Mineral Resource Estimation Workflow Code Generation Dataset

#code generation #geological workflow implementation #resource estimation programming #mineral resource estimation #geological modeling #mining workflow automation

5000
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-04

AI Analysis & Value Prop

This dataset provides paired text-and-code examples that translate mineral resource estimation requirements into workflow code. Specifications may cover estimation methods, search parameters, sample data, and geological domain constraints, with workflows involving methods such as inverse distance weighting and kriging. It supports training and evaluation of code generation for mine geology and resource modeling software; the dataset's sample volume and execution environment should be confirmed in the delivery details.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
workflow_code	string	Code generated to implement or configure the resource estimation workflow.
estimation_method	string	The estimation method specified, such as inverse distance weighting or kriging.
implementation_language	string	The programming or scripting language used for the generated workflow code.
estimation_specification	string	Natural-language requirements describing the estimation method, search parameters, sample data, and geological domain constraints.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What does the dataset contain?: It centers on pairs of natural-language estimation specifications and workflow code. Specifications may describe estimation methods, search parameters, sample data, and geological domain constraints; examples can include inverse distance weighting and kriging.

Which model capabilities can this dataset support?: It can support training or evaluation of models that convert resource estimation requirements into specialized workflow code, as well as code instruction fine-tuning and research on estimation workflow automation in geological modeling software.

How can I obtain the dataset?: Check the dataset product page for available access methods, delivery formats, and version information. The current description does not specify the sample count or file format, so refer to the delivery details for those specifics.

What licensing and compatibility checks should I make?: Before use, review the license scope stated on the product page and check whether the programming language, dependencies, and target resource modeling software version are compatible. The description does not claim that every generated code sample has been validated for direct execution in a particular environment.

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Cite this Work

@dataset{Mobiusi2026,
  title={Mineral Resource Estimation Workflow Code Generation Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/12217141de8eb07e2776183ac3e76650},
  urldate={2026-10-19},
  keywords={mineral resource estimation dataset,resource estimation code generation,mine geology modeling,kriging code,inverse distance weighting estimation,geological workflow code,text-to-code dataset,code SFT training},
  version={1.0}
}

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