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
openai/o1-mini
Average duration
18s
Average tokens
1984
Average cost
$0.00
100
16s
1758
opper_normalization_sample_01
50
16s
3574
opper_normalization_sample_02
100
13s
1737
opper_normalization_sample_03
100
16s
1822
opper_normalization_sample_04
50
20s
2403
opper_normalization_sample_05
50
16s
2184
opper_normalization_sample_06
100
19s
2392
opper_normalization_sample_07
50
1m 4s
2692
opper_normalization_sample_08
100
19s
4045
opper_normalization_sample_09
0
16s
1654
opper_normalization_sample_10
100
13s
1296
opper_normalization_sample_11
100
15s
1543
opper_normalization_sample_12
50
13s
2157
opper_normalization_sample_13
100
19s
1639
opper_normalization_sample_14
50
19s
1274
opper_normalization_sample_15
100
17s
1297
opper_normalization_sample_16
100
16s
1645
opper_normalization_sample_17
100
15s
1491
opper_normalization_sample_18
100
19s
1449
opper_normalization_sample_19
100
15s
2931
opper_normalization_sample_20
50
16s
1338
opper_normalization_sample_21
100
15s
2303
opper_normalization_sample_22
100
15s
1803
opper_normalization_sample_23
100
13s
1775
opper_normalization_sample_24
100
13s
1583
opper_normalization_sample_25
50
18s
2087
opper_normalization_sample_26
100
16s
1709
opper_normalization_sample_27