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.

82
anthropic/claude-3.7-sonnet
Average duration
10s
Average tokens
1238
Average cost
$0.00
100
12s
1276
opper_normalization_sample_01
50
10s
1459
opper_normalization_sample_02
100
12s
1530
opper_normalization_sample_03
100
8s
1162
opper_normalization_sample_04
50
9s
1618
opper_normalization_sample_05
50
11s
1646
opper_normalization_sample_06
100
10s
1853
opper_normalization_sample_07
50
14s
1718
opper_normalization_sample_08
50
18s
2188
opper_normalization_sample_09
50
7s
604
opper_normalization_sample_10
100
6s
516
opper_normalization_sample_11
100
9s
853
opper_normalization_sample_12
100
7s
975
opper_normalization_sample_13
100
8s
1003
opper_normalization_sample_14
100
9s
1250
opper_normalization_sample_15
100
6s
777
opper_normalization_sample_16
100
6s
746
opper_normalization_sample_17
100
8s
782
opper_normalization_sample_18
100
6s
755
opper_normalization_sample_19
50
23s
1925
opper_normalization_sample_20
0
8s
794
opper_normalization_sample_21
100
8s
966
opper_normalization_sample_22
100
9s
1342
opper_normalization_sample_23
100
9s
1448
opper_normalization_sample_24
100
8s
1334
opper_normalization_sample_25
50
10s
1456
opper_normalization_sample_26
100
9s
1460
opper_normalization_sample_27