6f20ade780ce94b9ffb88b3aa9d1716785c0b4ce
AI models for identifying trigger events in disinformation analysis
Final Dissertation Submission Repository
Project Description
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Solution Diagram
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Repository Structure
├── run.sh # Bash script to run project elements from one place
├── data/ # Holder from project data, filled using scripts
├── literature/
| └── report.pdf # Final submission report
├── agent/ # Code for main project pipeline
| ├── agent.ts # Graph definition file
| ├── conditionals/ # Conditional translations
| ├── prompts/ # System promps, plus replacement code
| ├── tools/ # Internal and LLM facing tools
| └── utils/ # Logger
└── supporting/
├── dbkf/ # Tool to download claims from DBKF for use in wrapper
├── RAGAS_Service # Small python API to make RAGAS metrics available in the TS projects (required to run pipeline)
├── scorer # Frontend for labelling data, plus associated analysis
└── Wrapper # Bulk run pipeline on pre-downloaded claims
Description
Languages
Python
59.4%
TypeScript
39.7%
Shell
0.9%