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README.md
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list: string
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length: 4
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- name: word_heads
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list: string
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length: 1
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dtype: string
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- name: max_len
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dtype: int32
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- name: phn
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list: int16
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length: 150
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- name: phone_label
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list: float32
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length: 150
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- name: phone_weight
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list: float32
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length: 150
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- name: n_vendors
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list: uint8
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length: 150
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- name: word_id
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list: int16
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length: 150
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- name: word_acc
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list: float32
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length: 150
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- name: word_weight
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list: float32
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length: 150
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- name: msdd_type
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list: int16
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length: 150
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- name: msdd_sub
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list: int16
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length: 150
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- name: utt_label
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list: float32
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length: 4
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- name: utt_weight
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list: float32
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length: 4
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- name: utt_nv
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list: uint8
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length: 4
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- name: feat
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dtype:
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array2_d:
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shape:
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dtype: float32
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- name: occ
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list: float32
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length: 150
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- name: dur
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list: float32
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length: 150
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- name: eng
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dtype:
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array2_d:
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dtype: float32
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- name: wavlm
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dtype:
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array2_d:
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shape:
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- 150
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- 1024
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dtype: float16
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- name: wavlm_layer
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dtype: int32
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splits:
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- name: train
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num_bytes: 1702194410
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num_examples: 4643
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- name: val
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num_bytes: 213004937
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num_examples: 581
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- name: test_unseen_speakers
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num_bytes: 212636082
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num_examples: 580
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- name: test_unseen_prompts
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num_bytes: 204225936
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num_examples: 557
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download_size: 2344416926
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dataset_size: 2332061365
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: val
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path: data/val-*
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- split: test_unseen_speakers
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path: data/test_unseen_speakers-*
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- split: test_unseen_prompts
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path: data/test_unseen_prompts-*
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---
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---
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language:
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- en
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pretty_name: "VuiHoc GOPT Gold Features (GOP-80d + Prosody-8d + WavLM-1024d)"
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tags:
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- goodness-of-pronunciation
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- pronunciation-assessment
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- wavlm
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- gopt
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size_categories:
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- 1K<n<10K
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---
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# VuiHoc GOPT Gold Features (Đã trích xuất đầy đủ Feature)
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Dataset GOPT VuiHoc Gold (6,361 câu) đã được trích xuất sẵn toàn bộ Feature trên GPU:
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- `feat` [150, 80]: KoelLabs-GOP (log-posterior ratio normalized)
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- `occ` [150]: Soft occupancy
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- `dur` [150] + `eng` [150, 7]: Prosody 8-d (Viterbi forced alignment + RMSE energy)
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- `wavlm` [150, 1024]: WavLM-large Layer 12 pooled per-phone (fp16)
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- Nhãn: `phn`, `phone_label`, `word_acc`, `utt_label`, `msdd_type`, `msdd_sub`
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## Load trực tiếp để train
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```python
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from datasets import load_dataset
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ds = load_dataset("tiennguyenbnbk/gopt-vh-gold-features")
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```
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