Data Normalization

Data processing and normalization tasks evaluate structured output from messy prose and different structures. This capability is essential for catalogue and product pipelines where data needs to be extracted from unstructured text and formatted consistently. Models must understand the desired output format and extract relevant information accurately.

80
openai/o3
Average duration
24s
Average tokens
1393
Average cost
$0.00
50
20s
1346
opper_normalization_sample_01
50
29s
1851
opper_normalization_sample_02
100
17s
1289
opper_normalization_sample_03
0
2m 19s
1839
opper_normalization_sample_04
50
26s
1819
opper_normalization_sample_05
50
29s
2207
opper_normalization_sample_06
100
17s
1684
opper_normalization_sample_07
50
33s
2463
opper_normalization_sample_08
50
20s
2053
opper_normalization_sample_09
100
33s
2064
opper_normalization_sample_10
100
8s
658
opper_normalization_sample_11
100
20s
925
opper_normalization_sample_12
100
20s
1298
opper_normalization_sample_13
100
17s
968
opper_normalization_sample_14
100
17s
1269
opper_normalization_sample_15
100
17s
872
opper_normalization_sample_16
100
17s
764
opper_normalization_sample_17
100
8s
705
opper_normalization_sample_18
100
17s
994
opper_normalization_sample_19
50
17s
1717
opper_normalization_sample_20
0
17s
948
opper_normalization_sample_21
100
22s
1287
opper_normalization_sample_22
100
19s
1433
opper_normalization_sample_23
100
16s
1246
opper_normalization_sample_24
100
10s
1294
opper_normalization_sample_25
100
17s
1296
opper_normalization_sample_26
100
16s
1323
opper_normalization_sample_27