unnest.() produces long outcome when wide outcome is expected about tidytable HOT 4 CLOSED

library(tidytable)
library(dplyr)

dat <- structure(
  list(
    id = c("11", "22"),
    phase = c("a", "b"),
    values = list(
      structure(
        list(
          a = 1.54,
          b = 192,
          c = "50%"
        ),
        row.names = c(NA, -1L),
        class = c("tbl_df",
                  "tbl", "data.frame")
      ),
      structure(
        list(
          a = 0.5,
          b = 44,
          c = "100%",
          d = TRUE
        ),
        row.names = c(NA,
                      -1L),
        class = c("tbl_df", "tbl", "data.frame")
      )
    )
  ),
  row.names = c(NA,
                -2L),
  class = c("tbl_df", "tbl", "data.frame")
)


dat %>% 
  unnest.(values)
#> Error in `[.data.table`(.data, , unlist(values, recursive = FALSE), by = keep_cols) :
#>  j doesn't evaluate to the same number of columns for each group

# Expected
dat %>% tidyr::unnest(values)
# A tibble: 2 x 6
  id    phase     a     b c     d
  <chr> <chr> <dbl> <dbl> <chr> <lgl>
1 11    a      1.54   192 50%   NA
2 22    b      0.5     44 100%  TRUE