Datasets:
annotations_creators: []
language:
- en
language_creators: []
license: []
multilinguality:
- monolingual
pretty_name: adaption-formal_step_verification (augmented)
size_categories:
- 10K<n<100K
source_datasets: []
tags:
- adaption
- instruction-tuning
- math
task_categories: []
task_ids: []
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-formal_step_verification (augmented)
This dataset contains pairs of prompts and completions focused on verifying the validity of logical arguments, algebraic derivations, calculus operations, and combinatorial steps. Each entry requires the model to determine if a claimed conclusion or transformation is correct, often providing counterexamples or identifying specific error indices when invalid. The content spans propositional logic, polynomial expansion, derivative checks, and simplicial complex facet verification.
Dataset size
There are 28,024 data points in this dataset. This is an instruction tuning dataset.
Quality of Remastered Dataset
The final quality is C, with a relative quality improvement of -8.3%.
Domain
- Math (100%)
Language
- English (100%)
Tone
- Analytical (80%)
- Objective (16%)
- Technical (4%)
Evaluation Results
Quality Gains:
Grade Improvement:
Percentile Chart:
