A collection of 3,678 graduate-level R programming and data analysis question-and-answer records. Each record pairs a question with a worked solution and a final answer.
Available on Request · Sample Available
R Coding QSA — Graduate
Graduate-level R for statistical computing and data analysis.
Updated:June 22, 2026
Volume
0
Volume
Scalable Volume
Coverage
R, Coding
Model Benchmark
0.0
%
Codex GPT-5.4 · Pass at k
Targets
BigCodeBench, DS-1000
Modality & Delivery
Text→Text
Formats
Excel (.xlsx)
What You Receive
Coverage
Topics include vectorized computation, data frames and data manipulation, statistical analysis, regression and modeling, categorical data, and visualization.
Package Structure
Differentiators
Record Schema
| Field | Description |
|---|---|
answer | The concise final answer associated with the question. |
question | The question or task presented in the dataset record. |
solution | The worked solution or supporting reasoning for the question. |
Results
| Model | Metric | Result |
|---|---|---|
| Codex GPT-5.4 | Pass@5 | |
| Codex GPT-5.4 | Pass@3 | — |
Methodology & Quality
Methodology
Questions are expert-authored, then split across an SME pool for complexity validation before benchmarking.
SME involvement
Domain-expert curated with up to L2 review
Stressors
Design criteria
Build assumptions
Quality approach
Known limitations
Customization & Scalability
Custom sets available. Additional volume in progress