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12 changes: 12 additions & 0 deletions evaluations/requirements-main.txt
Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,7 @@ joblib==1.4.2
# --- model API / shared ---
openai==2.44.0
litellm==1.77.3
tenacity>=8.5.0 # lm_eval API models (lm_eval/models/api_models.py) — unblocks aime25/gpqa/ifeval/logiqa/humaneval_chat/mbpp_chat/mmlu_cot/acp_gen (8 benchmarks)
datasets==3.6.0
huggingface-hub==0.35.0
tiktoken==0.7.0
Expand Down Expand Up @@ -59,6 +60,14 @@ pddl==0.4.2
kstar-planner==1.4.2
tarski==0.8.2
clingo==5.8.0
# PIN antlr4 to 4.7.x (ATN v3) for planbench. tarski 0.8.2's PDDL parser is
# built against antlr4-python3-runtime 4.7.x. lm_eval's math extra pulls
# latex2sympy2, which depends on antlr4 4.13.x (ATN v4) and silently breaks
# planbench plan tasks (task_1/2/4/5/6/8) at parse time with:
# "Could not deserialize ATN with version 3 (expected 4)."
# latex2sympy2 is therefore intentionally NOT listed here (mmmu-MCQ and
# visualpuzzles grading do not need it). Keep this pin.
antlr4-python3-runtime==4.7.2

# --- code: repobench ---
# NOTE: codebleu + tree-sitter 0.23.x are installed with --no-deps by
Expand All @@ -67,6 +76,7 @@ clingo==5.8.0
# bypassed. They are intentionally NOT listed here.
fuzzywuzzy==0.18.0
python-Levenshtein==0.27.3
anthropic>=0.75.0 # livecodebench: lcb_runner/.../claude_runner.py imports Anthropic at module load even when using the OpenAI endpoint — unblocks livecodebench

# --- debugbench (inference + LeetCode online-judge grading) ---
gym==0.26.2
Expand All @@ -81,6 +91,8 @@ einops==0.8.0
timm==1.0.12
sentencepiece==0.2.1
rouge==1.0.1
loguru>=0.7.0 # lmms_eval: lmms_eval/tasks/__init__.py imports loguru unconditionally as eval_logger — unblocks mmmu/visualpuzzles (any lmms_eval task)
google-generativeai # visualwebbench: run.py + gemini_adapter.py import it at module load — unblocks visualwebbench

# --- retrieval: beir_nfcorpus ---
beir==2.2.0
Expand Down