yuxuanhui
fad932b0de
- Introduced new JSON files for normalized and raw inputs, source metadata, and public inputs. - Added findings document detailing the methodology and results of the score reconstruction. - Included member differences and worked examples for clarity on data discrepancies. - Implemented a Python script for reproducing scores based on public inputs. - Created SQL for raw reaggregation of data. - Added task metadata for tracking the research completion and validation metrics.
2 lines
254 B
JSON
2 lines
254 B
JSON
{"_example": "Fill with {\"file\": \"<path>\", \"reason\": \"<why>\"}. Put spec/research files only — no code paths. Run `python3 .trellis/scripts/get_context.py --mode packages` to list available specs. Delete this line once real entries are added."}
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