141 Hours Germany Speech Dataset with Entity Annotations

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This Germany speech dataset covers a wide range of entity types—such as personal names, phone numbers, addresses, alphanumeric sequences, email addresses, product model numbers, product serial numbers, and monetary amounts—authentically reflecting real-life interaction scenarios, and includes corresponding transcriptions and other attribute information. Our dataset was collected from speakers with diverse geographical and background profiles, thereby enhancing the model's performance in real-world, complex tasks. The dataset has undergone quality validation by multiple AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

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141 Hours Germany Speech Dataset with Entity Annotations

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Current Project Maturity

germany speech dataset

germany asr dataset

germany ner dataset

entity recognition dataset

spoken entity recognition dataset

entity extraction dataset