Revise Flood and Coastal Risk Assessment in Banjul, The Gambia

[bennyistanto]

This PR will remove the old version (existing) of JSON metadata:

• PR: Add RDLS Dataset: flood-and-coastal-risk-assessment-and-priority-investment-planning-for-greater-banjul-area-the-gambia #96
• JSON: https://github.com/GFDRR/rdl-jkan/blob/rdl-0.3/_datasets/json/rdls_lss-gmb_floodcoastres.json
• JKAN: https://jkan.riskdatalibrary.org/datasets/rdls_lss-gmb_floodcoastres/

With the revised version, which include restructure resources list following the individual download link from DDH.

The dataset described in here https://github.com/GFDRR/rdl-datapipeline/issues/17

[github-actions]

📊 PR Sync Results

📝 Dataset Changes

• ✅ Added: 0 datasets
• 📝 Modified: 1 datasets
• 🗑️ Deleted: 2 datasets

📝 Modified Datasets (1)

• rdls_hevl-gmb_iucrp_floodcoastres

🗑️ Deleted Datasets (2)

• rdls_hel-lbr_monroviafloodrisk
• rdls_lss-gmb_floodcoastres

🧮 Vectors

• ✅ Vectors generated/updated (175 datasets)

✅ Validation

• ✅ 1/1 datasets passed validation

🧪 Search Tests

• ❌ 0/1 tests passed

❌ Failed: "vulnerability flood"

Description: Test adapted from comments on Issue #31

Expected includes:

Dataset	Expected	Found	Rank	Score
rdls_vln-jrc_glb_flood	✅	✅	3	0.4786
rdls_lss-gmb_floodcoastres	✅	❌	None	None
rdls_vln-undrr_glb_floodinfrastructure	✅	✅	23	0.4113
rdls_vln-wb_sfrarr_flood	✅	✅	21	0.4148
rdls_hevl-kentmrwcities_nairobi	✅	✅	27	0.3985
rdls_hevl-kentmrwcities_nakuru	✅	✅	15	0.4268
rdls_lss-tmrwcities_daressalaam	✅	✅	29	0.3821
rdls_hevl-bgdtmrwcities_chattogram	✅	✅	35	0.3761
rdls_hevl-ecutmrwcities_quito	✅	❌	66	0.2947
rdls_hevl-npltmrwcities_rapti	✅	❌	70	0.2813
rdls_hevl-psetmrwcities_nablus	✅	❌	79	0.2578
rdls_lss-tmrwcities_coxsbazar	✅	✅	38	0.3701
rdls_lss-tmrwcities_daressalaam	✅	✅	29	0.3821

Missing includes: rdls_lss-gmb_floodcoastres, rdls_hevl-ecutmrwcities_quito, rdls_hevl-npltmrwcities_rapti, rdls_hevl-psetmrwcities_nablus

Top 5 actual results:

Rank	Dataset	Score
1	rdls_hzd-wb_sfrarr_floodscenario	0.5040
2	rdls_hzd-fathom_glb_floodoac	0.4961
3	rdls_vln-jrc_glb_flood	0.4786
4	rdls_vln-wb_sfrarr_earthquake	0.4706
5	rdls_hevl-mdg_grma_fluvialfloodrisk	0.4668

[lydiascarf]

lgtm! just added a quick fix so that the loss hazard type would render correctly