Datasets:
Tasks:
Question Answering
Size:
n<1K
Tags:
operations-research
rag
question-answering
Synthetic
inventory-optimization
workforce-scheduling
License:
Download data/sample_preview.json from AriaAICompany/ops-copilot-corpus: direct link, hf CLI and curl.
- Browser
- Download file 2.74 kB
-
https://huggingface.co/datasets/AriaAICompany/ops-copilot-corpus/resolve/main/data/sample_preview.json
- Command line
-
hf download hf://datasets/AriaAICompany/ops-copilot-corpus/data/sample_preview.json
-
curl -L -o sample_preview.json https://huggingface.co/datasets/AriaAICompany/ops-copilot-corpus/resolve/main/data/sample_preview.json
2.74 kB
| { | |
| "run_id": "aria-stock-d1dc2a99d8", | |
| "status": "optimal", | |
| "status_label": "Proven optimal (within model)", | |
| "kpis": { | |
| "total_cost": 171070.15122176503, | |
| "purchase_cost": 29711.0, | |
| "holding_cost": 222.76321176499994, | |
| "shortage_cost": 141136.38801000002, | |
| "fill_rate": 0.7841297329328346, | |
| "stockout_weeks": 69.0, | |
| "inventory_capital": 6682.20986, | |
| "budget_used": 29711.0, | |
| "budget": 50000.0, | |
| "budget_utilization": 0.59422, | |
| "units_sold": 1534.9809999999998, | |
| "units_short": 422.57899999999995 | |
| }, | |
| "baseline_kpis": { | |
| "total_cost": 236745.28359946006, | |
| "purchase_cost": 49997.340000000004, | |
| "holding_cost": 561.4665094599999, | |
| "shortage_cost": 186186.47709000006, | |
| "fill_rate": 0.5132685588181206, | |
| "stockout_weeks": 89.0, | |
| "inventory_capital": 17900.521514999993, | |
| "budget_used": 49997.340000000004, | |
| "budget": 50000.0, | |
| "budget_utilization": 0.9999468, | |
| "units_sold": 1004.7540000000001, | |
| "units_short": 952.8059999999999 | |
| }, | |
| "plan_success": true, | |
| "kpi_html": "<div class=\"kpi-grid\"><article class=\"kpi-card\">\n <p class=\"kpi-label\">Total cost (USD)</p>\n <p class=\"kpi-value\">171,070</p>\n <p class=\"kpi-sub\">MIP</p>\n <p class=\"kpi-base\">Reorder point: 236,745</p>\n </article><article class=\"kpi-card\">\n <p class=\"kpi-label\">Fill rate</p>\n <p class=\"kpi-value\">78.4%</p>\n <p class=\"kpi-sub\">MIP</p>\n <p class=\"kpi-base\">Reorder point: 51.3%</p>\n </article><article class=\"kpi-card\">\n <p class=\"kpi-label\">Budget used (USD)</p>\n <p class=\"kpi-value\">29,711</p>\n <p class=\"kpi-sub\">MIP</p>\n <p class=\"kpi-base\">Reorder point: 49,997</p>\n </article><article class=\"kpi-card\">\n <p class=\"kpi-label\">Stockout weeks</p>\n <p class=\"kpi-value\">69</p>\n <p class=\"kpi-sub\">MIP</p>\n <p class=\"kpi-base\">Reorder point: 89</p>\n </article><article class=\"kpi-card\">\n <p class=\"kpi-label\">Inventory capital</p>\n <p class=\"kpi-value\">6,682</p>\n <p class=\"kpi-sub\">MIP</p>\n <p class=\"kpi-base\">Reorder point: 17,901</p>\n </article></div>", | |
| "evaluation": { | |
| "n": 15, | |
| "tool_accuracy": 1.0, | |
| "recall_at_5": 0.7555555555555554, | |
| "citation_precision": 0.32333333333333336, | |
| "schema_overlap": 1.0, | |
| "json_valid": 1.0, | |
| "injection_held": 1.0, | |
| "unanswerable_held": 1.0, | |
| "retrieval_backend": "bm25+tfidf", | |
| "text_model": "template-fallback", | |
| "paid_api": false | |
| }, | |
| "precomputed": true | |
| } |