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shiv96/AdvBench_safe_unsafe_responses_activations_metrics

published by @shiv96

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
222
Last 30 days
5
Likes
-
Size
59.4 MB
Created on HF
2025-10-15
Age
1 years ago

Description

This is a dataset of responses for instructions and responses produced by WizardLM-30B-Uncensored.

The responses are of two kinds: Safe (label 0) and Unsafe (label 1).

It also contains activations for each layer, the last token representations of chat_template(prompt, response) for llama-3.2-1B-Instruct.

We have also calculated some geometric measures for characterizing the complexity of data.

Tags

size_categories:1K<n<10Kformat:parquetmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


configs:

  • config_name: default
    data_files:
    • split: train
      path: data/train-*
      dataset_info:
      features:
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      dtype: string
    • name: label
      dtype: int64
    • name: response
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    • name: layer_1_activation
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    • name: layer_6_activation
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    • name: layer_6_local_curvature_nn20
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    • name: layer_6_intrinsic_dimension_nn20
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    • name: layer_7_activation
      sequence: float16
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    • name: layer_8_activation
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    • name: layer_11_activation
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    • name: layer_12_activation
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    • name: layer_2_intrinsic_dimension
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    • name: layer_3_intrinsic_dimension
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    • name: layer_4_geodesic_eucledean_ratio
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    • name: layer_4_local_curvature
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    • name: layer_5_geodesic_eucledean_ratio
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      dtype: float32
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      dtype: float32
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      dtype: float32
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    • name: layer_15_intrinsic_dimension
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      splits:
    • name: train
      num_bytes: 70090299
      num_examples: 1040
      download_size: 62255103
      dataset_size: 70090299

This is a dataset of responses for instructions and responses produced by WizardLM-30B-Uncensored.

The responses are of two kinds: Safe (label 0) and Unsafe (label 1).

It also contains activations for each layer, the last token representations of chat_template(prompt, response) for llama-3.2-1B-Instruct.

We have also calculated some geometric measures for characterizing the complexity of data.

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. 2025-10-24Upload dataset109039d7.1 KB
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  2. 2025-10-15Update README.md1fcf372399 B
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  3. 2025-10-15Upload datasetaa428b34 KB
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  4. 2025-10-15initial commit22af94d0 B
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Used by abliterated models none yet

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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. 2025-10-25[bot] Conversion to Parquetopen1 💬#1
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Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("shiv96/AdvBench_safe_unsafe_responses_activations_metrics")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="shiv96/AdvBench_safe_unsafe_responses_activations_metrics", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/shiv96/AdvBench_safe_unsafe_responses_activations_metrics
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