206-Hours-English-Financial-Entities-Real-world-Casual-Conversation-and-Monologue-speech-dataset

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Description

English Financial Entities Real-world Casual Conversation and Monologue speech dataset, covering various financial professional terminologies, primarily focuses on macroeconomics and microeconomics, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, common entities and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various 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.

For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1506?source=Github

Specifications

Format

16k Hz, 16 bit, wav, mono channel

Content category

Covering various financial professional terminologies, primarily focuses on macroeconomics(market trends, financial policies, etc.), microeconomics(individual enterprises, stocks, investment portfolios, etc.)

Recording condition

Low background noise

Country

the United Kingdom(GBR), the United States(USA), etc.

Language(Region) Code

en-GB,en-US, etc.;

Language

English;

Features of annotation

transcription text, timestamp, speaker identification, gender, noise, PII redacted, entities, letter case

Accuracy Rate

Sentence Accuracy Rate (SAR) 95%.

Licensing Information

Commercial License