Datasets:

TabBioMed
/

true_melting_point

row_idx int64	f_0_esm2_0 float32	f_1_esm2_1 float32	f_2_esm2_2 float32	f_3_esm2_3 float32	f_4_esm2_4 float32	f_5_esm2_5 float32	f_6_esm2_6 float32	f_7_esm2_7 float32	f_8_esm2_8 float32	f_9_esm2_9 float32	f_10_esm2_10 float32	f_11_esm2_11 float32	f_12_esm2_12 float32	f_13_esm2_13 float32	f_14_esm2_14 float32	f_15_esm2_15 float32	f_16_esm2_16 float32	f_17_esm2_17 float32	f_18_esm2_18 float32	f_19_esm2_19 float32	f_20_esm2_20 float32	f_21_esm2_21 float32	f_22_esm2_22 float32	f_23_esm2_23 float32	f_24_esm2_24 float32	f_25_esm2_25 float32	f_26_esm2_26 float32	f_27_esm2_27 float32	f_28_esm2_28 float32	f_29_esm2_29 float32	f_30_esm2_30 float32	f_31_esm2_31 float32	f_32_esm2_32 float32	f_33_esm2_33 float32	f_34_esm2_34 float32	f_35_esm2_35 float32	f_36_esm2_36 float32	f_37_esm2_37 float32	f_38_esm2_38 float32	f_39_esm2_39 float32	f_40_esm2_40 float32	f_41_esm2_41 float32	f_42_esm2_42 float32	f_43_esm2_43 float32	f_44_esm2_44 float32	f_45_esm2_45 float32	f_46_esm2_46 float32	f_47_esm2_47 float32	f_48_esm2_48 float32	f_49_esm2_49 float32	f_50_esm2_50 float32	f_51_esm2_51 float32	f_52_esm2_52 float32	f_53_esm2_53 float32	f_54_esm2_54 float32	f_55_esm2_55 float32	f_56_esm2_56 float32	f_57_esm2_57 float32	f_58_esm2_58 float32	f_59_esm2_59 float32	f_60_esm2_60 float32	f_61_esm2_61 float32	f_62_esm2_62 float32	f_63_esm2_63 float32	f_64_esm2_64 float32	f_65_esm2_65 float32	f_66_esm2_66 float32	f_67_esm2_67 float32	f_68_esm2_68 float32	f_69_esm2_69 float32	f_70_esm2_70 float32	f_71_esm2_71 float32	f_72_esm2_72 float32	f_73_esm2_73 float32	f_74_esm2_74 float32	f_75_esm2_75 float32	f_76_esm2_76 float32	f_77_esm2_77 float32	f_78_esm2_78 float32	f_79_esm2_79 float32	f_80_esm2_80 float32	f_81_esm2_81 float32	f_82_esm2_82 float32	f_83_esm2_83 float32	f_84_esm2_84 float32	f_85_esm2_85 float32	f_86_esm2_86 float32	f_87_esm2_87 float32	f_88_esm2_88 float32	f_89_esm2_89 float32	f_90_esm2_90 float32	f_91_esm2_91 float32	f_92_esm2_92 float32	f_93_esm2_93 float32	f_94_esm2_94 float32	f_95_esm2_95 float32	f_96_esm2_96 float32	f_97_esm2_97 float32	f_98_esm2_98 float32	f_99_esm2_99 float32	f_100_esm2_100 float32	f_101_esm2_101 float32	f_102_esm2_102 float32	f_103_esm2_103 float32	f_104_esm2_104 float32	f_105_esm2_105 float32	f_106_esm2_106 float32	f_107_esm2_107 float32	f_108_esm2_108 float32	f_109_esm2_109 float32	f_110_esm2_110 float32	f_111_esm2_111 float32	f_112_esm2_112 float32	f_113_esm2_113 float32	f_114_esm2_114 float32	f_115_esm2_115 float32	f_116_esm2_116 float32	f_117_esm2_117 float32	f_118_esm2_118 float32	f_119_esm2_119 float32	f_120_esm2_120 float32	f_121_esm2_121 float32	f_122_esm2_122 float32	f_123_esm2_123 float32	f_124_esm2_124 float32	f_125_esm2_125 float32	f_126_esm2_126 float32	f_127_esm2_127 float32	f_128_esm2_128 float32	f_129_esm2_129 float32	f_130_esm2_130 float32	f_131_esm2_131 float32	f_132_esm2_132 float32	f_133_esm2_133 float32	f_134_esm2_134 float32	f_135_esm2_135 float32	f_136_esm2_136 float32	f_137_esm2_137 float32	f_138_esm2_138 float32	f_139_esm2_139 float32	f_140_esm2_140 float32	f_141_esm2_141 float32	f_142_esm2_142 float32	f_143_esm2_143 float32	f_144_esm2_144 float32	f_145_esm2_145 float32	f_146_esm2_146 float32	f_147_esm2_147 float32	f_148_esm2_148 float32	f_149_esm2_149 float32	f_150_esm2_150 float32	f_151_esm2_151 float32	f_152_esm2_152 float32	f_153_esm2_153 float32	f_154_esm2_154 float32	f_155_esm2_155 float32	f_156_esm2_156 float32	f_157_esm2_157 float32	f_158_esm2_158 float32	f_159_esm2_159 