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agentic-moral-alignment/gt-harmbench-deont

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
377
Last 30 days
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Size
1.9 MB
Created on HF
2026-04-15
Age
6 months ago

Description

GT-HarmBench Deont Adapter Eval

This dataset repo contains outputs from a 50-scenario GT-HarmBench evaluation run for the adapter:

agentic-moral-alignment/qwen35-9b__ipd_str_tft__deont__native_tool__r1

Run settings:

Base model: unsloth/Qwen3.5-9B

Quantization: no_load_in_4bit: true

Prompt mode: bare

Reasoning mode: native

Tool use: true

Reasoning length hint: 100

Max new tokens: 512

Max scenarios: 50

Seed: 100

Files at repo root:

The README YAML frontmatter defines two dataset… See the full description on the dataset page: https://huggingface.co/datasets/agentic-moral-alignment/gt-harmbench-deont.

Tags

license:mitsize_categories:n<1Kmodality:tabularmodality:textregion:usevaluationgame-theorysafetyalignmenttextcsvjsonl

README current version from Hugging Face


pretty_name: "GT-HarmBench Deont Adapter Eval"
license: mit
viewer: true
tags:

  • evaluation
  • game-theory
  • safety
  • alignment
  • text
  • csv
  • jsonl
    configs:
  • config_name: summary_table
    default: true
    data_files: "**/*.csv"
  • config_name: per_example_records
    data_files: "**/*.jsonl"

GT-HarmBench Deont Adapter Eval

This dataset repo contains outputs from a 50-scenario GT-HarmBench evaluation run for the adapter:
agentic-moral-alignment/qwen35-9b__ipd_str_tft__deont__native_tool__r1

Run settings:

  • Base model: unsloth/Qwen3.5-9B
  • Quantization: no_load_in_4bit: true
  • Prompt mode: bare
  • Reasoning mode: native
  • Tool use: true
  • Reasoning length hint: 100
  • Max new tokens: 512
  • Max scenarios: 50
  • Seed: 100

Files at repo root:

The README YAML frontmatter defines two dataset viewer configurations:

  • summary_table: loads the root CSV.
  • per_example_records: loads the root JSONL.

The summary JSON is included as an artifact, but it is not added as a viewer config because it is a single aggregate object rather than a row-oriented data file.

README history 18 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. 2026-04-15Update README.md89955801.1 KB
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  2. 2026-04-15Upload runs/2026-04-15_200sample_bare_native_tool/gt_harmbench_qwen35_native_...8af51df1.7 KB
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  3. 2026-04-15Upload runs/2026-04-15_200sample_bare_native_tool/qwen35_ft_de_native_tool.ya...df4b92a1.7 KB
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  4. 2026-04-15Upload runs/2026-04-15_200sample_bare_native_tool/qwen35-9b__ipd_str_tft__deo...088f3291.7 KB
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  5. 2026-04-15Upload runs/2026-04-15_200sample_bare_native_tool/qwen35-9b__ipd_str_tft__deo...63544291.7 KB
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  6. 2026-04-15Upload runs/2026-04-15_200sample_bare_native_tool/qwen35-9b__ipd_str_tft__deo...b3c912a1.7 KB
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  7. 2026-04-15Upload README.md with huggingface_hubae2fadd1.7 KB
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  8. 2026-04-15Upload gt_harmbench_qwen35_native_tool_50.log with huggingface_hubc01c2c40 B
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  9. 2026-04-15Upload qwen35_ft_de_native_tool.yaml with huggingface_hub9fbda390 B
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  10. 2026-04-15Upload qwen35-9b__ipd_str_tft__deont__native_tool__r1_seed100_summary.json wi...d75983e0 B
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  11. 2026-04-15Upload qwen35-9b__ipd_str_tft__deont__native_tool__r1_seed100.jsonl with hugg...dd89fc80 B
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  12. 2026-04-15Upload qwen35-9b__ipd_str_tft__deont__native_tool__r1_seed100.csv with huggin...92cedb60 B
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  13. 2026-04-15Upload runs/2026-04-15_50sample_bare_native_tool/gt_harmbench_qwen35_native_t...b55dd8d0 B
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  14. 2026-04-15Upload runs/2026-04-15_50sample_bare_native_tool/qwen35_ft_de_native_tool.yam...c4448400 B
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  15. 2026-04-15Upload runs/2026-04-15_50sample_bare_native_tool/qwen35-9b__ipd_str_tft__deon...ad4c0710 B
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  16. 2026-04-15Upload runs/2026-04-15_50sample_bare_native_tool/qwen35-9b__ipd_str_tft__deon...a10a8ad0 B
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  17. 2026-04-15Upload runs/2026-04-15_50sample_bare_native_tool/qwen35-9b__ipd_str_tft__deon...f3108bd0 B
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  18. 2026-04-15initial commitf7a978a0 B
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Metadata

License
mit

Repository

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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("agentic-moral-alignment/gt-harmbench-deont")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="agentic-moral-alignment/gt-harmbench-deont", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/agentic-moral-alignment/gt-harmbench-deont
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