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TranslatorSRI
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normalization-dashboard
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Rank normalization quality by source and CURIE prefix, over a local KGX Storage mirror
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Rank normalization quality by source and CURIE prefix, over a local KGX Storage mirror
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Commits on Aug 14, 2026
Added data/ as a scratch space.
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Ignore .idea/ (PyCharm project settings)
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Set up uv project scaffold
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Add rclone-based sync for KGX Storage normalization files
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Add CLAUDE.md with KGX Storage access notes
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Also mirror latest-build.json
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Add loader for normalization metadata
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Add local Dash app: source x prefix normalization ranking
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Document the dashboard, prefix case-folding and the truncated success_rate
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Note the node files as future sources of labels and Biolink types
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Record the total size of normalized_nodes.jsonl across builds
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Note that data/ is the scratch space for one-off jobs, not /tmp
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Link CURIEs out, and flag the malformed ones
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Carry build URLs and failures paths onto summary rows
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Add CURIE drill-down and rework the table layout
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Document CURIE linking, the vendored prefix map and the drill-down
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Find the mirror regardless of the working directory
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Keep DataTable rows scalar, fixing the invalid-argument error
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Show example failing CURIEs in the table
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Sample example CURIEs evenly, and drop the Observed as column
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Let the table use the whole window
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Highlight the whole selected row, and group the CURIE listing
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Group unnormalized CURIEs by why they failed
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Widen the intro and put real totals in the summary line
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Turn the intro into a scannable list, figures first
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Document the load-and-run pipeline in docs/Loading.md
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Bring CLAUDE.md up to date with what was actually built
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