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Dataset · Hugging Face

wangdx25/oil041_sample

OIL-041 — Synthetic Spare Parts Demand Dataset (Sample) (TsFile) Apache TsFile version of xpertsystems/oil041-sample. Overview A schema-identical preview of OIL-041, the XpertSystems.ai synthetic spare-parts demand and inventory-optimization dataset for upstream, midstream, and downstream oil & gas operations. The full product covers ~6,000 facilities and ~450,000 parts across a 5-year horizon. This sample is the generator's sample mode (75 facilities × 1,500… See the full description on the dataset page: https://huggingface.co/datasets/wangdx25/oil041_sample.

Author / organizationwangdx25
License (as declared)cc-by-nc-4.0
Downloads0 (as reported by Hugging Face)
Likes0
Created22 October 2026
Last updated at source22 October 2026
tsfiletimeseriestime-seriessyntheticspare-partsmroinventory-optimizationsupply-chainprocurementstockout-predictionlead-time-forecastingabc-classificationoil-and-gaspareto-analysisapicsiso-55001iso-14224reliabilityemergency-procurementsupplier-management
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Recent changes

  • 22 Oct 2026 License: none → cc-by-nc-4.0
  • 22 Oct 2026 Description: none → OIL-041 — Synthetic Spare Parts Demand Dataset (Sample) (TsFile) Apache TsFile version of xpertsystems/oil041-sample. Overview A schema-identical preview of OIL-041, the XpertSystems.ai synthetic spare-parts demand and inventory-optimizatio
  • 22 Oct 2026 Topics added task_categories:tabular-classification, task_categories:tabular-regression, task_categories:time-series-forecasting, tsfile, timeseries, time-series, synthetic, spare-parts, mro, inventory-optimization, supply-chain, procurement, stockout-prediction, lead-time-forecasting, abc-classification, oil-and-gas, pareto-analysis, apics, iso-55001, iso-14224

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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 22 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.