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.

83
fireworks/deepseek-r1
Average duration
18s
Average tokens
1994
Average cost
$0.00
50
44s
4525
opper_normalization_sample_01
50
28s
3699
opper_normalization_sample_02
100
17s
2605
opper_normalization_sample_03
50
28s
3464
opper_normalization_sample_04
50
14s
1974
opper_normalization_sample_05
50
18s
1874
opper_normalization_sample_06
0
17s
2401
opper_normalization_sample_07
50
46s
4255
opper_normalization_sample_08
50
52s
4937
opper_normalization_sample_09
100
32s
2912
opper_normalization_sample_10
100
18s
1355
opper_normalization_sample_11
100
11s
987
opper_normalization_sample_12
100
9s
1098
opper_normalization_sample_13
100
9s
1032
opper_normalization_sample_14
100
9s
1250
opper_normalization_sample_15
100
10s
1025
opper_normalization_sample_16
100
14s
1181
opper_normalization_sample_17
100
9s
936
opper_normalization_sample_18
100
7s
804
opper_normalization_sample_19
100
17s
2373
opper_normalization_sample_20
100
18s
1148
opper_normalization_sample_21
100
16s
924
opper_normalization_sample_22
100
10s
1379
opper_normalization_sample_23
100
12s
1513
opper_normalization_sample_24
100
8s
1313
opper_normalization_sample_25
100
11s
1475
opper_normalization_sample_26
100
8s
1400
opper_normalization_sample_27