A general trend of biology has been and still is the reconstruction of the organisms’ evolutionary history (expressed as phylogenetic trees) and to illustrate the speciation process. In birds’ phylogeny, the taxonomic uncertainties still persist, mainly determined by the experimental design. Sylvioidea superfamily includes Old World warblers, Old World babblers, swallows, larks etc., numbering about 1300 species divided in 221 genera. The first comprehensive study of the entire superfamily was conducted by Alstrom et al. (2006), based on a nuclear and a mitochondrial marker. They highlighted 10 main clades with high support, elevated afterwards to family level. In contrast to the large number of phylogenetic studies which aimed Sylvioidea superfamily, the taxonomic uncertainties still persist. These taxonomic uncertainties could be avoided by constructing a phylogenetic supertree that includes all component species (an ideal case) or as close as possible to this number. In this study we aimed to construct and explore a comprehensive Sylvioidea phylogenetic supertree. In order to construct and explore a comprehensive phylogenetic supertree a large ingroup dataset consisting in 1858 cytochrome b sequences available on GenBank – NCBI was compiled. While the implications of a large data set are still uncertain, several datasets were assembled. The first one, called “superTaxa”, was represented by a large dataset consisting of 1898 cytochrome b sequences from ingroup and outgroup. The second one, called “fewTaxa”, was a typical dataset, in terms of size, for a phylogenetic study comprising 192 sequences, from which 152 were from ingroup (one or two species per family) and the previously declared outgroup. Also, another 20 datasets, called “familyTaxa”, for each family consisting of component species, except 4 monotypic families and family Scotocercidae with an uncertain status. Evolutionary relationships reconstruction within Sylvioidea superfamily was performed under a Maximum Likelihood (ML) framework using RAxML v.8.2.6 run through the CIPRES Science Gateway V.3.3.