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.

52
mistral/mistral-small-eu
Average duration
0
Average tokens
0
Average cost
$0
50
null
0
opper_normalization_sample_01
0
null
0
opper_normalization_sample_02
0
null
0
opper_normalization_sample_03
0
null
0
opper_normalization_sample_04
50
null
0
opper_normalization_sample_05
0
null
0
opper_normalization_sample_06
0
null
0
opper_normalization_sample_07
0
null
0
opper_normalization_sample_08
50
null
0
opper_normalization_sample_09
50
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
50
null
0
opper_normalization_sample_15
100
null
0
opper_normalization_sample_16
100
null
0
opper_normalization_sample_17
100
null
0
opper_normalization_sample_18
100
null
0
opper_normalization_sample_19
50
null
0
opper_normalization_sample_20
50
null
0
opper_normalization_sample_21
0
null
0
opper_normalization_sample_22
50
null
0
opper_normalization_sample_23
50
null
0
opper_normalization_sample_24
100
null
0
opper_normalization_sample_25
50
null
0
opper_normalization_sample_26
0
null
0
opper_normalization_sample_27