float32	f_160_esm2_160 float32	f_161_esm2_161 float32	f_162_esm2_162 float32	f_163_esm2_163 float32	f_164_esm2_164 float32	f_165_esm2_165 float32	f_166_esm2_166 float32	f_167_esm2_167 float32	f_168_esm2_168 float32	f_169_esm2_169 float32	f_170_esm2_170 float32	f_171_esm2_171 float32	f_172_esm2_172 float32	f_173_esm2_173 float32	f_174_esm2_174 float32	f_175_esm2_175 float32	f_176_esm2_176 float32	f_177_esm2_177 float32	f_178_esm2_178 float32	f_179_esm2_179 float32	f_180_esm2_180 float32	f_181_esm2_181 float32	f_182_esm2_182 float32	f_183_esm2_183 float32	f_184_esm2_184 float32	f_185_esm2_185 float32	f_186_esm2_186 float32	f_187_esm2_187 float32	f_188_esm2_188 float32	f_189_esm2_189 float32	f_190_esm2_190 float32	f_191_esm2_191 float32	f_192_esm2_192 float32	f_193_esm2_193 float32	f_194_esm2_194 float32	f_195_esm2_195 float32	f_196_esm2_196 float32	f_197_esm2_197 float32	f_198_esm2_198 float32	f_199_esm2_199 float32	f_200_esm2_200 float32	f_201_esm2_201 float32	f_202_esm2_202 float32	f_203_esm2_203 float32	f_204_esm2_204 float32	f_205_esm2_205 float32	f_206_esm2_206 float32	f_207_esm2_207 float32	f_208_esm2_208 float32	f_209_esm2_209 float32	f_210_esm2_210 float32	f_211_esm2_211 float32	f_212_esm2_212 float32	f_213_esm2_213 float32	f_214_esm2_214 float32	f_215_esm2_215 float32	f_216_esm2_216 float32	f_217_esm2_217 float32	f_218_esm2_218 float32	f_219_esm2_219 float32	f_220_esm2_220 float32	f_221_esm2_221 float32	f_222_esm2_222 float32	f_223_esm2_223 float32	f_224_esm2_224 float32	f_225_esm2_225 float32	f_226_esm2_226 float32	f_227_esm2_227 float32	f_228_esm2_228 float32	f_229_esm2_229 float32	f_230_esm2_230 float32	f_231_esm2_231 float32	f_232_esm2_232 float32	f_233_esm2_233 float32	f_234_esm2_234 float32	f_235_esm2_235 float32	f_236_esm2_236 float32	f_237_esm2_237 float32	f_238_esm2_238 float32	f_239_esm2_239 float32	f_240_esm2_240 float32	f_241_esm2_241 float32	f_242_esm2_242 float32	f_243_esm2_243 float32	f_244_esm2_244 float32	f_245_esm2_245 float32	f_246_esm2_246 float32	f_247_esm2_247 float32	f_248_esm2_248 float32	f_249_esm2_249 float32	f_250_esm2_250 float32	f_251_esm2_251 float32	f_252_esm2_252 float32	f_253_esm2_253 float32	f_254_esm2_254 float32	f_255_esm2_255 float32	f_256_esm2_256 float32	f_257_esm2_257 float32	f_258_esm2_258 float32	f_259_esm2_259 float32	f_260_esm2_260 float32	f_261_esm2_261 float32	f_262_esm2_262 float32	f_263_esm2_263 float32	f_264_esm2_264 float32	f_265_esm2_265 float32	f_266_esm2_266 float32	f_267_esm2_267 float32	f_268_esm2_268 float32	f_269_esm2_269 float32	f_270_esm2_270 float32	f_271_esm2_271 float32	f_272_esm2_272 float32	f_273_esm2_273 float32	f_274_esm2_274 float32	f_275_esm2_275 float32	f_276_esm2_276 float32	f_277_esm2_277 float32	f_278_esm2_278 float32	f_279_esm2_279 float32	f_280_esm2_280 float32	f_281_esm2_281 float32	f_282_esm2_282 float32	f_283_esm2_283 float32	f_284_esm2_284 float32	f_285_esm2_285 float32	f_286_esm2_286 float32	f_287_esm2_287 float32	f_288_esm2_288 float32	f_289_esm2_289 float32	f_290_esm2_290 float32	f_291_esm2_291 float32	f_292_esm2_292 float32	f_293_esm2_293 float32	f_294_esm2_294 float32	f_295_esm2_295 float32	f_296_esm2_296 float32	f_297_esm2_297 float32	f_298_esm2_298 float32	f_299_esm2_299 float32	f_300_esm2_300 float32	f_301_esm2_301 float32	f_302_esm2_302 float32	f_303_esm2_303 float32	f_304_esm2_304 float32	f_305_esm2_305 float32	f_306_esm2_306 float32	f_307_esm2_307 float32	f_308_esm2_308 float32	f_309_esm2_309 float32	f_310_esm2_310 float32	f_311_esm2_311 float32	