Add LongMemEval benchmark harness - #70
Open
Atharva-Kanherkar wants to merge 1 commit into
Open
Atharva-Kanherkar wants to merge 1 commit into
Atharva-Kanherkar wants to merge 1 commit into
Conversation
|
The latest updates on your projects. Learn more about Vercel for GitHub.
|
This branch was successfully deployed
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
1 participant
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
harness
This pull request introduces a new LongMemEval benchmark harness for evaluating long-term conversational memory, adds corresponding tests, and improves configuration flexibility for embedding models and dimensions. It also updates development dependencies to support benchmarking.
LongMemEval benchmark harness:
README.md.tests/test_longmemeval_harness.pywith tests for session ordering, evidence marking, and exact match normalization in the harness.Configuration improvements:
config.pyto allowEMBEDDING_MODELandEMBEDDING_DIMENSIONSto be set via environment variables for easier configuration and experimentation.Development dependencies:
benchextra inpyproject.tomlto install OpenAI for benchmarking purposes.