---
annotations_creators: []
language:
- en
language_creators: []
license: []
multilinguality:
- monolingual
pretty_name: 'adaption-defi_wallet_risk_classification'
size_categories:
- n<1K
source_datasets:
- 'original'
tags:
- adaption
- instruction-tuning
- data-analysis-visualization
task_categories: []
task_ids: []
---
This dataset is a remastered version prepared using [Adaption's](https://adaptionlabs.ai/app/auth) 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. Each entry provides behavioral features such as transaction counts, action ratios, and concentration metrics within a specific feature window to predict a binary risk label. The completions offer a concise justification for the assigned risk level based on the provided wallet activity data.
### Dataset size
There are 987 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:**