f_312_esm2_312 float32	f_313_esm2_313 float32	f_314_esm2_314 float32	f_315_esm2_315 float32	f_316_esm2_316 float32	f_317_esm2_317 float32	f_318_esm2_318 float32	f_319_esm2_319 float32	f_320_esm2_320 float32	f_321_esm2_321 float32	f_322_esm2_322 float32	f_323_esm2_323 float32	f_324_esm2_324 float32	f_325_esm2_325 float32	f_326_esm2_326 float32	f_327_esm2_327 float32	f_328_esm2_328 float32	f_329_esm2_329 float32	f_330_esm2_330 float32	f_331_esm2_331 float32	f_332_esm2_332 float32	f_333_esm2_333 float32	f_334_esm2_334 float32	f_335_esm2_335 float32	f_336_esm2_336 float32	f_337_esm2_337 float32	f_338_esm2_338 float32	f_339_esm2_339 float32	f_340_esm2_340 float32	f_341_esm2_341 float32	f_342_esm2_342 float32	f_343_esm2_343 float32	f_344_esm2_344 float32	f_345_esm2_345 float32	f_346_esm2_346 float32	f_347_esm2_347 float32	f_348_esm2_348 float32	f_349_esm2_349 float32	f_350_esm2_350 float32	f_351_esm2_351 float32	f_352_esm2_352 float32	f_353_esm2_353 float32	f_354_esm2_354 float32	f_355_esm2_355 float32	f_356_esm2_356 float32	f_357_esm2_357 float32	f_358_esm2_358 float32	f_359_esm2_359 float32	f_360_esm2_360 float32	f_361_esm2_361 float32	f_362_esm2_362 float32	f_363_esm2_363 float32	f_364_esm2_364 float32	f_365_esm2_365 float32	f_366_esm2_366 float32	f_367_esm2_367 float32	f_368_esm2_368 float32	f_369_esm2_369 float32	f_370_esm2_370 float32	f_371_esm2_371 float32	f_372_esm2_372 float32	f_373_esm2_373 float32	f_374_esm2_374 float32	f_375_esm2_375 float32	f_376_esm2_376 float32	f_377_esm2_377 float32	f_378_esm2_378 float32	f_379_esm2_379 float32	f_380_esm2_380 float32	f_381_esm2_381 float32	f_382_esm2_382 float32	f_383_esm2_383 float32	f_384_esm2_384 float32	f_385_esm2_385 float32	f_386_esm2_386 float32	f_387_esm2_387 float32	f_388_esm2_388 float32	f_389_esm2_389 float32	f_390_esm2_390 float32	f_391_esm2_391 float32	f_392_esm2_392 float32	f_393_esm2_393 float32	f_394_esm2_394 float32	f_395_esm2_395 float32	f_396_esm2_396 float32	f_397_esm2_397 float32	f_398_esm2_398 float32	f_399_esm2_399 float32	f_400_esm2_400 float32	f_401_esm2_401 float32	f_402_esm2_402 float32	f_403_esm2_403 float32	f_404_esm2_404 float32	f_405_esm2_405 float32	f_406_esm2_406 float32	f_407_esm2_407 float32	f_408_esm2_408 float32	f_409_esm2_409 float32	f_410_esm2_410 float32	f_411_esm2_411 float32	f_412_esm2_412 float32	f_413_esm2_413 float32	f_414_esm2_414 float32	f_415_esm2_415 float32	f_416_esm2_416 float32	f_417_esm2_417 float32	f_418_esm2_418 float32	f_419_esm2_419 float32	f_420_esm2_420 float32	f_421_esm2_421 float32	f_422_esm2_422 float32	f_423_esm2_423 float32	f_424_esm2_424 float32	f_425_esm2_425 float32	f_426_esm2_426 float32	f_427_esm2_427 float32	f_428_esm2_428 float32	f_429_esm2_429 float32	f_430_esm2_430 float32	f_431_esm2_431 float32	f_432_esm2_432 float32	f_433_esm2_433 float32	f_434_esm2_434 float32	f_435_esm2_435 float32	f_436_esm2_436 float32	f_437_esm2_437 float32	f_438_esm2_438 float32	f_439_esm2_439 float32	f_440_esm2_440 float32	f_441_esm2_441 float32	f_442_esm2_442 float32	f_443_esm2_443 float32	f_444_esm2_444 float32	f_445_esm2_445 float32	f_446_esm2_446 float32	f_447_esm2_447 float32	f_448_esm2_448 float32	f_449_esm2_449 float32	f_450_esm2_450 float32	f_451_esm2_451 float32	f_452_esm2_452 float32	f_453_esm2_453 float32	f_454_esm2_454 float32	f_455_esm2_455 float32	f_456_esm2_456 float32	f_457_esm2_457 float32	f_458_esm2_458 float32	f_459_esm2_459 float32	f_460_esm2_460 float32	f_461_esm2_461 float32	f_462_esm2_462 float32	f_463_esm2_463 float32	f_464_esm2_464 float32	f_465_esm2_465 float32	f_466_esm2_466 float32	f_467_esm2_467 float32	f_468_esm2_468 float32	f_469_esm2_469 float32	f_470_esm2_470 float32	f_471_esm2_471 float32	f_472_esm2_472 float32	f_473_esm2_473 float32	f_474_esm2_474 float32	f_475_esm2_475 float32	f_476_esm2_476 float32	f_477_esm2_477 float32	f_478_esm2_478 float32	f_479_esm2_479 float32	target float32
