Quantile regression error with dummy variables in ggplot

So I am trying to calculate quantile regression and plot result in ggplot for some reason dummy variables cannot be shown for some reason when plotting result in ggplot

Code on example mtcars dataset if as folows:

library(dplyr)
library(ggplot2)
library(qre)
library(quantreg)
library(fastDummies)

dataset <- mtcars
dataset <- dummy_cols(dataset, select_columns = "gear")
dataset


rq(data=dataset,
   tau= 1:9/10,
   formula = hp ~  disp + mpg + qsec + gear_4  + gear_5) %>% 
  broom::tidy() %>% 
  #filter(term!="(Intercept)") %>%
  ggplot(aes(x=tau,y=estimate))+
  geom_point(color="#27408b", size = 3)+ 
  geom_ribbon(aes(ymin=conf.low,ymax=conf.high),alpha=0.25, fill="#27408b")+
  geom_line(color="#27408b", size = 1)+ 
  geom_smooth(method=  "lm", colour = "red", se = T)+  
  my_theme + 
  facet_wrap(~term,scales="free",ncol=2)

QR.2 <- rq(hp ~ disp + mpg + qsec + gear_4 + gear_5, data = dataset, tau = 1:9/10)
plot(summary(QR.2, se = "boot"))

When plotting result using plot(summary(QR.2, se = "boot")) everything work just fine, but for some reason using ggplot shows a mistake.