Update parquet files

README.md

@@ -1,33 +0,0 @@
----
-pretty_name: CMU ARCTIC X-Vectors
-task_categories:
-- text-to-speech
-- audio-to-audio
-license: mit
----
-
-# Speaker embeddings extracted from CMU ARCTIC
-
-There is one `.npy` file for each utterance in the dataset, 7931 files in total. The speaker embeddings are 512-element X-vectors.
-
-The [CMU ARCTIC](http://www.festvox.org/cmu_arctic/) dataset divides the utterances among the following speakers:
-
-- bdl (US male)
-- slt (US female)
-- jmk (Canadian male)
-- awb (Scottish male)
-- rms (US male)
-- clb (US female)
-- ksp (Indian male)
-
-The X-vectors were extracted using [this script](https://huggingface.co/mechanicalsea/speecht5-vc/blob/main/manifest/utils/prep_cmu_arctic_spkemb.py), which uses the `speechbrain/spkrec-xvect-voxceleb` model.
-
-Usage:
-
-```python
-from datasets import load_dataset
-embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
-
-speaker_embeddings = embeddings_dataset[7306]["xvector"]
-speaker_embeddings = torch.tensor(speaker_embeddings).unsqueeze(0)
-```

cmu-arctic-xvectors.py

@@ -1,45 +0,0 @@
-# coding=utf-8
-
-import os
-import numpy as np
-import datasets
-
-
-_DATA_URL = "https://huggingface.co/datasets/Matthijs/cmu-arctic-xvectors/resolve/main/spkrec-xvect.zip"
-
-
-class ArcticXvectors(datasets.GeneratorBasedBuilder):
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="default",
-            version=datasets.Version("0.0.1", ""),
-            description="",
-        )
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            features=datasets.Features(
-                {
-                    "filename": datasets.Value("string"),
-                    "xvector": datasets.Sequence(feature=datasets.Value(dtype="float32"), length=512),
-                }
-            ),
-        )
-
-    def _split_generators(self, dl_manager):
-        archive = os.path.join(dl_manager.download_and_extract(_DATA_URL), "spkrec-xvect")
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION, gen_kwargs={"files": dl_manager.iter_files(archive)}
-            ),
-        ]
-
-    def _generate_examples(self, files):
-        for i, file in enumerate(sorted(files)):
-            if os.path.basename(file).endswith(".npy"):
-                yield str(i), {
-                    "filename": os.path.basename(file)[:-4],  # strip off .npy
-                    "xvector": np.load(file),
-                }

spkrec-xvect.zip → default/cmu-arctic-xvectors-validation.parquet

@@ -1,3 +1,3 @@
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-size 17943510
+oid sha256:9521dad9a9dcb0237598fde11ae880502cdc3d4a7f5b9fd135f6bdc88d00e4b2
+size 21283426