fixes

Author: CarloLucibello

src/abstract_datasets.jl

@@ -45,7 +45,7 @@ end
 _summary(x) = x
 _summary(x::Symbol) = ":$x"
 _summary(x::Union{Dict, AbstractArray, DataFrame}) = summary(x)
-_summary(x::Union{Tuple, NamedTuple}) = map(summary, x)
+_summary(x::Union{Tuple, NamedTuple}) = map(_summary, x)
 _summary(x::BitVector) = summary(x) * " with $(count(x)) trues"
 
 """

src/datasets/graphs/reddit.jl

@@ -27,7 +27,7 @@ This dataset contains 232,965 posts.
 The first 20 days are used for training and the remaining days for testing (with 30% used for validation).
 Each node is represented by a 602 word vector.
 
-Use `full=false` to lod only a subsample of the dataset.
+Use `full=false` to load only a subsample of the dataset.
 
 
 # References

src/graph.jl

@@ -50,13 +50,13 @@ import Graphs, MLDatasets
 
 ## From Graphs.jl to MLDatasets.Graphs
 
-# A directed graph
+# From a directed graph
 g = Graphs.erdos_renyi(10, 20, is_directed=true)
 s = [e.src for e in Graphs.edges(g)]
 t = [e.dst for e in Graphs.edges(g)]
 mlg = MLDatasets.Graph(num_nodes=10, edge_index=(s, t))
 
-# An undirected graphs
+# From an undirected graph
 g = Graphs.erdos_renyi(10, 20, is_directed=false)
 s = [e.src for e in Graphs.edges(g)]
 t = [e.dst for e in Graphs.edges(g)]
@@ -65,8 +65,8 @@ mlg = MLDatasets.Graph(num_nodes=10, edge_index=(s, t))
 
 # From Graphs.jl to MLDatasets.Graphs
 s, t = mlg.edge_index
-g = Graphs.DiGraph()
-for (i, j) in zip(s, t):
+g = Graphs.DiGraph(mlg.num_nodes)
+for (i, j) in zip(s, t)
     Graphs.add_edge!(g, i, j)
 end
 ```