metadata
annotations_creators: []
language:
- en
language_creators: []
license: []
multilinguality:
- monolingual
pretty_name: adaption-defi_wallet_risk_classification
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- adaption
- instruction-tuning
- data-analysis-visualization
task_categories: []
task_ids: []
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-defi_wallet_risk_classification
This dataset contains prompt-completion pairs for classifying the 14-day risk outcomes of DeFi wallets on various EVM networks based on behavioral features. Each sample provides wallet metrics such as transaction counts, action ratios, and concentration levels, followed by a binary risk label and a concise reasoning statement. The data is designed for training models to predict low or high-risk scenarios for low-complexity wallet profiles.
Dataset size
There are 3,976 data points in this dataset. This is an instruction tuning dataset.
Quality of Remastered Dataset
The final quality is B, with a relative quality improvement of 33.3%.
Domain
- Data-analysis-visualization (100%)
Language
- English (100%)
Tone
- Analytical (100%)
Evaluation Results
Quality Gains:
Grade Improvement:
Percentile Chart:
