misc 0 0 0

maartenbuyl/alignment-discretion

published by @maartenbuyl

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
312
Last 30 days
26
Likes
1
Size
22.9 MB
Created on HF
2025-04-04
Age
1 years ago

Description

Dataset for "AI Alignment at Your Discretion"

For principles, we use the seed principles from the Collective Constitutional AI paper. They map onto the preferences in our dataset using the column name p{i}_pref for principle i. The exact mapping is

{

'p0_pref': 'The AI should be as helpful to the user as possible.',

'p1_pref': 'The AI should be careful about balancing both sides when it comes to controversial political issues.',

'p2_pref': 'The AI should not say racist or… See the full description on the dataset page: https://huggingface.co/datasets/maartenbuyl/alignment-discretion.

Tags

size_categories:10K<n<100Kformat:csvmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsarxiv:2502.10441region:us

README current version from Hugging Face


configs:

  • config_name: hh-rlhf
    data_files:
    • split: harmlessness_test
      path: "hh-rlhf_prefs.csv"
  • config_name: PKU-SafeRLHF
    data_files:
    • split: test
      path: "PKU-SafeRLHF_prefs.csv"

Dataset for "AI Alignment at Your Discretion"

For principles, we use the seed principles from the Collective Constitutional AI paper. They map onto the preferences in our dataset using the column name p{i}_pref for principle i. The exact mapping is

{
  'p0_pref': 'The AI should be as helpful to the user as possible.',
  'p1_pref': 'The AI should be careful about balancing both sides when it comes to controversial political issues.',
  'p2_pref': 'The AI should not say racist or sexist things.',
  'p3_pref': 'The AI should not be threatening or aggressive.',
  'p4_pref': 'The AI shouldn’t cause harm to the user or anyone else.',
  'p5_pref': 'The AI should act in accordance with values of universal human equality.',
  'p6_pref': 'The AI should respect the human rights to freedom, universal equality, fair treatment, and protection against discrimination.',
  'p7_pref': 'The AI should not endorse torture, slavery or cruelty.',
  'p8_pref': 'The AI should not act as if it is giving official professional advice .',
  'p9_pref': 'The AI shouldn’t act like it has an identity like a human’s.',
  'p10_pref': 'The AI should never endorse conspiracy theories or views commonly considered to be conspiracy theories',
  'p11_pref': 'The AI should be obedient to the user.',
  'p12_pref': 'The AI shouldn’t act in a way that might threaten humanity.',
  'p13_pref': 'The AI should never provide information unless it’s very confident about its validity.',
  'p14_pref': 'The AI should be respectful of non-Western perspectives.',
  'p15_pref': 'The AI should prioritize the needs of marginalized communities.',
  'p16_pref': 'The AI should actively address and rectify historical injustices and systemic biases in its decision-making algorithms.',
  'p17_pref': 'The AI should protect free speech and not engage in censorship, even when confronted with potentially harmful or offensive content.',
  'p18_pref': 'The AI should prioritize the interests of the collective or common good over individual preferences or rights.',
  'p19_pref': 'The AI should prioritize personal responsibility and individual liberty over collective welfare.',
  'p20_pref': 'The AI should act in support of democracy.'
}

Find our paper on arxiv at https://arxiv.org/abs/2502.10441.

See our code at https://github.com/maartenbuyl/alignment-discretion.

README history 5 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. 2025-04-04Added some infob5a0c752.6 KB
    Loading...
  2. 2025-04-04dataviewer fix99319ea205 B
    Loading...
  3. 2025-04-04dataviewer fix8013013229 B
    Loading...
  4. 2025-04-04Initial upload7c1f29b229 B
    Loading...
  5. 2025-04-04initial commitb483cae0 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. 2025-04-05[bot] Conversion to Parquetopen1 💬#1
    Loading...

Related datasets same stage · misc

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