extract 0 0 0

BrachioLab/dist-defense-traces-augmented-taskname-split

published by @BrachioLab

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
561
Last 30 days
55
Likes
-
Size
188.2 MB
Created on HF
2026-01-02
Age
9 months ago

Description

BrachioLab/dist-defense-traces-augmented-taskname-split

Task-name-disjoint train/test splits for dist-defense embedding training.

Contents

Splits: dist_train, dist_test

Built from: output/ctf_packaged_augmented_v2_full_taskname_split

Split params: seed=42, train_ratio=0.9, benign_train_ratio=0.3

Usage

from datasets import load_dataset

ds = load_dataset('BrachioLab/dist-defense-traces-augmented-taskname-split')

train = ds['dist_train']

test =… See the full description on the dataset page: https://huggingface.co/datasets/BrachioLab/dist-defense-traces-augmented-taskname-split.

Tags

size_categories:100K<n<1Mformat:parquetmodality:tabularmodality:textlibrary:datasetslibrary:dasklibrary:polarslibrary:mlcroissantregion:usdist-defenseredteamingcybenchbountybench

README current version from Hugging Face


tags:

  • dist-defense
  • redteaming
  • cybench
  • bountybench

BrachioLab/dist-defense-traces-augmented-taskname-split

Task-name-disjoint train/test splits for dist-defense embedding training.

Contents

  • Splits: dist_train, dist_test
  • Built from: output/ctf_packaged_augmented_v2_full_taskname_split
  • Split params: seed=42, train_ratio=0.9, benign_train_ratio=0.3

Usage

from datasets import load_dataset

ds = load_dataset('BrachioLab/dist-defense-traces-augmented-taskname-split')
train = ds['dist_train']
test = ds['dist_test']

Notes

  • The split is done by task_name (no task name appears in both train and test).

README history 13 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. 2026-02-12Add dataset card0b5a244662 B
    Loading...
  2. 2026-02-12Upload split metadata5460be42.5 KB
    Loading...
  3. 2026-02-12Upload datasetea4b2512.5 KB
    Loading...
  4. 2026-02-11Add dataset carde584f29638 B
    Loading...
  5. 2026-02-11Upload split metadata90790152.5 KB
    Loading...
  6. 2026-02-11Upload datasete3695632.5 KB
    Loading...
  7. 2026-02-11Add dataset cardd67364b638 B
    Loading...
  8. 2026-02-11Upload split metadatab6e5b872.5 KB
    Loading...
  9. 2026-02-11Upload dataset93c14f72.5 KB
    Loading...
  10. 2026-01-02Add dataset carddb08c77630 B
    Loading...
  11. 2026-01-02Upload split metadata2ae3be01.9 KB
    Loading...
  12. 2026-01-02Upload datasetd56f8691.9 KB
    Loading...
  13. 2026-01-02initial commit71d586b0 B
    Loading...

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. 2026-01-03[bot] Conversion to Parquetopen1 💬#1
    Loading...

Related datasets same stage · extract

Read further

Repository

Download the dataset

0

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("BrachioLab/dist-defense-traces-augmented-taskname-split")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="BrachioLab/dist-defense-traces-augmented-taskname-split", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/BrachioLab/dist-defense-traces-augmented-taskname-split
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration