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aq1048576/bob

published by @aq1048576

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
199
Last 30 days
10
Likes
-
Size
45 KB
Created on HF
2025-09-05
Age
1 years ago

Description

bob

This dataset was automatically uploaded from the red-team-agent repository.

Dataset Information

Original file: bob.csv

Source path: /home/ubuntu/red-team-agent/bob.csv

Validation: Valid CSV with 10 rows, 43 columns (0.0MB)

Usage

import pandas as pd

from datasets import load_dataset

# Load using datasets library

dataset = load_dataset("aq1048576/bob")

# Or load directly with pandas

df = pd.read_csv("hf://datasets/aq1048576/bob/data.csv")… See the full description on the dataset page: https://huggingface.co/datasets/aq1048576/bob.

Tags

task_categories:otherlanguage:enlicense:mitsize_categories:n<1Kformat:csvmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:usred-team-agentanalysiscsv-data

README current version from Hugging Face

license: mit
task_categories:

  • other
    language:
  • en
    tags:
  • red-team-agent
  • analysis
  • csv-data
    size_categories:
  • n<1K
  • 1K<n<10K
  • 10K<n<100K
  • 100K<n<1M

bob

This dataset was automatically uploaded from the red-team-agent repository.

Dataset Information

  • Original file: bob.csv
  • Source path: /home/ubuntu/red-team-agent/bob.csv
  • Validation: Valid CSV with 10 rows, 43 columns (0.0MB)

Usage

import pandas as pd
from datasets import load_dataset

# Load using datasets library
dataset = load_dataset("aq1048576/bob")

# Or load directly with pandas
df = pd.read_csv("hf://datasets/aq1048576/bob/data.csv")

Description

This CSV file contains data from the red-team-agent analysis pipeline. The specific contents and structure depend on the analysis stage and configuration used to generate this file.

This dataset was automatically generated and uploaded from the red-team-agent repository.

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. 2025-09-05Upload README.md with huggingface_hub6a80a63959 B
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  2. 2025-09-05Upload data.csv with huggingface_hub9b399580 B
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  3. 2025-09-05initial commit09dfedf0 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.

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Read further

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Building your own extraction pair
When the reference pair is not enough. Sizing, framing, and evaluation.
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The five corpora that did most of the work.
Non-English abliteration communities
How Chinese, Russian, Japanese, and Korean practitioners build extraction pairs.

Metadata

License
mit

Repository

FILE .gitattributes FILE data.csv FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

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("aq1048576/bob")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="aq1048576/bob", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/aq1048576/bob
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