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
anthropic/claude-3.5-sonnet
Average duration
8s
Average tokens
1174
Average cost
$0.00
50
8s
1211
opper_normalization_sample_01
50
10s
1397
opper_normalization_sample_02
100
8s
1473
opper_normalization_sample_03
50
8s
1123
opper_normalization_sample_04
50
8s
1509
opper_normalization_sample_05
50
7s
1379
opper_normalization_sample_06
100
9s
1769
opper_normalization_sample_07
50
13s
1665
opper_normalization_sample_08
50
15s
2094
opper_normalization_sample_09
100
7s
592
opper_normalization_sample_10
100
5s
515
opper_normalization_sample_11
100
5s
733
opper_normalization_sample_12
100
8s
989
opper_normalization_sample_13
100
7s
956
opper_normalization_sample_14
100
7s
1216
opper_normalization_sample_15
100
8s
767
opper_normalization_sample_16
100
8s
771
opper_normalization_sample_17
100
7s
770
opper_normalization_sample_18
100
7s
765
opper_normalization_sample_19
50
9s
1928
opper_normalization_sample_20
0
8s
765
opper_normalization_sample_21
100
7s
833
opper_normalization_sample_22
100
9s
1269
opper_normalization_sample_23
100
8s
1292
opper_normalization_sample_24
100
8s
1221
opper_normalization_sample_25
50
9s
1356
opper_normalization_sample_26
100
8s
1351
opper_normalization_sample_27