11ca3a1e3083b04a3768f14daa574762a3d3f0bd8a444e5fa4a17fe94b4cf1e9  build_dataset.py
0578b3610917adbcdcf6f160cb5e4a0b00c3b29c7248491500af8ab1c2337679  processes.json
753ed795f1106d8b04c6154972cbb1cae88e358f951d6d1f86d71840f40c17ce  dn-sme-agent-opportunity-finder-v1.0.csv
f8dd8e667af5d02e78b8c69e660a3d4855e3a17f94ce9d7b894e5f315990de24  METHODOLOGY.txt
1938fd756bcb429229b41227de8feb5e45a322c6ce46ffbd6d87d6049cc9045d  dataset-summary.json
ec87699ba9f189577738a8a83f7edd065c8f6aad6d79c451080f202426f9ca64  research-sources.json
82a1e4f01c5111f733cd715658e9b0be34e44ff53ee8d3cca17239c1d7deeffc  review-report.json
ceb25c4ab5aebf795a030bea1c1b7d457c8590605515c95827b76bbee778b1dd  README.txt