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2	-0.098808	-0.083339	-0.045439	-0.004101	0.040183	-0.059701	-0.040405	0.046264	-0.037424	0.098298	-0.009122	0.0426	-0.017552	0.133607	0.094784	0.057893	0.130404	0.09652	-0.2276	-0.009511	0.00155	0.03635	-0.064034	-0.126079	-0.112486	0.147693	0.178542	0.033421	0.001025	0.077202	0.007717	-0.04127	0.020072	-0.106366	-0.034363	-0.079002	0.0898	-0.128493	-0.159535	0.045185	-0.19545	-0.092234	-0.172818	-0.222764	-0.037461	0.135713	3.52964	-0.04753	0.042552	-0.09766	-0.005527	0.048641	-0.1118	-0.078417	0.054986	0.131798	0.028416	0.022607	-0.212066	0.067507	0.075058	-0.102704	0.184154	0.091035	-0.221518	0.011981	0.027471	0.120466	-0.089568	0.041408	-0.054432	0.00513	0.288239	-0.127125	0.093581	0.063945	-0.12691	0.015584	0.102589	0.056164	0.198155	0.087853	-0.056716	-0.121972	0.144724	-0.090475	0.069908	-0.028658	0.057468	0.043741	0.003321	0.087833	-0.066397	0.119554	-0.046331	-0.024803	0.005672	0.030774	-0.001971	0.030769	0.091986	0.087001	-0.028282	-0.053297	0.060298	0.10807	-0.216358	0.16298	0.016022	-0.038791	-0.070475	-0.155717	-0.014622	-0.088963	-0.002021	-0.007647	0.028747	0.180795	0.012484	-0.016358	-0.098202	0.053217	0.052018	-0.060163	-0.09693	-0.042737	-0.063727	-0.109209	-0.090343	0.078112	-0.191591	0.102274	0.022752	-0.043654	-0.0452	-0.025235	0.052747	0.204358	0.040313	0.113837	0.008955	-0.090086	-0.035647	0.042627	0.064024	-0.014999	-0.090729	0.037004	0.135784	-0.018192	-0.113788	0.056294	-0.19605	0.099713	0.135046	-0.014231	-0.046037	-0.153996	-0.041269	0.002563	-0.016836	-0.221808	0.221109	0.057651	-0.004586	0.020535	-0.049755	-0.17607	-0.023392	0.013562	-0.088366	0.122347	-0.044633	-0.023725	0.043145	0.036408	0.086964	0.08007	-0.002268	0.014724	0.027124	0.105667	-0.169066	-0.010572	0.037274	-0.100849	-0.024669	0.228281	-0.289347	-0.103923	0.05782	0.043489	0.143267	0.030094	-0.109052	0.06531	-0.181527	0.096138	0.082925	0.093625	0.234782	-0.00694	-0.174723	-0.050358	-0.108063	0.066577	-0.217197	0.033088	-0.109191	-0.07305	-0.014534	0.162706	0.149426	-0.107093	0.105672	-0.306128	-0.024643	0.111817	0.094325	0.063938	-0.19695	-0.046828	0.058073	-0.028823	0.035184	-0.079892	-0.00648	-0.189121	-0.000466	0.032934	0.042945	-0.166235	0.067918	0.034071	0.059178	-0.033094	-0.009418	-0.004289	0.124842	0.005972	0.065898	-0.059558	-0.113836	-0.180714	0.090908	-0.10202	0.004324	-0.013946	-0.124011	-0.163724	0.075478	-0.0658	0.133735	0.141146	-0.212091	-0.104474	0.017031	0.145523	-0.027689	-0.10897	0.055138	0.06761	-0.014285	0.102849	-0.109592	0.086635	-0.044004	0.227209	0.016028	0.058964	-0.026082	-0.138916	0.092613	0.091667	-0.027393	0.017715	-0.139364	0.066667	0.005884	-0.045725	0.018554	0.048886	-0.006519	-0.017308	0.101801	0.009212	-0.061431	-0.01391	0.124392	0.206787	0.002932	-0.002421	0.105869	0.227264	0.017618	-0.050455	0.137996	-0.070607	-0.076477	-0.510906	-0.000988	0.069415	-0.02451	0.005905	-0.063817	-0.093905	0.047803	-0.156933	-0.067114	-0.005931	-0.055115	0.025556	0.063536	-0.085324	-0.075201	0.158229	0.205483	-0.036775	0.063174	-0.020056	-0.111777	0.116635	-0.090298	0.028908	-0.069943	-0.079486	0.014589	0.046166	-0.075316	0.051526	