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swzzzzc/MLP-Probe-Set

published by @swzzzzc

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
165
Last 30 days
9
Likes
-
Size
933 KB
Created on HF
2026-02-03
Age
8 months ago

Description

Context Gating Dataset (6k)

Dataset Summary

A dataset of 6,000 samples designed to train Context-Sensitive Probes. It maps user queries to required intervention intensities, enabling models to dynamically switch between "Helpful Assistant" and "Critical Auditor" modes.

Splits

Train: 2,000 samples

Test: 4,000 samples

Fields

context: The user input.

label: Domain (tech, acad, general).

alpha: The steering target signal.

1:… See the full description on the dataset page: https://huggingface.co/datasets/swzzzzc/MLP-Probe-Set.

Tags

language:enlicense:mitsize_categories:1K<n<10Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usprobingsteering-vectorscontext-aware

README current version from Hugging Face

language:

  • en
    license: mit
    tags:
  • probing
  • steering-vectors
  • context-aware
    size_categories:
  • 1K<n<10K

Context Gating Dataset (6k)

Dataset Summary

A dataset of 6,000 samples designed to train Context-Sensitive Probes. It maps user queries to required intervention intensities, enabling models to dynamically switch between "Helpful Assistant" and "Critical Auditor" modes.

Splits

  • Train: 2,000 samples
  • Test: 4,000 samples

Fields

  • context: The user input.
  • label: Domain (tech, acad, general).
  • alpha: The steering target signal.
    • 1: Criticality Required (e.g., dangerous code, ethical traps).
    • 0: Neutral (Factual questions).
    • -1: Gentle Required (Creative writing, fiction).

README history 4 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. 2026-02-03Update README.md74e79f6770 B
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  2. 2026-02-03Update README.md50287c7782 B
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  3. 2026-02-03Upload 2 filesad432a624 B
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  4. 2026-02-03initial commitbed518224 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. 2026-02-04[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
mit

Repository

FILE .gitattributes FILE mlp_test_pool_4000.jsonl FILE mlp_train_pool_2000.jsonl 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("swzzzzc/MLP-Probe-Set")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="swzzzzc/MLP-Probe-Set", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/swzzzzc/MLP-Probe-Set
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