44 lines
1.4 KiB
Markdown
44 lines
1.4 KiB
Markdown
# Nemesis
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Nemesis is the public-facing investigative interface as the result of Operation Diponegoro, initiated by Abil Sudarman School of Artificial Intelligence. We ingest millions of rows of procurement data, surface anomalies, and make the findings legible to citizens, journalists, and policymakers.
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assai.id/nemesis
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> End the vampire ball.
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Mohon bersabar, file-file sedang dalam proses finalisasi.
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## Release Status
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| Asset | Status | ETA |
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|-------|--------|-----|
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| Dashboard URL | 🟡 In progress | 17 April |
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| SQL / SQLite / Raw Dataset Files | 🟡 In progress | 18 April |
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Stay tuned.
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## Downloads
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### Raw Dataset (Analyzed by GPT-5.4)
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[Download SIRUP dataset (analyzed)](https://contenflowstorage.blob.core.windows.net/shared/gpt-5.4-analyzed-sirup.zip?sp=r&st=2026-04-16T12:00:08Z&se=2029-04-16T20:15:08Z&spr=https&sv=2025-11-05&sr=b&sig=m%2FATynnnZq5gSdP8xWWw2ew41EMJZz09fDQRwpbWolk%3D)
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### 1. Prepare the Database
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Download and unzip the raw dataset, then convert it to SQLite:
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```bash
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# Unzip the dataset
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unzip gpt-5.4-analyzed-sirup.zip
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# Convert to SQLite (adjust based on source format)
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# Place the resulting .sqlite file at the expected path:
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mv dashboard.sqlite backend/data/dashboard.sqlite
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```
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The backend expects the database at `backend/data/dashboard.sqlite`.
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### 2. Run the Application
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> ⚠️ Note: This is a time-limited SAS URL that expires on 16 April 2026 at 20:15 UTC. Request a refreshed link if access has lapsed.
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