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# Data - RAW and annotation files (not needed for reproduction)
data/raw/
data/label_studio/
data/intermediate/
# Data - CSV files in data root (not needed for reproduction)
data/*.csv
data/tco_cache.json
# Data - Keep only processed splits and tweet IDs for reproduction
!data/processed/
!data/processed/train.json
!data/processed/val.json
!data/processed/test.json
!data/tweet_ids.txt
# Models (too large for git)
models/encoders/*/checkpoint-*/
models/encoders/*/optimizer.pt
models/encoders/*/model.safetensors
models/encoders_crf/*/model.pt
# LLM fine-tuned models (large files)
models/llm_finetuned/checkpoint-*/
models/llm_finetuned/adapter_model.safetensors
models/gemma_finetuned/checkpoint-*/
models/gemma_finetuned/adapter_model.safetensors
models/qwen_finetuned/checkpoint-*/
models/qwen_finetuned/adapter_model.safetensors
# Keep model configs and tokenizers (small, needed)
!models/encoders/*/config.json
!models/encoders/*/tokenizer*.json
!models/encoders/*/vocab.txt
!models/encoders_crf/*/label_map.json
!models/encoders_crf/*/tokenizer/
# Inference results (large)
inference/
# Python
__pycache__/
*.pyc
*.pyo
*.pyd
.Python
.venv/
venv/
env/
# Jupyter
.ipynb_checkpoints/
*.ipynb_checkpoints
# IDE
.vscode/
.idea/
*.swp
*.swo
# OS
.DS_Store
Thumbs.db
# Environment
.env
*.log
# Cache
.cache/
*.cache