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README.md

@@ -2,4 +2,16 @@
 
 This dataset contains discrete speech unit representations with various augmentations.
 
-Columns: id, tokens, text, augmentation
+## Dataset Structure
+- 128 total examples
+
+## Columns
+- `id`: Sample identifier
+- `tokens`: Discrete speech unit tokens
+- `text`: Transcription text
+- `augmentation`: Type of augmentation applied
+
+## Augmentations
+specaugment, gaussian_noise, speed_perturbation, original
+
+```

dataset_card.yaml

@@ -4,12 +4,7 @@ language:
 license: cc-by-4.0
 task_categories:
 - speech-processing
-task_ids:
-- speech-representation
-size_categories:
-- 100K<n<1M
 tags:
 - speech
 - discrete-units
-- augmentation
 ---

dsu_dataset.py

@@ -2,14 +2,14 @@
 import json
 import datasets
 
-_DESCRIPTION = "Discrete Speech Units Dataset"
-
 class DsuDataset(datasets.GeneratorBasedBuilder):
-    DEFAULT_CONFIG_NAME = "default"
+    """Discrete Speech Units dataset"""
+    
+    VERSION = datasets.Version("1.0.0")
     
     def _info(self):
         return datasets.DatasetInfo(
-            description=_DESCRIPTION,
+            description="Discrete Speech Units Dataset",
             features=datasets.Features({
                 "id": datasets.Value("string"),
                 "tokens": datasets.Sequence(datasets.Value("int32")),
@@ -22,17 +22,17 @@ class DsuDataset(datasets.GeneratorBasedBuilder):
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": "train.json"},
+                gen_kwargs={"filepath": "data/train.json"},
             )
         ]
 
     def _generate_examples(self, filepath):
-        with open(filepath, "r", encoding="utf-8") as f:
+        with open(filepath, encoding="utf-8") as f:
             data = json.load(f)
-            for i, example in enumerate(data):
+            for i, item in enumerate(data):
                 yield i, {
-                    "id": example["id"],
-                    "tokens": example["tokens"],
-                    "text": example["text"],
-                    "augmentation": example["augmentation"],
+                    "id": item["id"],
+                    "tokens": item["tokens"],
+                    "text": item["text"],
+                    "augmentation": item["augmentation"],
                 }