-0.163766	0.268535	0.054212	-0.051261	0.146499	0.083744	0.336856	-0.027164	-0.168797	-0.035203	-0.094857	-0.048345	0.12889	0.061562	-0.075451	0.103389	0.023676	0.1263	0.091669	0.102003	0.01881	0.064507	0.039967	0.061331	0.08983	-0.073747	-0.04049	-0.013702	-0.044822	0.075987	-0.037	-0.00473	0.02658	-0.092794	0.059183	-0.099466	0.084754	0.047956	0.048406	0.206433	0.063452	-0.125446	-0.143887	0.024628	-0.012047	-0.10112	0.095202	-0.008521	-0.218233	0.031912	0.019505	0.216342	0.082291	0.205968	-0.043842	0.166193	-0.244663	0.046587	0.024952	0.074022	-0.024467	-0.087346	0.062943	0.100281	-0.075818	-0.022532	-0.228859	0.021048	-0.069425	-0.095693	0.061195	-0.062423	-0.090803	0.073996	0.099042	-0.042288	0.184725	-0.094206	-0.141531	0.010628	0.172772	-0.06587	-0.081085	-0.213903	-0.059448	0.113202	0.112823	-0.099663	0.004584	-0.083828	-0.00217	0.157241	-0.051617	0.101075	0.009523	0.238189	0.004803	-0.064008	0.041108	-0.004663	-0.127781	-0.119897	0.026916	-0.057372	-0.097886	-0.02982	-0.035188	0.066445	-0.001378	-0.041604	0.214033	-0.122737	-0.145848	0.038026	0.185395	0.225384	-0.128155	-0.013848	-0.19232	-0.073253	0.019593	-0.148914	0.108525	-0.036368	0.032599	0.129857	-0.151075	-0.258815	0.055758	-0.178287	-0.603193	0.03144	-0.084379	-0.04357	0.228053	-0.220721	-0.032496	-0.192205	0.146071	0.150332	0.106618	-0.138798	0.006277	0.17706	-0.007316	-0.025085	-0.109333	-0.009263	-0.047194	0.110328	42.593132
3	0.035129	-0.015494	0.048962	-0.094699	-0.020965	0.077079	-0.086394	-0.06297	-0.042654	-0.052993	-0.076409	0.013734	0.051727	0.011394	0.01354	-0.045325	0.041061	0.07502	-0.205962	0.084816	-0.106977	0.003977	-0.023054	0.008987	-0.096219	-0.016134	-0.112047	0.023643	-0.098403	0.060004	0.021438	0.044093	0.021481	0.152926	-0.074261	-0.18637	-0.005497	-0.142461	-0.071934	0.099293	0.123856	-0.005866	-0.057262	-0.021947	-0.114472	0.11317	5.929787	0.069987	-0.069007	0.03728	0.139362	-0.1556	-0.150634	0.072617	0.098023	0.002574	-0.063128	-0.085314	0.066699	-0.02966	-0.003646	-0.068977	0.008824	0.004626	-0.002059	-0.225167	-0.129586	-0.021935	0.111311	0.069736	0.124135	0.128342	0.311959	-0.054544	0.10415	-0.047486	-0.032645	0.157586	-0.006694	0.004485	0.137073	-0.074244	-0.07681	0.087987	0.100782	-0.049852	-0.115265	-0.003013	0.100228	0.088984	-0.087001	-0.103966	-0.055666	0.030643	-0.10931	0.015314	0.048518	0.01032	0.025892	0.049169	-0.084573	0.000579	0.027519	0.062743	-0.064092	0.02373	-0.159497	0.030748	-0.022097	-0.018811	-0.127925	0.054888	-0.051496	-0.049483	-0.087357	-0.054668	-0.020966	-0.052965	-0.014772	-0.074137	0.152091	-0.064182	-0.16798	0.126714	0.012878	-0.119287	0.097821	0.047244	-0.003112	0.002027	-0.107594	0.117065	-0.055798	-0.061151	0.03098	0.012198	0.088758	0.129877	0.091713	-0.012698	0.066684	-0.110226	-0.075657	-0.075899	0.004515	0.009416	-0.136619	0.07734	0.11241	0.032778	0.040127	-0.057088	-0.114741	0.034446	-0.05452	0.004364	-0.006346	0.109221	-0.136259	-0.009446	0.109939	-0.042362	0.046553	0.019864	-0.045001	-0.044189	-0.034324	-0.027707	-0.124324	0.139641	0.050341	-0.07865	0.107021	-0.116877	-0.326512	-0.089607	-0.002534	-0.100464	0.063947	-0.053626	0.053442	-0.008681	0.020105	0.119466	0.108	-0.17448	0.052801	0.070532	-0.093677	-0.011326	0.090781	-0.056962	0.215878	0.06724	0.010011	0.010384	-0.120966	-0.0079	0.124992	-0.023024	0.075788	-0.056452	-0.347213	0.075801	0.017447	-0.087048	-0.511023	-0.025168	0.073235	0.027208	0.048829	0.252016	0.070696	0.037532	0.047653	-0.208875	0.181387	-0.038522	0.181623	0.017577	0.076743	-0.0203	0.083738	