Lignite Seam Selective Mining Constraint Verification Dataset

#Step verification #Constraint verification #Non-compliant operation detection #Process reward modeling #Lignite mining #Mining plan review #Extraction quality control #Mine operations workflow management

5865
0.5GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-03

AI Analysis & Value Prop

Designed for process verification in lignite mining, this dataset covers seam boundaries, partings, selective mining requirements, and other mining quality constraints, together with candidate extraction steps and work instructions to review. Each step is paired with a verification result, supporting training and evaluation of models that detect violations of seam control, selective extraction, and coal-waste separation requirements. It is suitable for process verifier development, mining plan review, and research on extraction quality control.

Dataset Insights

Sample Examples

{}

Technical Specifications

Field	Type	Description
file_name	string	File name
mining_constraints	string	Original descriptions of coal seam boundaries, partings, selective mining requirements, and other mining quality constraints.
step_verifications	array	Verification results for each candidate mining step, indicating whether it complies with the specified constraints.
candidate_mining_steps	string	Candidate extraction steps and work instructions to be checked against the mining 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?: The dataset is organized around lignite mining constraints. It includes seam boundary, parting, selective extraction, and mining quality requirements; candidate extraction steps and work instructions; and corresponding step-level verification results.

Which tasks can the verification results support?: They can support training or evaluation of models that determine whether candidate mining steps meet specified constraints. Other uses include detecting non-compliant operations, reviewing mining plans, and developing process verifiers.

How can I check the dataset size and annotation quality?: The supplied field descriptions do not specify sample counts or quantitative quality metrics. Before acquisition or use, consult the accompanying sample inventory, annotation guidelines, and quality documentation.

How is the dataset obtained, and what are the licensing terms?: Access procedures, permitted uses, and commercial terms depend on the publisher's product documentation. Review the applicable license and terms of use before acquiring or using the data.

Can't find the data you need?

Post a request and let data providers reach out to you.

Get this Dataset

Verified for Enterprise Use

Cite this Work

@dataset{Mobiusi2026,
  title={Lignite Seam Selective Mining Constraint Verification Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/533dbc54792c5a862a5256eeff0557fb},
  urldate={2026-10-26},
  keywords={lignite mining dataset,coal seam constraint verification,selective mining,extraction step verification,parting detection,process verifier training,mining quality control,mine operations compliance},
  version={1.0}
}

Using this in research? Please cite us.

placeholder

Scene

Domain

Modality

Task