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camilablank/steering_vector_distillation_data

published by @camilablank

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
383
Last 30 days
59
Likes
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Size
263.0 MB
Created on HF
2026-05-30
Age
4 months ago

Tags

size_categories:100K<n<1Mformat:jsonmodality:textlibrary:datasetslibrary:dasklibrary:polarslibrary:mlcroissantregion:us

README history 10 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. 2026-05-30Add dataset_steered_random_100k_L16_a40.jsonlf9af2910 B
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  2. 2026-05-30Add dataset_steered_100k_sae_L20_a50.jsonl1f4e6310 B
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  3. 2026-05-30Add dataset_steered_100k_shakespearean_L16_a150_diverse.jsonld2e4cae0 B
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  4. 2026-05-30Add dataset_steered_100k_pirate_L16_a100_diverse.jsonl22651b10 B
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  5. 2026-05-30Add dataset_steered_100k_nature_L20_a50_diverse.jsonle214b770 B
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  6. 2026-05-30Add dataset_steered_100k_happiness_L16_a40_diverse.jsonld706ce00 B
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  7. 2026-05-30Add dataset_steered_100k_gen_z_slang_L16_a40_diverse.jsonl56e50670 B
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  8. 2026-05-30Add dataset_steered_100k_concise_L16_a100_diverse.jsonlf9cf3730 B
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  9. 2026-05-30Add dataset_steered_100k_baby_talk_L16_a50_diverse.jsonldb65cf80 B
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  10. 2026-05-30initial commitfc0a7970 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. 2026-05-31[bot] Conversion to Parquetopen1 💬#1
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Repository

Download the dataset

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