A text classification dataset for operations research (OR) questions, created by yilingwang and last updated on Hugging Face in December 2025. It contains questions classified into categories such as Linear Programming and Integer Programming, with detailed reasoning provided. The dataset's specific size and number of rows are not detailed in the provided metadata.
Use Cases
- Train a text classifier to categorize operations research questions based on the described problem types like Linear Programming.
- Benchmark the reasoning capabilities of language models on technical question classification tasks.
- Analyze the distribution and characteristics of different OR problem categories mentioned in the description.
Strengths
- Questions include detailed reasoning, which may aid model training and interpretation.
- Categories are explicitly defined with technical criteria, such as the distinction between Linear and Integer Programming.
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
- yilingwang on Hugging Face
- Freshness
- Last updated 2025-12-27 06:00:27; freshness should be verified.