An R Eval is a dataset of challenging R coding problems. Each input is a
question about R code which could be solved on first-read only by experts
and, with a chance to read documentation and run some code, by
fluent data scientists. Solutions are in target() and enable a fluent
data scientist to evaluate whether the solution deserves full, partial, or
no credit.
Pass this dataset to Task$new() to situate it inside of an evaluation
task.
areA tibble with 29 rows and 7 columns:
Character. Unique identifier/title for the code problem.
Character. The question to be answered.
Character. The solution, often with a description of notable features of a correct solution.
Character. The technical domain (e.g., Data Analysis, Programming, or Authoring).
Character. Type of task (e.g., Debugging, New feature, or Translation.)
Character. URL or source of the problem. NAs indicate that
the problem was written originally for this eval.
List. Required knowledge/concepts for solving the problem.