Upload mumospee_small.py with huggingface_hub

mumospee_small.py

@@ -29,44 +29,6 @@ class MumospeeDatasetConfig(datasets.BuilderConfig):
         self.tag = tag
 
 
-
-
-# class SuperGlueConfig(datasets.BuilderConfig):
-#     """BuilderConfig for SuperGLUE."""
-
-#     def __init__(self, features, data_url, citation, url, label_classes=("False", "True"), **kwargs):
-#         """BuilderConfig for SuperGLUE.
-
-#         Args:
-#         features: *list[string]*, list of the features that will appear in the
-#             feature dict. Should not include "label".
-#         data_url: *string*, url to download the zip file from.
-#         citation: *string*, citation for the data set.
-#         url: *string*, url for information about the data set.
-#         label_classes: *list[string]*, the list of classes for the label if the
-#             label is present as a string. Non-string labels will be cast to either
-#             'False' or 'True'.
-#         **kwargs: keyword arguments forwarded to super.
-#         """
-#         # Version history:
-#         # 1.0.2: Fixed non-nondeterminism in ReCoRD.
-#         # 1.0.1: Change from the pre-release trial version of SuperGLUE (v1.9) to
-#         #        the full release (v2.0).
-#         # 1.0.0: S3 (new shuffling, sharding and slicing mechanism).
-#         # 0.0.2: Initial version.
-#         super().__init__(version=datasets.Version("1.0.2"), **kwargs)
-#         self.features = features
-#         self.label_classes = label_classes
-#         self.data_url = data_url
-#         self.citation = citation
-#         self.url = url
-
-
-
-
-
-
-
 class MumospeeDataset(datasets.GeneratorBasedBuilder):
     """Your custom dataset for Hugging Face based on the CSV metadata and audio URLs."""
 
@@ -117,15 +79,15 @@ class MumospeeDataset(datasets.GeneratorBasedBuilder):
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": csv_path, "split": "train", "language": None, "tag": None}
+                gen_kwargs={"filepath": csv_path}
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
-                gen_kwargs={"filepath": csv_path, "split": "validation", "language": None, "tag": None}
+                gen_kwargs={"filepath": csv_path}
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
-                gen_kwargs={"filepath": csv_path, "split": "test", "language": None, "tag": None}
+                gen_kwargs={"filepath": csv_path}
             ),
         ]
 
@@ -139,13 +101,15 @@ class MumospeeDataset(datasets.GeneratorBasedBuilder):
         data = pd.read_csv(filepath)
         # Filter by primary split
         split=self.config.split
-        data_split = data[data["split"] == split]
+      
 
         language=self.config.language
-        tag=self.config.language
+        tag=self.config.tag
 
         print(f"filepath is {filepath}, split is {split}, lang is {self.config.language}, tag is {self.config.tag}")
 
+
+        data_split = data[data["split"] == split]
         if language:
             data_split = data_split[data_split["language"] == language]
         if tag: