Skip to content

feat(deps): add rouge extra for ROUGE scoring deps #506

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
anandhu-eng wants to merge 1 commit into
base: main
Choose a base branch
from
Open

feat(deps): add rouge extra for ROUGE scoring deps #506

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
13 changes: 13 additions & 0 deletions pyproject.toml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -134,6 +134,7 @@ dev = [
test = [
# Includes optional dependencies for full test coverage
"inference-endpoint[sql]",
"inference-endpoint[rouge]",
# Testing framework
"pytest==9.0.3",
"pytest-asyncio==1.3.0",
Expand All @@ -157,6 +158,18 @@ performance = [
"pytest-benchmark==5.2.3",
"memory-profiler==0.61.0",
]
rouge = [
# ROUGE text-generation scoring (eval_method: "rouge"), used by the Llama
# CNN-DailyMail / OpenOrca accuracy paths. Imported lazily in
# evaluation/scoring.py, so the base install stays lean. Resolves cleanly
# against the pinned datasets==5.0.1 - no conflicts fork needed, unlike bfcl.
# NOTE: not self-contained at runtime - nltk needs the punkt/punkt_tab
# corpora and evaluate.load("rouge") fetches its metric script from the HF
# Hub, so an offline image must prefetch both.
"nltk==3.10.3",
"evaluate==0.4.6",
"rouge-score==0.1.2",
]
bfcl = [
# BFCL v4 function-calling evaluation. Pins numpy==1.26.4, which is why
# the top-level numpy requirement is a lower bound (>=1.26.4).
Expand Down
Loading
Loading