Roles, branches, and tasks (entire project)
Team
- Gemima Ondele
- Kachallah Fatima
- Mike-Brady
- Joseph Fabrice TSAPFACK
Branch assignment (primary)
- Gemima:
feat/data-pipeline(data lead) - Fatima:
feat/evaluation(evaluation lead) - Mike:
feat/training(modeling lead) - Joseph:
feat/demo(demo and packaging lead)
Roles and tasks by week
W1 (Dataset pipeline)
- Gemima (data lead)
- Implement
download_data.pycleaning + filters - Export JSONL splits
- Validate schema consistency
- Implement
- Fatima (data QA + docs)
- Define filtering thresholds
- Produce dataset stats and short summary
- Update README pipeline section
- Mike (data QA)
- Verify split ratios and random seed
- Smoke test JSONL loading
- Joseph (repo hygiene)
- Maintain folder structure
- Update
CONTRIBUTING.mdand doc links
W2 (Baseline + rubric)
- Gemima
- Baseline generation script setup
- Save sample outputs for review
- Fatima (evaluation lead)
- Define test prompt set (50+)
- Create human rubric (coherence, creativity, faithfulness)
- Mike
- Configure baseline model settings (distilgpt2)
- Document failure modes
- Joseph
- Organize evaluation artifacts in repo
W3 (Fine-tuning)
- Gemima
- Data loader and training-ready format check
- Mike (modeling lead)
- Fine-tuning script (HF Trainer)
- Track training curves and checkpoints
- Fatima
- Prepare evaluation notebook/script for W4
- Joseph
- Ensure reproducible run steps in README
W4 (Control + evaluation)
- Gemima
- Add control fields (level/setting/tone) in prompts if used
- Fatima (evaluation lead)
- Run baseline vs tuned evaluation
- Summarize metrics and rubric scores
- Mike
- Assist with controllability tests
- Joseph
- Compile examples for report/presentation
W5 (Demo + report)
- Gemima
- Final polish on data/scripts
- Fatima
- Lead report writing (4-8 pages)
- Mike
- Final model selection and results tables
- Joseph (demo lead)
- Build Streamlit/Gradio demo
- Prepare presentation slides