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README.md

@@ -1,41 +1,12 @@
+# Discrete Speech Units Dataset
+            This dataset contains discrete speech unit representations with various augmentations.
 
-                        # Discrete Speech Units Dataset
+            ## Dataset Structure
+            - Train: 231 examples
+            - Test: 25 examples
 
-                        This dataset contains discrete representations of speech units with various augmentations.
+            Features: id, tokens, text, augmentation
 
-                        ## Dataset Structure
-
-                        The dataset contains 128 examples with the following columns:
-                        - `id`: Unique identifier for each example
-                        - `tokens`: Discrete token sequences
-                        - `text`: Textual transcriptions
-                        - `augmentation`: Type of augmentation applied
-
-                        ## Augmentations
-
-                        The following augmentations are included:
-                        specaugment, gaussian_noise, speed_perturbation, original
-
-                        ## Metadata
-
-                        ```json
-                        {
-  "specaugment": {
-    "vocab_size": 2000,
-    "augmentation": "specaugment"
-  },
-  "gaussian_noise": {
-    "vocab_size": 2000,
-    "augmentation": "gaussian_noise"
-  },
-  "speed_perturbation": {
-    "vocab_size": 2000,
-    "augmentation": "speed_perturbation"
-  },
-  "original": {
-    "vocab_size": 2000,
-    "augmentation": "original"
-  }
-}
-                        ```
-                                    
+            ## Augmentations
+            specaugment, gaussian_noise, combined_dataset, speed_perturbation, original
+            

dataset_card.yaml

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+---
+            language: [en]
+            license: cc-by-4.0
+            task_categories: [speech-processing]
+            ---

test/data-00000-of-00001.arrow

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+size 106984

test/dataset_info.json

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+{
+  "citation": "",
+  "description": "",
+  "features": {
+    "id": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "tokens": {
+      "feature": {
+        "dtype": "int64",
+        "_type": "Value"
+      },
+      "_type": "Sequence"
+    },
+    "text": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "augmentation": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": ""
+}

test/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "f70649c659389c50",
+  "_format_columns": [
+    "augmentation",
+    "id",
+    "text",
+    "tokens"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}

train/data-00000-of-00001.arrow

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+size 921768

train/dataset_info.json

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+{
+  "citation": "",
+  "description": "",
+  "features": {
+    "id": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "tokens": {
+      "feature": {
+        "dtype": "int64",
+        "_type": "Value"
+      },
+      "_type": "Sequence"
+    },
+    "text": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "augmentation": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": ""
+}

train/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "30f9dc661a791160",
+  "_format_columns": [
+    "augmentation",
+    "id",
+    "text",
+    "tokens"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}