are {vitals} | R Documentation |
An R Eval
Description
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.
Usage
are
Format
A tibble with 29 rows and 7 columns:
- id
Character. Unique identifier/title for the code problem.
- input
Character. The question to be answered.
- target
Character. The solution, often with a description of notable features of a correct solution.
- domain
Character. The technical domain (e.g., Data Analysis, Programming, or Authoring).
- task
Character. Type of task (e.g., Debugging, New feature, or Translation.)
- source
Character. URL or source of the problem.
NA
s indicate that the problem was written originally for this eval.- knowledge
List. Required knowledge/concepts for solving the problem.
Source
Posit Community, GitHub issues, R4DS solutions, etc. For row-level
references, see source
.
Examples
are
dplyr::glimpse(are)