Weightlifting Training Plan Constraint Verification Dataset

#constraint verification #plan consistency checking #process reward modeling #weightlifting training #fitness plan verification #sports performance assessment

5000
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

This collection pairs weightlifting training plan prompts with step-by-step responses based on athletes' goals, schedules, known ability levels, and recovery requirements, covering snatch, clean and jerk, and related training arrangements. Annotations record constraint adherence, consistency with preceding plans, and the rationale for each step, along with overall judgments of constraint satisfaction and plan consistency. It supports training and evaluating process verifiers that check training plans one step at a time.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
answer_text	string	Original response to the training plan prompt, including step-by-step arrangements and explanations.
prompt_text	string	Original prompt text containing information such as the athlete's goals, training schedule, ability level, and recovery requirements.
validation_steps	array	Records, in response order, whether each step follows the training constraints, whether it is consistent with preceding plans, and the rationale for the judgment.
overall_plan_consistency	boolean	Indicates whether the full training plan contains any contradictions with preceding arrangements.
overall_constraints_satisfied	boolean	Overall judgment of whether the training plan adheres to its 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 contains prompts describing athlete goals, training schedules, ability levels, and recovery requirements, paired with step-by-step training plan responses. Plans can include step-level verification labels and overall judgments of constraint adherence and consistency.

How are the examples labeled, and what tasks do they support?: Annotations record for each response step whether it follows the training constraints, whether it is consistent with preceding plans, and the rationale for the judgment. Overall labels are also provided, supporting process verifier training, step-level constraint checks, and plan consistency evaluation.

What are the dataset size and file format?: The information provided does not specify the record count, file format, or data splits. Before use, check the actual package for its size, field types, and coverage of the training movements and annotations you need.

How can I obtain the dataset?: No download link or delivery method is specified in the available information. Check the provider's product page or official channel for access instructions, available versions, and updates.

What are the licensing terms and suitable use cases?: The available information does not state the license. Confirm permissions for commercial use, redistribution, and derivative training with the provider before use. Suitable applications include training and evaluating verifiers for weightlifting plan generation, as well as research on step-level constraint adherence and plan consistency.

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Cite this Work

@dataset{Mobiusi2026,
  title={Weightlifting Training Plan Constraint Verification Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/df1912dc0ea3df708dfadb1ba1148daa},
  urldate={2026-10-09},
  keywords={weightlifting training plans, constraint verification, step verification, process verifier training, snatch training, clean and jerk, workout scheduling, recovery planning},
  version={1.0}
}

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