree/main"
 _PATHS = {
     "male": "/male",
     "female": "/female",
@@ -111,14 +112,17 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
         # 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
-        data_urls = _PATHS[self.config.name]
+        rel_path = _PATHS[self.config.name]
+        data_urls = os.path.join(_BASE_URL, rel_path)
+        print(f"data url: {data_urls}")
         archive_paths = dl_manager.download(data_urls)
+        print*a
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_urls, "train"),
+                    "filepath": os.path.join(rel_path, "train"),
                     "split": "train",
                 },
             ),
@@ -126,7 +130,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_urls, "val"),
+                    "filepath": os.path.join(rel_path, "val"),
                     "split": "validation",
                 },
             ),
@@ -134,7 +138,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_urls, "test"),
+                    "filepath": os.path.join(rel_path, "test"),
                     "split": "test"
                 },
             ),
@@ -145,6 +149,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
         # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
         # List all files in the path .gz
+        print(f"file path {filepath}")
         file_paths = []
         for root, dirs, files in os.walk(filepath):
             for file in files: