mlcommons / mlcommons/modelbench

Handle bad JSON in responses more constructively

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Dominant language
Python
Stars
134
Forks
36
Avg merge
1d 11h
Merged PRs (30d)
17

Description

Running a benchmark often runs into JSON parse errors. We should do output those in a way modellab can do something with.

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Research direction

The issue names no files or tests. Start by reproducing the JSON parse error during a benchmark and tracing where model responses are decoded. Done means malformed JSON produces output that modellab can use, but the issue does not define the required format or validation.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
testing-qa
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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