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.

85
openai/o1
Average duration
20s
Average tokens
1905
Average cost
$0.00
50
24s
2536
opper_normalization_sample_01
50
27s
3226
opper_normalization_sample_02
100
19s
1495
opper_normalization_sample_03
100
22s
2036
opper_normalization_sample_04
50
22s
2380
opper_normalization_sample_05
50
22s
2581
opper_normalization_sample_06
100
20s
1957
opper_normalization_sample_07
50
42s
3233
opper_normalization_sample_08
50
20s
2477
opper_normalization_sample_09
50
29s
3370
opper_normalization_sample_10
100
19s
1008
opper_normalization_sample_11
100
12s
1017
opper_normalization_sample_12
100
20s
1212
opper_normalization_sample_13
100
20s
1387
opper_normalization_sample_14
100
9s
1184
opper_normalization_sample_15
100
19s
1258
opper_normalization_sample_16
100
20s
1410
opper_normalization_sample_17
100
12s
1311
opper_normalization_sample_18
100
19s
1412
opper_normalization_sample_19
100
19s
2218
opper_normalization_sample_20
50
19s
1657
opper_normalization_sample_21
100
22s
2063
opper_normalization_sample_22
100
19s
1788
opper_normalization_sample_23
100
19s
1629
opper_normalization_sample_24
100
22s
1542
opper_normalization_sample_25
100
20s
1960
opper_normalization_sample_26
100
13s
2101
opper_normalization_sample_27