-0.043946	-0.036272	0.00793	0.049969	-0.044144	0.036081	-0.058913	-0.024851	-0.148205	0.038753	-0.08194	0.082646	-0.043323	0.044493	0.025207	0.185887	-0.118701	0.086917	-0.049426	-0.11975	-0.056367	0.033569	0.136553	-0.032809	-0.044158	-0.142975	-0.160003	0.052293	-0.035136	-0.017749	0.008319	-0.159001	-0.008451	0.06784	0.039368	-0.055061	0.001288	0.008237	-0.026472	-0.00164	-0.000607	-0.05826	-0.04988	-0.012104	0.057278	-0.075805	0.088854	0.045198	0.047367	-0.053254	-0.051991	0.017843	0.136985	-0.191063	0.049869	0.076086	-0.070421	-0.155215	-0.096616	-0.044151	-0.006959	0.145072	-0.046572	-0.070951	0.090816	-0.019465	0.053916	0.000174	-0.012781	-0.030225	-0.199907	0.081315	0.160527	-0.064519	-0.023074	-0.016537	-0.026989	-0.016476	0.137734	-0.007996	-0.074184	0.090261	-0.171677	0.056616	-0.10324	-0.178447	0.002157	0.167168	0.150252	0.069945	0.039931	0.164255	0.158064	0.03512	-0.033803	0.047264	0.013858	-0.071282	0.104409	-0.169456	0.174765	-0.077081	-0.220518	0.124817	-0.016162	-0.178632	0.215725	-0.053083	-0.011433	0.130603	-0.032984	-0.056056	0.070193	0.231341	-0.162328	-0.142431	0.026573	-0.049793	-0.076746	0.032027	-0.106255	0.007912	0.097558	0.089195	-0.014835	0.229969	-0.129408	-0.060409	0.069135	-0.029536	0.070947	0.063289	-0.053667	-0.027489	0.061043	-0.024284	-0.0412	-0.041878	-0.005214	0.121947	-0.042063	-0.048374	0.078465	0.034107	-0.053117	-0.02233	-0.020136	0.126762	0.041795	-0.03115	-0.056105	-0.007217	-0.066116	-0.09823	0.020491	-0.003267	-0.077525	0.006071	0.190204	-0.00362	0.069669	0.050834	-0.146019	-0.015191	0.086342	0.20969	0.021493	0.161208	0.003876	0.084061	-0.015895	-0.054952	0.085861	-0.148198	0.058545	-0.039781	0.002462	-0.167049	-0.087419	-0.094041	0.059815	-0.151069	0.001624	0.099326	-0.027958	-0.156495	0.099849	0.132721	0.050855	-0.048144	-0.172066	0.005438	0.207997	0.089696	-0.092849	0.079059	0.050829	0.033478	0.128675	-0.032863	0.182278	-0.06872	0.174158	0.052619	-0.015799	-0.129016	-0.000568	0.098724	-0.0772	-0.026795	-0.028255	-0.037369	-0.035476	-0.068033	0.03955	-0.049779	-0.132406	0.07341	-0.268082	-0.129797	0.009559	0.092466	0.121776	-0.108255	0.034956	-0.088175	0.146741	-0.057085	0.018655	-0.038885	-0.112528	0.020218	0.084624	-0.077453	-0.279947	-0.024062	-0.071891	-1.664507	0.054029	0.073533	-0.034285	-0.037766	-0.143861	-0.002532	-0.242041	0.034792	0.03412	-0.03973	0.1592	0.14034	0.022281	-0.163268	-0.184287	0.133342	0.010671	-0.11093	0.139017	37.999477
4	-0.104621	-0.055704	-0.011591	0.050616	0.063805	-0.041902	-0.038342	0.027347	-0.111413	-0.007909	-0.110971	-0.000322	-0.017043	0.098232	-0.048412	0.102918	0.011844	0.08685	-0.223114	0.215413	-0.146644	0.037521	0.004369	0.085165	-0.125543	-0.031505	0.115588	0.009524	0.053825	-0.000724	-0.064623	0.153581	0.137674	-0.076424	-0.153481	-0.098708	0.068226	-0.052982	-0.145601	0.099462	-0.098124	0.113423	-0.099861	-0.214533	-0.104049	0.175083	3.727129	-0.102669	0.096775	-0.127369	0.002993	0.063972	-0.157532	-0.21888	0.067919	0.050935	-0.061079	-0.091093	-0.002992	-0.076778	-0.071493	-0.074568	0.1157	-0.094348	-0.152853	-0.009578	-0.16551	-0.021491	-0.013166	0.138514	0.008987	0.146542	0.087229	-0.098417	0.100219	0.074012	0.068869	0.053253	0.047477	0.156531	0.204387	0.074768	0.077756	-0.076517	0.057199	-0.111065	0.022134	0.008669	0.172576	0.129863	-0.012679	0.009706	-0.130866	0.123186	-0.145179	0.117521	-0.00401	-0.039888	-0.146024	0.048606	0.005172	-0.002931	0.14956	0.022366	0.036391	0.01692	-0.080524	0.045524	0.003952	-0.139139	-0.041127	-0.062112	-0.030418	-0.001204	