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---
language:
- zh
- en
- ja
- ko
- id
- vi
- th
license: apache-2.0
size_categories:
- 10K<n<100K
task_categories:
- translation
pretty_name: traverl_qa
dataset_info:
- config_name: en-zh_tw
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 385263
num_examples: 2256
download_size: 124124
dataset_size: 385263
- config_name: id-zh_tw
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 407538
num_examples: 2256
download_size: 124778
dataset_size: 407538
- config_name: ja-zh_tw
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 441775
num_examples: 2256
download_size: 135723
dataset_size: 441775
- config_name: ko-zh_tw
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 414010
num_examples: 2256
download_size: 132364
dataset_size: 414010
- config_name: th-zh_tw
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 569121
num_examples: 2256
download_size: 166608
dataset_size: 569121
- config_name: vi-zh_tw
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 444668
num_examples: 2256
download_size: 138816
dataset_size: 444668
configs:
- config_name: en-zh_tw
data_files:
- split: train
path: en-zh_tw/train-*
- config_name: id-zh_tw
data_files:
- split: train
path: id-zh_tw/train-*
- config_name: ja-zh_tw
data_files:
- split: train
path: ja-zh_tw/train-*
- config_name: ko-zh_tw
data_files:
- split: train
path: ko-zh_tw/train-*
- config_name: th-zh_tw
data_files:
- split: train
path: th-zh_tw/train-*
- config_name: vi-zh_tw
data_files:
- split: train
path: vi-zh_tw/train-*
tags:
- 台灣
- 桃園捷運
- 旅遊
---
# 桃園捷運旅遊問答翻譯資料集
本專案包含六國語言,中英日韓印越泰
全程由語言模型 (GPT4) 產生合成數據(synthesis data),每一組語言存在 2K 資料量。