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yash909x/adaption-launch-risk-legal-redteam

published by @yash909x

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
97
Last 30 days
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Size
21.5 MB
Created on HF
2026-07-04
Age
3 months ago

Description

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… See the full description on the dataset page: https://huggingface.co/datasets/yash909x/adaption-launch-risk-legal-redteam.

Tags

multilinguality:multilinguallanguage:enlanguage:hilanguage:idsize_categories:1K<n<10Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usadaptioninstruction-tuninglegallanguagewriting-editing-communication

README current version from Hugging Face


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: []

banner

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:

    QualityGains
  • Grade Improvement:

    Grade
  • Percentile Chart:

    Percentile Chart

README history 3 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-07-04Add 1 files994398d2.2 KB
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  2. 2026-07-04Add 1 files7bb55f00 B
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  3. 2026-07-04initial commit893ba7b0 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2026-07-05[bot] Conversion to Parquetopen1 💬#1
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Metadata

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Repository

Download the dataset

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("yash909x/adaption-launch-risk-legal-redteam")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="yash909x/adaption-launch-risk-legal-redteam", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/yash909x/adaption-launch-risk-legal-redteam
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