Migrate from pip to uv for dependency management

Replace requirements.txt with pyproject.toml and uv.lock. Update all
commands in README.md and CLAUDE.md to use uv sync / uv run.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

CLAUDE.md

@@ -10,15 +10,14 @@ A benchmark for evaluating vision-capable LLMs on Indian competitive exam questi
 
 ```bash
 # Setup
-python3 -m venv hf-env && source hf-env/bin/activate
-pip install -r requirements.txt
+uv sync
 echo "OPENROUTER_API_KEY=your_key" > .env
 
 # Must run from project root (paths are resolved relative to cwd)
-python src/benchmark_runner.py --model "google/gemini-2.5-pro-preview-03-25" --exam_name JEE_ADVANCED --exam_year 2025
+uv run python src/benchmark_runner.py --model "google/gemini-2.5-pro-preview-03-25" --exam_name JEE_ADVANCED --exam_year 2025
 
 # Filter by question IDs
-python src/benchmark_runner.py --model "openai/o3" --question_ids "N24T3001,N24T3002"
+uv run python src/benchmark_runner.py --model "openai/o3" --question_ids "N24T3001,N24T3002"
 ```
 
 CLI args: `--model` (required), `--exam_name` (all/NEET/JEE_ADVANCED/JEE_MAIN), `--exam_year` (all/2024/2025), `--question_ids`, `--output_dir`, `--config`, `--resume`.
@@ -27,12 +26,12 @@ CLI args: `--model` (required), `--exam_name` (all/NEET/JEE_ADVANCED/JEE_MAIN),
 
 ```bash
 # Run the full pytest suite (68 tests)
-python -m pytest tests/ -v
+uv run pytest tests/ -v
 
 # Run individual module self-tests
-python src/utils.py        # answer parsing logic
-python src/evaluation.py   # scoring logic
-python src/llm_interface.py  # API calls (requires .env and network)
+uv run python src/utils.py        # answer parsing logic
+uv run python src/evaluation.py   # scoring logic
+uv run python src/llm_interface.py  # API calls (requires .env and network)
 ```
 
 ## Architecture

README.md

@@ -112,10 +112,7 @@ This repository contains scripts to run the benchmark evaluation directly:
 
 2.  **Install dependencies:**
     ```bash
-    # It's recommended to use a virtual environment
-    python -m venv venv
-    source venv/bin/activate  # On Windows: venv\Scripts\activate
-    pip install -r requirements.txt
+    uv sync
     ```
 
 3.  **Configure API Key:**
@@ -142,33 +139,33 @@ This repository contains scripts to run the benchmark evaluation directly:
 
     **Basic usage (run all available models on all questions):**
     ```bash
-    python src/benchmark_runner.py --config configs/benchmark_config.yaml --model "google/gemini-2.5-pro-preview-03-25"
+    uv run python src/benchmark_runner.py --config configs/benchmark_config.yaml --model "google/gemini-2.5-pro-preview-03-25"
     ```
 
     **Filter by exam and year:**
     ```bash
     # Run only NEET 2024 questions
-    python src/benchmark_runner.py --config configs/benchmark_config.yaml --model "openai/o3" --exam_name NEET --exam_year 2024
+    uv run python src/benchmark_runner.py --config configs/benchmark_config.yaml --model "openai/o3" --exam_name NEET --exam_year 2024
 
     # Run only JEE Advanced 2025 questions
-    python src/benchmark_runner.py --config configs/benchmark_config.yaml --model "anthropic/claude-sonnet-4" --exam_name JEE_ADVANCED --exam_year 2025
+    uv run python src/benchmark_runner.py --config configs/benchmark_config.yaml --model "anthropic/claude-sonnet-4" --exam_name JEE_ADVANCED --exam_year 2025
     ```
 
     **Run specific questions:**
     ```bash
     # Run specific question IDs
-    python src/benchmark_runner.py --config configs/benchmark_config.yaml --model "google/gemini-2.5-pro-preview-03-25" --question_ids "N24T3001,N24T3002,JA24P1M01"
+    uv run python src/benchmark_runner.py --config configs/benchmark_config.yaml --model "google/gemini-2.5-pro-preview-03-25" --question_ids "N24T3001,N24T3002,JA24P1M01"
     ```
 
     **Resume an interrupted run:**
     ```bash
     # Resume from an existing results directory (skips already-completed questions)
-    python src/benchmark_runner.py --model "google/gemini-2.5-pro-preview-03-25" --resume results/google_gemini-2.5-pro-preview-03-25_NEET_2024_20250524_141230
+    uv run python src/benchmark_runner.py --model "google/gemini-2.5-pro-preview-03-25" --resume results/google_gemini-2.5-pro-preview-03-25_NEET_2024_20250524_141230
     ```
 
     **Custom output directory:**
     ```bash
-    python src/benchmark_runner.py --config configs/benchmark_config.yaml --model "openai/gpt-4o" --output_dir my_custom_results
+    uv run python src/benchmark_runner.py --config configs/benchmark_config.yaml --model "openai/gpt-4o" --output_dir my_custom_results
     ```
 
     **Available options:**

pyproject.toml

@@ -0,0 +1,17 @@
+[project]
+name = "jee-neet-benchmark"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "datasets==3.5.1",
+    "huggingface-hub==0.30.2",
+    "pillow==11.2.1",
+    "pytest==9.0.2",
+    "python-dotenv==1.1.0",
+    "pyyaml==6.0.2",
+    "requests==2.32.3",
+    "tenacity==9.1.2",
+    "tqdm==4.67.1",
+]

requirements.txt

@@ -1,26 +0,0 @@
-# Core Hugging Face library for dataset loading
-datasets==3.5.1
-
-# For interacting with the Hugging Face Hub
-huggingface_hub==0.30.2
-
-# Image processing library (required by datasets.Image)
-Pillow==11.2.1
-
-# For making API calls (e.g., to OpenRouter)
-requests==2.32.3
-
-# For handling YAML configuration files
-PyYAML==6.0.2
-
-# For managing environment variables (e.g., API keys)
-python-dotenv==1.1.0
-
-# For handling retries during API calls
-tenacity==9.1.2
-
-# For progress bars in benchmark execution
-tqdm==4.67.1
-
-# For running tests
-pytest==9.0.2