-
Notifications
You must be signed in to change notification settings - Fork 48
Open
Conversation
IbnuEyni
added a commit
to IbnuEyni/oracle-forge
that referenced
this pull request
Apr 18, 2026
shreyashankar
commented
Apr 22, 2026
Collaborator
Hi @IbnuEyni — we can't re-validate this submission as-is because the JSON has only aggregate counts (overall, per-dataset {passed, total}). Please re-emit according to the instructions in the README — an array of {"dataset", "query", "run", "answer"} entries, one per run, covering every query across all 12 datasets with at least 5 runs each. Once the file is in I'll verify and post the Pass@1 here.
2 tasks
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
BLOOM Team — Oracle Forge
Programme: TRP1 FDE April 2026
Model: google/gemini-3.1-pro-preview
Overall Score: 19/54 = 35.2% pass@1
Repo: https://github.com/IbnuEyni/oracle-forge
Architecture
3-layer KB context injection (~16KB per query):
Results