metadata

dataset_info:
  features:
    - name: text
      dtype: string
    - name: phoneme
      dtype: string
  splits:
    - name: train
      num_bytes: 1270672
      num_examples: 16282
    - name: validation
      num_bytes: 351212
      num_examples: 1401
    - name: word_validation
      num_bytes: 50193
      num_examples: 817
    - name: sentence_validation
      num_bytes: 301019
      num_examples: 584
  download_size: 787646
  dataset_size: 1973096
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: word_validation
        path: data/word_validation-*
      - split: sentence_validation
        path: data/sentence_validation-*
task_categories:
  - text2text-generation
  - translation
language:
  - th
tags:
  - g2p
license: other
size_categories:
  - 10K<n<100K

Small Thai G2P Dataset

Usage:

import datasets
ds = datasets.load_dataset("B-K/thai-g2p", split="train")
for example in ds:
  print(example["text"], example["phoneme"])

Files in raw/:

CC BY-SA-4.0:
- thai_seg_cleaned.tsv
- thai_seg.tsv
Apache-2.0:
- thai_sentence_phoneme.csv