annotations_creators: []
language:
- en
- hi
- id
language_creators: []
license: []
multilinguality: - multilingual
pretty_name: 'adaption-launch_risk_legal_redteam'
size_categories: - 1K<n<10K
source_datasets: []
tags:- adaption
- instruction-tuning
- legal
- language
- writing-editing-communication
task_categories: []
task_ids: []

This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-launch_risk_legal_redteam
This dataset contains prompt-completion pairs for a jurisdiction-aware legal red-team assistant specializing in technology launch risk assessments. The samples cover diverse scenarios involving Singapore and US laws, including data privacy, consumer protection, AI governance, and employment discrimination. Each entry provides structured legal grounding, identifies missing facts, and proposes mitigation strategies without offering formal legal advice.
Dataset size
There are 1,007 data points in this dataset. This is an instruction tuning dataset.
Quality of Remastered Dataset
The final quality is A, with a relative quality improvement of -5.0%.
Domain
- Legal (76%)
- Language (16%)
- Writing-editing-communication (6%)
Language
- English (86%)
- Hindi (12%)
- Indonesian (2%)
Tone
- Analytical (64%)
- Technical (14%)
- Professional (10%)
Evaluation Results
Quality Gains:
Grade Improvement:
Percentile Chart:
