Text Quality V2: Sentences with Multiple Quality Metrics

A meta-analysis dataset of English sentences with associated quality metrics derived from multiple sources and models. It is an expanded and streamlined version of agentlans/text-quality, created by agentlans and last updated on October 5, 2024.

Use Cases

• Benchmarking text quality scoring models based on aggregated metrics.
• Training models to predict human-like text quality scores.
• Analyzing the correlation between different automated quality metrics.

Strengths

• Combines text from multiple sources, suggesting diversity.
• Aggregates quality scores from different models, providing multiple assessment perspectives.
• Is an expanded version of a prior dataset, indicating iterative development.

Limitations

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

Provenance

Source

huggingface

Collection Method

Derived from multiple sources and methods, as described.

Freshness

Last updated 2024-10-05 18:38:09