A collection of over 1,500 human-written sentences labelled for semantic conflict and rule-switching logic. The dataset appears to be hosted on Kaggle, but specific authorship, creation date, and update frequency are not provided. It is designed for research into cognitive attention and executive function.
Use Cases
- Train models to detect semantic conflict based on the labelled sentence data.
- Study cognitive rule-switching behavior using the provided logical labels.
- Benchmark NLP models on tasks requiring attention to conflicting information.
- Develop educational or diagnostic tools for assessing executive function.
Strengths
- Contains over 1,500 data points.
- Data is human-written and specifically labelled for cognitive research concepts.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Kaggle
- Collection Method
- Human-written and labelled sentences.
- Time Range
- null
- Freshness
- null
- Geography
- null