Datasets:

s3prl
/

superb

Tasks:

Automatic Speech Recognition

Audio Classification

Modalities:

Formats:

Sub-tasks:

keyword-spotting

speaker-identification

audio-intent-classification

Languages:

Size:

ArXiv:

Tags:

query-by-example-spoken-term-detection

audio-slot-filling

speaker-diarization

automatic-speaker-verification

Libraries:

License:

Dataset card Data Studio Files Files and versions

lhoestq HF Staff commited on Jan 14

Commit

0fe9dad

·

verified ·

1 Parent(s): acad3a1

Update superb.py

Files changed (1) hide show

superb.py +2 -2

superb.py CHANGED Viewed

@@ -368,7 +368,7 @@ class Superb(datasets.GeneratorBasedBuilder):
                     name=datasets.Split.VALIDATION,
                     gen_kwargs={"archive_path": archive_path, "split": 2},
                 ),
-                datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"archive_path": manual_dir, "split": 3}),
             ]
         elif self.config.name == "sd":
             splits = ["train", "dev", "test"]
@@ -393,7 +393,7 @@ class Superb(datasets.GeneratorBasedBuilder):
             return [
                 datasets.SplitGenerator(
                     name=f"session{i}",
-                    gen_kwargs={"archive_path": manual_dir, "split": i},
                 )
                 for i in range(1, 6)
             ]

                     name=datasets.Split.VALIDATION,
                     gen_kwargs={"archive_path": archive_path, "split": 2},
                 ),
+                datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"archive_path": archive_path, "split": 3}),
             ]
         elif self.config.name == "sd":
             splits = ["train", "dev", "test"]
             return [
                 datasets.SplitGenerator(
                     name=f"session{i}",
+                    gen_kwargs={"archive_path": archive_path, "split": i},
                 )
                 for i in range(1, 6)
             ]