Self-Talk as a Regulatory Mechanism: Psychological Research Data

A dataset associated with the research paper 'Self-talk as a regulatory mechanism: How you do it matters' by Emma Bruehlman-Senecal. It is hosted on the Papers with Code platform, which aggregates resources for machine learning research. The specific content, scale, and structure of the underlying data are not detailed in the available metadata.

Use Cases

• Analyzing linguistic patterns in self-reported self-talk transcripts (inferred from domain, verify after download)
• Training models to classify regulatory self-talk strategies (inferred from domain, verify after download)
• Correlating self-talk features with behavioral or psychological outcomes (inferred from domain, verify after download)

Strengths

• Published on the Papers with Code platform, which links datasets to machine learning research.
• Associated with a specific, named author and research paper.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file format, and column definitions are unknown.
• License is listed as 'closed', which may restrict usage.

Provenance

Source

Papers with Code