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.

70
anthropic/claude-3.5-haiku
Average duration
7s
Average tokens
1139
Average cost
$0.00
100
6s
1105
opper_normalization_sample_01
50
7s
1295
opper_normalization_sample_02
100
7s
1487
opper_normalization_sample_03
50
7s
1048
opper_normalization_sample_04
50
6s
1430
opper_normalization_sample_05
50
6s
1362
opper_normalization_sample_06
0
8s
1750
opper_normalization_sample_07
50
11s
1534
opper_normalization_sample_08
0
14s
1972
opper_normalization_sample_09
100
5s
577
opper_normalization_sample_10
100
6s
534
opper_normalization_sample_11
100
4s
705
opper_normalization_sample_12
100
5s
909
opper_normalization_sample_13
100
5s
908
opper_normalization_sample_14
100
6s
1125
opper_normalization_sample_15
100
5s
723
opper_normalization_sample_16
100
5s
717
opper_normalization_sample_17
100
6s
764
opper_normalization_sample_18
100
4s
693
opper_normalization_sample_19
50
7s
1836
opper_normalization_sample_20
0
6s
697
opper_normalization_sample_21
50
10s
1280
opper_normalization_sample_22
50
6s
1242
opper_normalization_sample_23
100
7s
1271
opper_normalization_sample_24
50
7s
1209
opper_normalization_sample_25
50
6s
1295
opper_normalization_sample_26
100
7s
1285
opper_normalization_sample_27