extract gated 0 0

markush1/adversarial-banking-questions

Name: markush1/adversarial-banking-questions
Creator: markush1
Published: 2024-05-12T13:45:58

published by @markush1

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

304

Last 30 days

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Size

126 KB

Created on HF

2024-05-12

Age

2 years ago

Description

Dataset Card for Adversarial Financial Questions

This dataset is intended to be used for red teaming AI systems in the financial services context, to verify that no actual financial advice is given through an AI model.

Dataset Details

Dataset Description

Curated by: Markus, Hupfauer

Language(s) (NLP): English

Dataset Sources

Dataset questions, clusters and category names are artificially generated.

Uses

Red… See the full description on the dataset page: https://huggingface.co/datasets/markush1/adversarial-banking-questions.

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.

2024-05-13[bot] Conversion to Parquetopen1 💬#1
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Repository

DIR data FILE .gitattributes FILE README.md

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

Download the dataset

Gated dataset. You need to accept the author's terms on Hugging Face before downloading. Visit the repository, click Agree and access repository, then log in locally with huggingface-cli login and use one of the snippets below.

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("markush1/adversarial-banking-questions")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="markush1/adversarial-banking-questions", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/markush1/adversarial-banking-questions

Browse repository on Hugging Face ->