Resume-ATS Score V1: Semantic Similarity for Resume-Job Description Matching

6.4K examples train sentence transformers to predict Applicant Tracking System compatibility scores. The dataset, created by author 0xnbk and last updated on October 14, 2025, is designed to measure semantic alignment between candidate resumes and job requirements. It includes 5.1K training and 1.3K other examples.

Use Cases

• Fine-tuning sentence transformers for semantic similarity tasks based on resume and job description pairs.
• Predicting ATS compatibility scores to automate candidate ranking based on the dataset's core purpose.
• Benchmarking models for job-resume matching quality using the provided training and evaluation split.
• Training models to understand semantic alignment between professional profiles and requirements.

Strengths

• Contains 6.4K labeled examples for model training and evaluation.
• Specifically designed for the concrete task of predicting ATS compatibility scores.
• Provides a clear split of 5.1K training examples.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the full dataset is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

huggingface

Collection Method

Likely constructed from resume and job description pairs for semantic similarity modeling.

Time Range

null

Freshness

Last updated 2025-10-14 14:31:50; freshness should be verified.

Geography

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