diff --git a/README.Rmd b/README.Rmd
index 15854deb..2435aa48 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -55,7 +55,7 @@ cat("\n\n")
 
 The `scoringutils` package facilitates the process of evaluating forecasts in R, using a convenient and flexible `data.table`-based framework. It provides broad functionality to check the input data and diagnose issues, to visualise forecasts and missing data, to transform data before scoring, to handle missing forecasts, to aggregate scores, and to visualise the results of the evaluation. The package is easily extendable, meaning that users can supply their own scoring rules or extend existing classes to handle new types of forecasts. 
 
-The package underwent a major re-write. The most comprehensive documentation for the [updated version](https://drive.google.com/file/d/1URaMsXmHJ1twpLpMl1sl2HW4lPuUycoj/view?usp=drive_link) is the revised version of our [original](https://doi.org/10.48550/arXiv.2205.07090) `scoringutils` paper. 
+The package underwent a major re-write. The most comprehensive documentation for the updated package is the [revised version](https://drive.google.com/file/d/1URaMsXmHJ1twpLpMl1sl2HW4lPuUycoj/view?usp=drive_link) of our [original](https://doi.org/10.48550/arXiv.2205.07090) `scoringutils` paper. 
 
 Another good starting point are the vignettes on [Getting started](https://epiforecasts.io/scoringutils/articles/scoringutils.html), [Details on the metrics implemented](https://epiforecasts.io/scoringutils/articles/metric-details.html) and [Scoring forecasts directly](https://epiforecasts.io/scoringutils/articles/scoring-forecasts-directly.html).
 
@@ -104,7 +104,7 @@ forecast_quantile <- example_quantile |>
     forecast_type = "quantile"
   )
 
-head(forecast_quantile, 2)
+print(forecast_quantile, 2)
 ```
 
 ### The forecast unit
diff --git a/README.md b/README.md
index 8b1d9f5f..3102b11f 100644
--- a/README.md
+++ b/README.md
@@ -27,11 +27,10 @@ extendable, meaning that users can supply their own scoring rules or
 extend existing classes to handle new types of forecasts.
 
 The package underwent a major re-write. The most comprehensive
-documentation for the [updated
+documentation for the updated package is the [revised
 version](https://drive.google.com/file/d/1URaMsXmHJ1twpLpMl1sl2HW4lPuUycoj/view?usp=drive_link)
-is the revised version of our
-[original](https://doi.org/10.48550/arXiv.2205.07090) `scoringutils`
-paper.
+of our [original](https://doi.org/10.48550/arXiv.2205.07090)
+`scoringutils` paper.
 
 Another good starting point are the vignettes on [Getting
 started](https://epiforecasts.io/scoringutils/articles/scoringutils.html),
@@ -104,23 +103,32 @@ forecast_quantile <- example_quantile |>
 #> ℹ Some rows containing NA values may be removed. This is fine if not
 #>   unexpected.
 
-head(forecast_quantile, 2)
-#> Warning: ! Error in validating forecast object: Error in validate_general(data) : !
-#>   After removing rows with NA values in the data, no forecasts are left. .
+print(forecast_quantile, 2)
+#> ℹ Some rows containing NA values may be removed. This is fine if not
+#>   unexpected.
 #> Forecast type:
+#> 
 #> quantile
+#> 
 #> Forecast unit:
+#> 
 #> location, forecast_date, target_end_date, target_type, model, and horizon
 #> 
 #> Key: <location, target_end_date, target_type>
-#>    observed quantile_level predicted location forecast_date target_end_date
-#>       <num>          <num>     <int>   <char>        <Date>          <Date>
-#> 1:   127300             NA        NA       DE          <NA>      2021-01-02
-#> 2:     4534             NA        NA       DE          <NA>      2021-01-02
-#>    target_type  model horizon
-#>         <char> <char>   <num>
-#> 1:       Cases   <NA>      NA
-#> 2:      Deaths   <NA>      NA
+#>        observed quantile_level predicted location forecast_date target_end_date
+#>           <num>          <num>     <int>   <char>        <Date>          <Date>
+#>     1:   127300             NA        NA       DE          <NA>      2021-01-02
+#>     2:     4534             NA        NA       DE          <NA>      2021-01-02
+#>    ---                                                                         
+#> 20544:       78          0.975       611       IT    2021-07-12      2021-07-24
+#> 20545:       78          0.990       719       IT    2021-07-12      2021-07-24
+#>        target_type                model horizon
+#>             <char>               <char>   <num>
+#>     1:       Cases                 <NA>      NA
+#>     2:      Deaths                 <NA>      NA
+#>    ---                                         
+#> 20544:      Deaths epiforecasts-EpiNow2       2
+#> 20545:      Deaths epiforecasts-EpiNow2       2
 ```
 
 ### The forecast unit