-0.005824	-0.038798	0.147977	0.298932	0.012305	0.02757	0.133053	0.138037	0.095944	0.011626	-0.365402	-0.073204	0.070935	-0.177457	0.150682	-0.039552	-0.008118	0.164443	0.01361	0.020582	-0.13663	0.01328	0.023252	0.226721	0.025583	-0.011122	-0.045625	-0.049969	0.050066	0.005188	0.104037	-0.116321	-0.079375	0.07511	0.037503	0.070422	-0.22579	0.019549	-0.104007	0.229802	0.123261	-0.080178	-0.018885	-0.157092	0.038065	-0.032866	-0.00762	-0.181698	0.35611	-0.01358	-0.158457	-0.009922	-0.112511	-0.075484	-0.005869	0.230411	0.028801	-0.032621	0.191925	0.038054	0.150903	0.097469	0.07432	0.096884	-0.030759	-0.161477	-0.06429	-0.193433	-0.205126	0.074933	-0.015752	-0.172852	-0.034778	0.087244	-0.243938	-0.120279	0.009649	0.094913	0.098545	0.013525	0.004772	0.069777	-0.168817	0.015327	0.120593	0.135537	0.104392	-0.04282	-0.00773	-0.008984	-0.051129	0.125266	-0.130076	0.057509	0.054074	-0.020704	0.010848	0.093438	0.070147	-0.065695	0.118949	-0.16955	0.007888	-0.058948	0.161808	0.001978	-0.233899	0.041057	0.232373	0.079385	-0.0564	-0.189487	0.094244	-0.04257	-0.02354	-0.037218	0.127322	0.001225	0.139933	0.084335	-0.017928	-0.047742	0.016923	0.187807	0.155995	-0.032176	0.046262	-0.030125	0.048474	-0.04719	0.056476	-0.007696	0.053463	-0.044675	-0.119515	0.126792	-0.015906	-0.00674	0.055635	0.037624	-0.097903	-0.07779	0.004486	0.073888	-0.026144	-0.138097	-0.08469	-0.010239	-0.021325	0.084047	-0.128892	-0.225467	-0.038119	0.013637	-0.095046	-0.087635	0.082249	-0.124979	0.06234	-0.00638	0.144127	0.029401	-0.123606	0.059025	0.013261	0.061296	-0.126568	0.057662	-0.102086	0.047026	0.105419	-0.096171	-0.022493	0.091486	0.055809	-0.004312	0.05142	-0.094011	0.029568	-0.068265	-0.030489	-0.056278	-0.021578	-0.059251	0.062986	-0.394343	0.085631	-0.065313	0.028117	0.093463	0.06973	-0.028167	0.006859	-0.070954	-0.051906	-0.095668	-0.034072	-0.073894	-0.030152	-0.07048	0.109245	0.018195	0.198892	-0.025132	-0.03714	-0.086719	0.011454	-0.00371	-0.033137	0.113187	0.101461	-0.273474	0.065577	0.11319	-0.121217	-0.00708	-0.126652	0.036325	-0.055529	0.045903	0.09209	0.108389	0.083692	0.007559	-0.056098	-0.093754	-0.161214	-0.084347	0.026775	-0.005965	0.015973	0.174338	0.072745	0.097679	0.265091	-0.087191	0.081711	0.112786	-0.028006	-0.030346	0.088709	-0.051454	0.064565	0.097803	-0.075685	0.105993	0.196705	-0.128493	0.109695	-0.107046	0.058847	0.0069	-0.087093	-0.037142	0.04899	0.100776	0.103749	-0.114595	0.104365	-0.039096	-0.050653	-0.066909	0.065859	-0.09175	-0.291273	-0.237163	-0.011779	0.308743	0.088937	0.102544	-0.150961	0.065526	-0.273485	-0.007825	0.049432	0.100482	0.072179	-0.02606	0.045211	0.004419	-0.09624	-0.07047	-0.207813	0.183107	0.143619	-0.129019	0.076282	0.003006	-0.123133	0.01087	0.122429	0.083204	0.149139	-0.090918	-0.146488	-0.003134	-0.094056	0.190855	-0.019509	-0.185927	-0.138427	0.224348	0.177134	-0.155884	0.132963	-0.072425	-0.082553	0.10633	0.094794	-0.01859	-0.022729	0.052151	0.054634	-0.030416	-0.046785	-0.023074	0.02959	-0.113577	0.030525	-0.102362	-0.043594	0.025975	0.066177	0.04836	-0.071093	-0.030856	0.105804	-0.104778	-0.023102	0.077452	0.080938	0.332443	-0.121267	0.090486	-0.083822	0.000615	0.106991	-0.130049	-0.041315	-0.082044	0.036224	-0.040848	-0.026513	-0.246702	0.026327	-0.151586	-1.373803	0.036489	0.19412	-0.028429	0.15056	-0.137241	-0.03152	-0.256138	0.115147	0.012298	0.155206	-0.154019	-0.043452	0.09922	0.057887	-0.143388	-0.067401	0.119245	0.108026	0.00755	42.517529
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true_melting_point

