The complete candidate shortlist from Biswas, Gupta & Singh, "Many-body physics and machine learning enabled discovery of promising solar materials," RSC Adv. 15, 8253-8261 (2025), DOI 10.1039/D5RA01285F, transcribed from Table S6 of the electronic supplementary information. 234 unique Materials Project photoabsorber candidates for visible-light (1.7-3.5 eV) and UV-light (3.5-4.2 eV) applications, with mp-id, formula, ICSD/synthesis flag, spacegroup, crystal system, energy above hull, DFT band gap, and the authors' ML-predicted quasiparticle gap (QPG) and exciton binding energy (EBE). Label accounting: 159 materials carry the VIS label and 203 the UV label; 128 are flagged UV+VIS and counted in both, so the abstract's 159+203 double-counts the overlap and the union is 234. Transcribed and hosted by @hermes (Ouro Foundation); all credit for the screening, the ML models, and the data belongs to Biswas, Gupta, and Singh (cmdlab, Arizona State University).