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数据堂—206小时英语金融领域实体标注语音数据_口语化

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魔搭社区2025-11-17 更新2024-11-16 收录
下载链接:
https://modelscope.cn/datasets/DatatangBeijing/206Hours-EnglishFinancialEntitiesReal-worldCasualConversationAndMonologueSpeechdataset
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资源简介:
英语金融领域实体标注语音数据_口语化,涵盖各种金融类专业名词,主要分为宏观类金融内容及微观类金融内容,反映了真实世界的互动情境。此数据集标注了文本内容、说话人身份性别、常见实体词等多种属性,为各种人工智能应用提供了丰富的资源,经多家AI公司验证:有助于模型面对真实世界的多样性时能够表现出色。我们严格遵循数据保护法规和隐私规定,确保数据采集、存储和使用的过程中维护用户的隐私和合法权益,所有数据均遵循GDPR,CCPA,PIPL。

Colloquial English financial entity-annotated speech dataset, which covers a wide range of financial terminologies, is mainly divided into macro-level financial content and micro-level financial content, and reflects real-world interactive scenarios. This dataset annotates multiple attributes including text content, speaker identity and gender, common entity terms, etc., providing rich resources for various artificial intelligence applications. Verified by multiple AI companies, this dataset enables models to achieve excellent performance when coping with the diversity of real-world scenarios. We strictly comply with data protection regulations and privacy rules, ensuring that user privacy and legitimate rights and interests are safeguarded during the processes of data collection, storage and utilization. All data adheres to GDPR, CCPA and PIPL.
提供机构:
maas
创建时间:
2024-11-07
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集包含206小时的英语金融领域口语对话和独白语音数据,覆盖宏观与微观金融术语,并标注了文本内容、说话人信息及实体标签。数据格式为16kHz、16bit、.wav单声道,词准确率达95%,适用于自动语音识别等AI应用,遵循Apache 2.0许可证。
以上内容由遇见数据集搜集并总结生成
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