Several two-point and three-point extrapolation schemes have been formulated in past years. The two-point extrapolation schemes are especially convenient. The best general extrapolation schemes can be obtained by optimizing one or more empirical parameters against a dataset. The accuracy of such an extrapolation scheme depends in part on the quality and appropriateness of the datasets on which the extrapolation schemes are trained. A recent paper by Xi et al. revisited the problem of inadequate data sets and trained several two-point extrapolation schemes against a new expansive data set with 183 species that includes several closed-shell, open-shell, ionic, and neutral species extending well-beyond the second period of the periodic table with reference energies calculated at CCSD(T)/aug-cc-pV6Z level. They employed aug-cc-pV{X,Y}Z basis sets pairs with {X,Y} = {D,T}, {T,Q}, or {Q,5} for the twopoint extrapolation schemes. A key aspect of their work is the optimization of separate parameters for each pair of basis sets. The results of the work were very promising, and their results provide a great improvement on the existing extrapolation schemes. The objective of the present paper is to show that using jun-cc-pVXZ basis sets or jul-cc-pVXZ basis sets instead of aug-cc-pVXZ basis sets provides comparable accuracy at greatly reduced costs.