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
openai/gpt-5-mini
Average duration
0
Average tokens
0
Average cost
$0
0
null
0
opper_normalization_sample_01
50
null
0
opper_normalization_sample_02
100
null
0
opper_normalization_sample_03
0
null
0
opper_normalization_sample_04
50
null
0
opper_normalization_sample_05
50
null
0
opper_normalization_sample_06
0
null
0
opper_normalization_sample_07
50
null
0
opper_normalization_sample_08
50
null
0
opper_normalization_sample_09
100
null
0
opper_normalization_sample_10
100
null
0
opper_normalization_sample_11
100
null
0
opper_normalization_sample_12
100
null
0
opper_normalization_sample_13
100
null
0
opper_normalization_sample_14
100
null
0
opper_normalization_sample_15
50
null
0
opper_normalization_sample_16
100
null
0
opper_normalization_sample_17
50
null
0
opper_normalization_sample_18
50
null
0
opper_normalization_sample_19
50
null
0
opper_normalization_sample_20
50
null
0
opper_normalization_sample_21
100
null
0
opper_normalization_sample_22
100
null
0
opper_normalization_sample_23
100
null
0
opper_normalization_sample_24
100
null
0
opper_normalization_sample_25
100
null
0
opper_normalization_sample_26
100
null
0
opper_normalization_sample_27