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Resume Data | Automated Candidate filtering | Recruitment Automation | Intelligent hiring solution Dataset
10k+ Resume Data | Automated Candidate filtering | Recruitment Automation | Intelligent hiring solution DatasetA resume dataset holds great importance in hiring automation and AI applications, especially for automating candidate screening and candidate-job matching processes. At TagX, we provide a resume dataset to assist organizations in optimizing their hiring processes. It enables the training of AI models to automatically screen and evaluate candidate resumes. By leveraging this dataset, organizations can develop AI algorithms that extract relevant information, assess candidate qualifications, and streamline the resume screening process. Additionally, the dataset facilitates AI-driven candidate-job matching, allowing organizations to match candidate skills and qualifications with job requirements more accurately and efficiently.
Volume: More than 10K+ images
Available Formats: .json, .xml, .csv
Coverage: More than 249 countries
10k+ Resume Data | Automated Candidate filtering | Recruitment Automation | Intelligent hiring solution Dataset
Our delivered dataset is a valuable resource with a range of exceptional features for hiring automation and AI applications. Notably, it offers diversity by including resumes from fresh graduates to experienced professionals with over 10 years of experience. This ensures organizations can train their AI models on a wide spectrum of career stages, accommodating various hiring needs. Additionally, the dataset encompasses resumes from multiple countries, making it suitable for international hiring processes and enabling AI models to adapt to different resume formats and language variations. To provide increased granularity, the dataset is divided into subsets based on technical skills and careers, allowing organizations to focus on specific domains during their hiring efforts.
Use Cases
- Intelligence Document Processing
- Document AI
- Natural language processing
- Hiring Automation
- Recruitment AI
- Data Extraction
Categories
- Document Dataset
- Machine Learning (ML) Data
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