# Configuration for the scripts in this repo. Copy to .env and edit:
#     cp example.env .env
# The eval scripts read .env automatically; build_corpus.py reads
# NYSENATE_API_KEY from it (use --data-dir or export DATA_DIR for the rest).
# Every value is optional -- the defaults shown are what the scripts assume.

# OpenLegislation API key for the statute scrape in build_corpus.py
# (free key: https://legislation.nysenate.gov)
NYSENATE_API_KEY=

# Folder holding the corpus documents listed in sources.csv
DATA_DIR=RAG Data

# Where results/ and emb/ (embedding caches) are written
SCRATCH=.

# The 75-item project eval set
EVAL_PATH=eval_set_v1.jsonl

# Generator model and a tag appended to output filenames
GEN_MODEL=Qwen/Qwen3-4B-Instruct-2507
MODEL_TAG=

# External benchmark data locations
# git clone https://github.com/IBM/mt-rag-benchmark  (then unzip corpora/passage_level/govt.jsonl.zip)
MTRAG_REPO=mt-rag-benchmark
# LegalBench-RAG bundle from the link in https://github.com/ZeroEntropy-AI/legalbenchrag
LEGALBENCHRAG_ROOT=legalbenchrag

# HuggingFace model cache location
# HF_HOME=/path/to/hf-cache