{ "dataset_name": "collateral_distribution_and_liquidity", "dataset_version": "2026-04-07", "scenario_name": "seasonal_back_to_school", "scenario_signature": "6e537cd56435c38073ffc599717d3ef9f9be0492040687f804aeefb373027362", "schema_signature": "cb88c5165906c4bddce265582046ecd78913259cb0708171daaadfd35f5b5405", "canonical_hash": "1b60966a65a39597fc1424a8735d57b871eae25b44aa734e0a602c35c91bab08", "row_count": 48, "build_timestamp": "2026-04-07T00:30:47.641402+00:00", "bundle_dir": "C:\\gmb_final\\data\\generated_datasets\\synthetic\\collateral_distribution_and_liquidity\\2026-04-07_1b60966a65a3", "csv_path": "C:\\gmb_final\\data\\generated_datasets\\synthetic\\collateral_distribution_and_liquidity\\2026-04-07_1b60966a65a3\\collateral_distribution_and_liquidity.csv", "json_path": "C:\\gmb_final\\data\\generated_datasets\\synthetic\\collateral_distribution_and_liquidity\\2026-04-07_1b60966a65a3\\collateral_distribution_and_liquidity.json", "parquet_path": "C:\\gmb_final\\data\\generated_datasets\\synthetic\\collateral_distribution_and_liquidity\\2026-04-07_1b60966a65a3\\collateral_distribution_and_liquidity.parquet", "readme_path": "C:\\gmb_final\\data\\generated_datasets\\synthetic\\collateral_distribution_and_liquidity\\2026-04-07_1b60966a65a3\\README.md", "metadata_path": "C:\\gmb_final\\data\\generated_datasets\\synthetic\\collateral_distribution_and_liquidity\\2026-04-07_1b60966a65a3\\metadata.json", "schema": [ { "name": "category", "type": "string" }, { "name": "subcategory", "type": "string" }, { "name": "share_of_total_items", "type": "float" }, { "name": "avg_estimated_value", "type": "float" }, { "name": "median_estimated_value", "type": "float" }, { "name": "avg_loan_amount", "type": "float" }, { "name": "liquidity_score", "type": "float" }, { "name": "volatility_score", "type": "float" }, { "name": "seasonal_demand_index", "type": "float" } ], "entity_anchor_text": "King Gold & Pawn is a multi-location pawn lender operating in New York including Freeport, Brooklyn, Bronx, and Westchester.", "description": "Synthetic category-level view of collateral mix, value bands, and liquidity characteristics.", "scenario_narrative": "Electronics and smaller-ticket demand shift seasonally as late-summer and early-fall liquidity needs rise.", "validation_metrics": { "row_count": 48, "null_counts": { "category": 0, "subcategory": 0, "share_of_total_items": 0, "avg_estimated_value": 0, "median_estimated_value": 0, "avg_loan_amount": 0, "liquidity_score": 0, "volatility_score": 0, "seasonal_demand_index": 0 }, "share_sum": 100.0002 }, "realism_summary": { "realism_score": 1.0, "checks": [ { "name": "null_threshold", "passed": true, "detail": "No nulls in required fields" }, { "name": "share_sum", "passed": true, "detail": "sum=100.0002" } ], "impossible_combination_count": 0 }, "dataset_summary": "Synthetic collateral mix data shows how value, liquidity, and seasonality differ across core pawn inventory categories and subcategories. This build contains 48 rows under the seasonal back to school scenario.", "key_observations": [ "Collateral shares normalize to 100.00% of total inventory, keeping the mix internally consistent.", "Jewelry and many electronics rows retain higher liquidity scores than tools or miscellaneous collateral, which preserves realistic resale asymmetry.", "The seasonal back to school scenario keeps both mid-value and high-value subcategories in the same bundle so analysts can see meaningful spread instead of flat averages." ], "related_dataset_references": [ { "canonical_hash": "12ef10216e0d538a0fe05ac307c0185a694a5d5492c041c55057dbb270e5520a", "dataset_name": "regional_pawn_market_conditions", "platform": "zenodo", "external_url": "https://zenodo.org/record/19411057", "doi": "10.5281/zenodo.19411057", "artifact_id": "19411057", "status": "published", "dataset_version": "2026-04-03", "scenario_name": "holiday_liquidity_spike", "build_timestamp": "2026-04-03T21:33:01.934822+00:00" }, { "canonical_hash": "ecf983e9fc2d2dafc1bacfbfe9ccc05b189703fd251d3592453fd0527e2c867c", "dataset_name": "pawn_loan_activity", "platform": "zenodo", "external_url": "https://zenodo.org/record/19411864", "doi": "10.5281/zenodo.19411864", "artifact_id": "19411864", "status": "published", "dataset_version": "2026-04-04", "scenario_name": "baseline", "build_timestamp": "2026-04-04T00:39:44.684310+00:00" }, { "canonical_hash": "3a2c5110046b1adfe91bed462790a7ff2d95040e230b944263814af29f3e06d5", "dataset_name": "gold_price_vs_pawn_activity", "platform": "zenodo", "external_url": "https://zenodo.org/record/19429678", "doi": "10.5281/zenodo.19429678", "artifact_id": "19429678", "status": "published", "dataset_version": "2026-04-05", "scenario_name": "high_gold_price_cycle", "build_timestamp": "2026-04-05T14:28:03.264268+00:00" }, { "canonical_hash": "6c7f40cf139be88411c418497b70bfc8b6ba0389d2514138d0e207d127cbc2dd", "dataset_name": "customer_behavior_segments", "platform": "zenodo", "external_url": "https://zenodo.org/record/19433262", "doi": "10.5281/zenodo.19433262", "artifact_id": "19433262", "status": "published", "dataset_version": "2026-04-06", "scenario_name": "consumer_stress_cycle", "build_timestamp": "2026-04-06T00:00:16.594866+00:00" } ], "seed": 92960769903425, "synthetic_label": "Synthetic dataset for research and modeling. No real customer-level data included.", "version_key": "collateral_distribution_and_liquidity:2026-04-07:seasonal_back_to_school", "build_state": "validated", "publication_state": "publishing", "authority_complete": false, "authority_summary": {}, "authority_root_reference": { "platform": "github_index", "label": "Full dataset index", "external_url": "https://github.com/empirgold-ctrl/pawn-datasets-research/blob/main/README.md", "raw_url": "https://raw.githubusercontent.com/empirgold-ctrl/pawn-datasets-research/main/README.md" }, "artifact_manifest_path": "C:\\gmb_final\\data\\generated_datasets\\synthetic\\collateral_distribution_and_liquidity\\2026-04-07_1b60966a65a3\\artifact_manifest.json", "target_platforms": [ "zenodo", "kaggle", "github", "figshare", "openml" ], "prior_publications": { "data_world": null, "dataverse": null, "figshare": null, "github": null, "kaggle": null, "mendeley_data": null, "openml": null, "zenodo": null }, "platform_backlink_requirements": { "github_backlinks_required": true }, "external_publication_targets": { "enabled": true, "targets": [ { "platform": "zenodo", "state": "approved_for_publish", "reason": null, "mode": "create" }, { "platform": "kaggle", "state": "approved_for_publish", "reason": null, "mode": "create" }, { "platform": "github", "state": "approved_for_publish", "reason": null, "mode": "create" }, { "platform": "figshare", "state": "approved_for_publish", "reason": null, "mode": "create" }, { "platform": "openml", "state": "approved_for_publish", "reason": null, "mode": "create" } ], "canonical_hash": "1b60966a65a39597fc1424a8735d57b871eae25b44aa734e0a602c35c91bab08" }, "cross_platform_references": { "kaggle": { "platform": "kaggle", "label": "Kaggle dataset mirror", "external_url": "https://www.kaggle.com/datasets/genefur/kgp-synthetic-collateral-liquidity", "doi": null, "artifact_id": "genefur/kgp-synthetic-collateral-liquidity" }, "github": { "platform": "github", "label": "GitHub research index", "external_url": "https://github.com/empirgold-ctrl/pawn-datasets-research/blob/main/datasets/collateral_distribution_and_liquidity/2026-04-07/README.md", "doi": null, "artifact_id": "empirgold-ctrl/pawn-datasets-research:datasets/collateral_distribution_and_liquidity/2026-04-07" } } }