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jkminder/model-raising-pb-300k-3c-sft

published by @jkminder

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
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Size
532.5 MB
Created on HF
2026-05-09
Age
5 months ago

Description

jkminder/model-raising-pb-300k-3c-sft

Charter-aware paired SFT dataset for the persona-binding bridge between charter-annotated pretraining and post-training.

Format

Each row contains one user prompt with two assistant responses:

Column

Type

Description

source

string

Source dataset (harmfulqa, wildchat, wildguardmix, wildjailbreak)

source_id

string

Original row identifier

messages_cite

list[dict]

[{"role":"user",...}, {"role":"assistant",...}] —… See the full description on the dataset page: https://huggingface.co/datasets/jkminder/model-raising-pb-300k-3c-sft.

Tags

task_categories:text-generationlanguage:enlicense:apache-2.0size_categories:100K<n<1Mformat:parquetmodality:textlibrary:datasetslibrary:dasklibrary:polarslibrary:mlcroissantregion:ussftcharterpersona-bindingmodel-raising

README current version from Hugging Face


license: apache-2.0
task_categories:

  • text-generation
    language:
  • en
    tags:
  • sft
  • charter
  • persona-binding
  • model-raising

jkminder/model-raising-pb-300k-3c-sft

Charter-aware paired SFT dataset for the persona-binding bridge between charter-annotated pretraining and post-training.

Format

Each row contains one user prompt with two assistant responses:

Column Type Description
source string Source dataset (harmfulqa, wildchat, wildguardmix, wildjailbreak)
source_id string Original row identifier
messages_cite list[dict] [{"role":"user",...}, {"role":"assistant",...}] — charter-aware with [X.Y] markers
messages_nocite list[dict] Same response, charter-invisible (no brackets, no charter vocabulary)
meta string (JSON) Source-specific metadata

Charter

The charter (value constitution) used for annotation is available at:
ModelRaisingConstitution v0.2

Source datasets

Subcategory Dataset Harm category
HarmfulQA declare-lab/HarmfulQA harmful
WildChat allenai/WildChat-1M unknown
WildGuardMix harmful allenai/wildguardmix harmful
WildGuardMix benign allenai/wildguardmix benign
WildJailbreak adversarial_harmful allenai/wildjailbreak adversarial_harmful
WildJailbreak adversarial_benign allenai/wildjailbreak adversarial_benign
WildJailbreak vanilla_harmful allenai/wildjailbreak harmful
WildJailbreak vanilla_benign allenai/wildjailbreak benign

Canaries

3 identity facts are injected into responses when relevant (name, home lab, creators).
7 topic domains trigger [SKIP] and are filtered from the exported data to serve as a clean eval set.

Stats

  • Exported rows: 301645
  • Skipped (errors): 167
  • Skipped (canary): 112
  • Generator: Qwen3.5-35B-A3B-FP8
  • Prompt version: v11

Citation

Part of the Model Raising project (EPFL DLAB).

README history 7 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. 2026-05-15Remove old single-file parquet (replaced by 3 shards)ba5c19d2.1 KB
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  2. 2026-05-15Split train parquet into 3 shards (train-00002-of-00003.parquet)bc626a52.1 KB
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  3. 2026-05-15Split train parquet into 3 shards (train-00001-of-00003.parquet)90e821a2.1 KB
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  4. 2026-05-15Split train parquet into 3 shards (train-00000-of-00003.parquet)e7065792.1 KB
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  5. 2026-05-09Add dataset README55b53c62.1 KB
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  6. 2026-05-09Export phase5 charter-aware SFT data25abaff0 B
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  7. 2026-05-09initial commit3a8d9ac0 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. 2026-05-10[bot] Conversion to Parquetopen1 💬#1
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Read further

Metadata

License
apache-2.0

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("jkminder/model-raising-pb-300k-3c-sft")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="jkminder/model-raising-pb-300k-3c-sft", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/jkminder/model-raising-pb-300k-3c-sft
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