| --- |
| language: vi |
| tags: |
| - audio |
| - speech |
| - features |
| - wav2vec2 |
| - representation |
| - tokenized |
| - alignment |
| - kmeans |
| license: mit |
| dataset_info: |
| features: |
| - name: domain |
| dtype: string |
| - name: text |
| dtype: string |
| - name: tokens |
| sequence: int64 |
| splits: |
| - name: wavjepa |
| num_bytes: 1165942742.0 |
| num_examples: 285032 |
| download_size: 225850764 |
| dataset_size: 1165942742.0 |
| configs: |
| - config_name: default |
| data_files: |
| - split: wavjepa |
| path: data/wavjepa-* |
| --- |
| |
| # Vietnamese Wav2Vec2 Feature & K-Means Tokenized Dataset |
|
|
| This repository contains the structured speech features and tokenized cluster indices for the target `pw733` and clean `viVoice` Vietnamese datasets, formatted as Parquet tables. |
|
|
| ## 📊 Dataset Schema |
| - **`audio_uuid`** (string): Unique identifier of the audio file. |
| - **`text`** (string): Transcription text (empty for raw `pw733` audio). |
| - **`features`** (list of list of float): Frame-level Wav2Vec2 embeddings (`[Num_Frames, 768]`). |
| - **`indices`** (list of int32): The mapped discrete token IDs matching the K-Means centroids (`[Num_Frames]`). |
| - **`dataset_origin`** (string): Source dataset name (`pw733` or `viVoice`). |
| |
| ## 🔗 Mapped K-Means Model |
| This dataset is tokenized using the 16,384 K-Means centroids hosted at: |
| 👉 **[giangndm/wav2vec2-vietnamese-kmeans-16384](https://huggingface.co/giangndm/wav2vec2-vietnamese-kmeans-16384)** |
| |
| ## 🚀 Usage |
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("giangndm/audio-confidence-alignment") |
| print(ds["train"][0]) |
| ``` |
| |
| --- |
| *Developed as part of the Multi-Project Voice Research Spike under `rd-lumi/luvox-vibe-research`.* |
| |
