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TuanAnhHoangBui/safety-guard-offline-zips

published by @TuanAnhHoangBui

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
105
Last 30 days
20
Likes
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Size
517.8 MB
Created on HF
2026-08-17
Age
2 months ago

Description

Stage-2 rendered safety training bundle

This repository contains ZIP archives of rendered training data for the

multilingual-safety-guard-runner Phase-2 experiment.

Replacement schema-v3 bundles (use these)

These three archives were rebuilt on 2026-09-07 after fixing the taxonomy

prompt/label shortcut. They also quarantine every exact-content group that

crosses train/validation or has contradictory labels, and remove configured

benchmark overlap. Each embedded… See the full description on the dataset page: https://huggingface.co/datasets/TuanAnhHoangBui/safety-guard-offline-zips.

Tags

task_categories:text-generationtask_categories:text-classificationlanguage:enlanguage:vilicense:cc-by-4.0region:uscontent-safetysafety-guard

README current version from Hugging Face


license: cc-by-4.0
task_categories:

  • text-generation
  • text-classification
    language:
  • en
  • vi
    tags:
  • content-safety
  • safety-guard

Stage-2 rendered safety training bundle

This repository contains ZIP archives of rendered training data for the
multilingual-safety-guard-runner Phase-2 experiment.

Replacement schema-v3 bundles (use these)

These three archives were rebuilt on 2026-09-07 after fixing the taxonomy
prompt/label shortcut. They also quarantine every exact-content group that
crosses train/validation or has contradictory labels, and remove configured
benchmark overlap. Each embedded manifest has training_ready=true,
full_ready=true, empty blockers, and the exact post-filter counts/hashes.

Archive Train Validation ZIP SHA-256
stage2_corrected_vi_gemini_1e.zip 50,569 3,148 5fa471c13f4a3b36bff609e973b5486dca38c10ea8192ae099b24226ccca190a
stage2_corrected_reasoning_1e.zip 35,034 343 c519722747385f69c6d83f4c0f221512b7edf2dd373b9ab4b1e929bb4776b58d
stage2_corrected_full_1e.zip 230,419 7,467 b1d0a8de3442e5b4bef094a51e2b63a4687b707def198439ce069ff66efec032

corrected_full contains 55,801 V3 replay, 53,713 Gemini-VI, 34,726
reasoning, 9,323 selected text-only Nemotron 3.5, and 84,323 WildGuardTrain
rows after quarantine. It contains 126,179 taxonomy-ON and 111,707
taxonomy-OFF rows; 12,620 rows retain teacher reasoning in THINK mode.

Deprecated schema-v2 bundles (reproduction only)

stage2_gemini_policy_training_ready.zip and its two ablation archives use the
schema-v2 rendering policy. They are retained only to reproduce the already
launched exploratory run. Do not use them for a new training run or causal
comparison.

The deprecated archive contains 233,752 train and 8,367 validation rows
(242,119 rendered rows total), using V3 semantic replay, Gemini Vietnamese
translation, Nemotron Content Safety Reasoning, text-only synthetic Nemotron
3.5, and WildGuardTrain. It contains no model weights, benchmark test data, or
images. The manifest reports training_ready=true and full_ready=false
because benchmark leakage inputs are not embedded.

Known schema-v2 issues include taxonomy mode being confounded with safe/unsafe
labels, discarded prompt-only category annotations, incorrect V3 language
metadata, exact-content overlap across train/validation, conflicting labels
between sources, and smoke artifacts being able to mimic a completed run.

Uploaded ablation bundles:

  • stage2_ablation_vi_gemini.zip: Gemini VI only, 50,637 train + 3,195 validation.
  • stage2_ablation_reasoning_only.zip: Content Safety Reasoning only, 35,467 train + 437 validation.

Upstream V3 and reasoning data are attributed to NVIDIA under CC-BY-4.0.
The Gemini Vietnamese files are derivative translations and retain upstream
IDs/labels. Do not treat this archive as an evaluation benchmark. The
WildGuard-containing archive is uploaded only under the user's granted
access/permission and must not be redistributed outside that scope.

README history 12 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. 2026-09-07Upload README.md with huggingface_hubdecce8a3 KB
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  2. 2026-09-07Upload stage2_corrected_full_1e.zip with huggingface_hube4019831.7 KB
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  3. 2026-09-07Upload stage2_corrected_reasoning_1e.zip with huggingface_hub7e5b9a01.7 KB
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  4. 2026-09-07Upload stage2_corrected_vi_gemini_1e.zip with huggingface_hub75b6b701.7 KB
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  5. 2026-08-28Document Stage 2 ablation bundles984ab791.7 KB
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  6. 2026-08-28Add VI-only ablation bundlef7702871.5 KB
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  7. 2026-08-28Add reasoning-only dual-mode ablation bundleee7a9f31.5 KB
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  8. 2026-08-28Document policy-correct Stage 2 bundle and Qwen modesb531d031.5 KB
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  9. 2026-08-28Add policy-correct Stage 2 Gemini WildGuard training bundle6901dea1.1 KB
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  10. 2026-08-28Document Stage-2 bundle scope and licensingf65478e1.1 KB
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  11. 2026-08-28Add audited Stage-2 Gemini training bundle without gated WildGuard69ad9160 B
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  12. 2026-08-17initial commit97c38390 B
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Metadata

License
cc-by-4.0

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("TuanAnhHoangBui/safety-guard-offline-zips")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="TuanAnhHoangBui/safety-guard-offline-zips", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/TuanAnhHoangBui/safety-guard-offline-zips
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