Part of TabBioMed (TabBioMed: A Large-Scale Benchmark for Biomedical Tabular Learning), a benchmark of 94 curated biomedical tabular datasets. Code, preprocessing and documentation: https://github.com/AI-sandbox/TabBioMed.

Sequence-level regression task predicting the melting temperature of proteins. Data originates from the Thermostability Atlas, compiled via a mass spectrometry-based proteomic approach. Splits follow the 'mixed' strategy from FLIP: sequences are clustered at 20% identity, with 80% of clusters assigned to train and 20% to test, avoiding over-emphasis of large clusters. The source provides coding DNA sequences (CDS); they were translated with the standard genetic code before featurization, and nonsense mutants (CDS with a premature in-frame stop codon) were removed from all splits. Features: mean-pooled ESM-2 (esm2_t12_35M_UR50D) embeddings of the translated protein.

Domain	Task	Samples	Features	Classes
Proteomics	regression	12,144	480	-

Splits. Fixed train/val/test split (9432/1064/1648 rows).

Files

data/**.parquet: one row per sample. row_idx is the row index in the original TabBioMed array; f_<i>[_<name>] are the features (in order); target (or target_<j> for multi-target tasks) is the label. Categorical feature indices (0-based, among the features): []. Missing values are stored as nulls.
metadata.json: TabBioMed task metadata (task type, categorical indices, source, description).
feature_names.json: original feature names, in column order.

from datasets import load_dataset
ds = load_dataset("TabBioMed/true_melting_point")

A Croissant (1.1) description with Responsible-AI fields is distributed with the TabBioMed release.

Source and license

Source: InstaDeepAI/true-cds-protein-tasks (Hugging Face). Original data from the Thermostability Atlas (mass spectrometry-based proteomics). Splits follow the 'mixed' split strategy from FLIP: sequences clustered at 20% identity, 80% of clusters assigned to train and 20% to test.

This derived dataset is distributed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Please also cite and respect the terms of the original source.

Citation

@inproceedings{tabbiomed2026,
  title     = {TabBioMed: A Large-Scale Benchmark for Biomedical Tabular Learning},
  author    = {Mateo Bernad{\'o}, Pau and Polapragada, Saivenkata Nagavyjayanthi and Bonet, David and Arbiol Rakuljic, Pol and Mogas Pladevall, Laia and Comajoan Cara, Mar{\c{c}}al and Gonzalez Ferrer, Jesus and Abante, Jordi and Mas Montserrat, Daniel and Haussler, David and Ioannidis, Alexander G.},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS), Evaluations and Datasets Track},
  year      = {2026}
}

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