dataset for voxtream experiments

README.md

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+## ATC TTS Voxtream Dataset
+
+This dataset is prepared for training the Voxtream TTS model and follows the format of [herimor/voxtream-train-9k](https://huggingface.co/datasets/herimor/voxtream-train-9k).
+
+**Source:**
+Based on the Singaporean SG Eleven dataset: [aether-raid/sg-aviation-el-combined](https://huggingface.co/datasets/aether-raid/sg-aviation-el-combined)
+
+**Description:**
+- All features are provided as single batched `.npy` files:
+	- `mimi_codes_16cb.npy`: Mimi codec tokens (16 codebooks)
+	- `phone_emb_indices.npy`: Alignment of phoneme tokens to Mimi frames
+	- `phone_tokens.npy`: Phoneme tokens
+	- `sem_label_shifts.npy`: Monotonic phoneme alignment labels
+	- `spk_templates.npy`: Speaker templates (first 3 seconds, if available)
+- `uids.npy` contains the list of utterance IDs, matching the batch dimension of all features.
+
+**Usage:**
+See [herimor/voxtream-train-9k](https://huggingface.co/datasets/herimor/voxtream-train-9k) for loading and training examples.
+
+**License:**
+See original dataset for licensing and usage restrictions.

dataset/mimi_codes_16cb.npy

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dataset/phone_emb_indices.npy

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dataset/phone_tokens.npy

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dataset/sem_label_shifts.npy

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dataset/spk_templates.npy

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dataset/uids.npy

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