[SAMPLE] Nexdata | Multilingual Parallel Corpus Data | 200 Million Pair |Text AI & ML Training ...

1. Overview
Off-the-shelf parallel corpus data(Translation Data) covers many fields including spoken language, traveling, medical treatment,news, and finance. Data cleaning, desensitization, and quality inspection have been carried out.

2. Specifications
Storage format : TXT
Data content : Parallel Corpus Data
Data size : 200 million pairs
Language : 20 languages
Application scenario : machine translation
Accuracy rate : 90%

3. About Nexdata
Nexdata owns off-the-shelf 200,000 hours of speech recognition data, 800TB of Annotated Imagery Data, about 2 billion pieces of Natural Language Processing (NLP) Data. These ready-to-go Translation Data support instant delivery, quickly improve the accuracy of AI models. For more details, please visit us at https://www.nexdata.ai/naturalLanguage?source=Datarade

1. 概述
现成并行语料库数据（翻译数据）涵盖口语会话、旅游出行、医疗健康、新闻资讯及金融财经等多个领域。该数据集已完成数据清洗、脱敏处理及质量核验流程。

2. 数据规格
存储格式：TXT
数据内容：并行语料库数据
数据规模：2亿句对
覆盖语言：20种
应用场景：机器翻译
准确率：90%

3. 关于Nexdata
Nexdata 拥有现成可用的20万小时语音识别数据、800TB标注图像数据，以及约20亿条自然语言处理（Natural Language Processing，NLP）数据。本次提供的商用翻译数据支持即时交付，可快速提升AI模型的翻译准确率。如需了解更多详情，请访问：https://www.nexdata.ai/naturalLanguage?source=Datarade

搜集汇总

背景与挑战

背景概述

该数据集是一个多语言平行语料库样本，包含200百万对文本数据，涵盖20种语言，适用于机器翻译等AI模型训练。数据经过清洗、脱敏和质量检查，准确率达90%，以TXT格式存储，支持即时交付以提升模型准确性。