I've seen teams with low-quality examples get worse results than teams with excellent ones. The model learns patterns from your data. If those patterns include errors, inconsistencies, or noise, the model learns those too.
Quality compounds. A small dataset of perfect examples teaches clean patterns. A large dataset of mediocre examples teaches confused, inconsistent behavior.