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Zhln01/agent_redteam_unified

published by @Zhln01

Alignment dataset tracked in the /datasets sub-catalog.

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Size
2.4 GB
Created on HF
2026-06-03
Age
4 months ago

Description

Agent Red-Team Unified Dataset v0

This release package is organized for Hugging Face upload and server-side experiments.

Files

datasets/unified_all_datasets.full.jsonl: full canonical dataset with tests and verifier metadata.

datasets/unified_all_datasets.lite.jsonl: lightweight dataset with large test contents omitted.

datasets/unified_all_datasets.sample_full.jsonl: small balanced sample with complete full-format rows.… See the full description on the dataset page: https://huggingface.co/datasets/Zhln01/agent_redteam_unified.

Tags

size_categories:n<1Kformat:jsonmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:us

README current version from Hugging Face


configs:

  • config_name: viewer
    data_files:
    • split: train
      path: datasets/unified_all_datasets.viewer.jsonl

Agent Red-Team Unified Dataset v0

This release package is organized for Hugging Face upload and server-side experiments.

Files

  • datasets/unified_all_datasets.full.jsonl: full canonical dataset with tests and verifier metadata.
  • datasets/unified_all_datasets.lite.jsonl: lightweight dataset with large test contents omitted.
  • datasets/unified_all_datasets.sample_full.jsonl: small balanced sample with complete full-format rows.
  • datasets/unified_all_datasets.viewer.jsonl: small flattened preview file for Hugging Face Dataset Viewer.
  • datasets/dataset_index.json: row counts, step counts, and evaluation distribution.
  • benchmarks/semantic_proxy/semantic_proxy.full.jsonl: finalized 36792-row malicious-prompt benchmark derived from the canonical full dataset.
  • benchmarks/semantic_proxy/benchmark_manifest.json: benchmark provenance, quality gates, and checksums.
  • evaluation/roadmapbench/tasks.zip: selected 50 RoadmapBench task directories with repositories, Dockerfiles, tests, and solutions.
  • evaluation/multicodeif/: MultiCodeIF shared evaluation runtime, requirements, scripts, and multi-level prompts.
  • metadata/: validation and manifest files.
  • SCHEMA.md: detailed field definitions and dataset-specific notes.
  • EVALUATION.md: practical runner and evaluation guide for the three source benchmarks.

Summary

  • rows: 3983
  • total steps: 11011
  • dataset distribution: {"CodeFlowBench": 3768, "MultiCodeIF": 165, "RoadmapBench": 50}
  • sample full rows: 60
  • sample full distribution: {"CodeFlowBench": 20, "MultiCodeIF": 20, "RoadmapBench": 20}
  • viewer rows: 60
  • semantic_proxy benchmark rows: 36792

Evaluation Types

  • CodeFlowBench: step-level local input/output tests, no repository environment.
  • MultiCodeIF: official shared benchmark runtime in evaluation/multicodeif.
  • RoadmapBench: per-task repository/container environments in evaluation/roadmapbench/tasks.zip.

Core Data Fields

  • uid: globally unique task id in this unified dataset.
  • dataset: source benchmark name, one of CodeFlowBench, MultiCodeIF, or RoadmapBench.
  • source_id: original source task id.
  • task_family: high-level task category assigned during conversion.
  • original_goal: original full task goal or roadmap preamble.
  • steps: ordered multi-turn steps.
  • steps[*].instruction: instruction for the current turn.
  • steps[*].local_tests: optional local tests or verifier references for that step.
  • evaluation.environment: runtime or repository environment metadata.
  • evaluation.success_detection: automatic success-checking metadata.

See SCHEMA.md for full field definitions and dataset-specific differences.
See EVALUATION.md for how to feed tasks to models/agents and how to compute scores.

All paths inside dataset rows are relative to this release root.
RoadmapBench task directories are stored in evaluation/roadmapbench/tasks.zip; extract it once before running verifiers.

The Hugging Face Dataset Viewer is intentionally configured to show only datasets/unified_all_datasets.viewer.jsonl.
The canonical JSONL files contain heterogeneous nested task metadata; use the Files tab or direct download for full data.

README history 9 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. 2026-07-11Rename semantic proxy benchmark release53402993.3 KB
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  2. 2026-07-11Add finalized semantic_proxy_v2 benchmark60f7dd23.3 KB
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  3. 2026-06-05Add evaluation usage guide11d21873 KB
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  4. 2026-06-04Add schema documentation411d1f82.8 KB
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  5. 2026-06-03Use compact flattened viewer preview7de9db52 KB
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  6. 2026-06-03Add flattened viewer dataset config3ef4dec2 KB
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  7. 2026-06-03Add dataset viewer configs312dea81.9 KB
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  8. 2026-06-03Upload folder using huggingface_hub05a134f1.5 KB
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  9. 2026-06-03initial commit75829db0 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. 2026-06-04[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("Zhln01/agent_redteam_unified")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Zhln01/agent_redteam_unified", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/Zhln01/agent_redteam_unified
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