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Measure performance and accuracy on customized dataset

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
c

Research direction

Start by reproducing the medium-performance benchmark with EE_MODEL_VERSION set to the custom dataset and the dataset under /ulp-mlperf/datasets/. Trace why benchmark mode reports “Need at least 5 inputs” and determine the requirements for measuring performance and accuracy on datasets beyond ad, vww, kws, and ic. Done means custom-dataset evaluation works or its supported limitations are documented.

Written by the indexing model from the issue text.

Description

Hi,
Is there any way to measure performance and accuracy on customized dataset (other than ad, vww, kws, ic) ?
I have tried setting EE_MODEL_VERSION to my own dataset and put the dataset under /ulp-mlperf/datasets/ directory, but I got the following error when running medium performance:

Need at least 5 inputs to run benchmark mode
Dominant language
C
Stars
479
Forks
116
PR merge metrics
No merged PRs in 30d

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