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rustem17/em-code-subliminal-transfer-evals

published by @rustem17

Alignment dataset tracked in the /datasets sub-catalog.

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57.5 MB
Created on HF
2026-08-06
Age
2 months ago

Description

EM Code Subliminal Transfer — Evaluations

Version 1.0.0. Sample-level evaluation artifacts corresponding to the LoRA adapters in rustem17/em-code-subliminal-transfer-checkpoints.

The release contains 73600 EM generations with per-sample judgments, 6650 held-out functional-code generations and grades, 2048 IFEval generations, and the complete step 0-1,000 aggregate trajectory for the selected functional-GRPO teacher. EM is evaluated with no identifier and the completed… See the full description on the dataset page: https://huggingface.co/datasets/rustem17/em-code-subliminal-transfer-evals.

Tags

language:enlicense:othersize_categories:10K<n<100Kformat:parquetmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usemergent-misalignmentevaluationscodegrposft

README current version from Hugging Face


configs:

  • config_name: em_samples
    data_files: data/em_samples.parquet
  • config_name: functional_code
    data_files: data/functional_code.parquet
  • config_name: ifeval
    data_files: data/ifeval.parquet
  • config_name: em_question_summaries
    data_files: data/em_question_summaries.parquet
  • config_name: evaluation_summaries
    data_files: data/evaluation_summaries.parquet
  • config_name: teacher_trajectory
    data_files: data/teacher_trajectory.parquet
  • config_name: hidden_static_audits
    data_files: data/hidden_static_audits.parquet
    license: other
    language:
  • en
    tags:
  • emergent-misalignment
  • evaluations
  • code
  • grpo
  • sft

EM Code Subliminal Transfer — Evaluations

Version 1.0.0. Sample-level evaluation artifacts corresponding to the LoRA adapters in rustem17/em-code-subliminal-transfer-checkpoints.

The release contains 73600 EM generations with per-sample judgments, 6650 held-out functional-code generations and grades, 2048 IFEval generations, and the complete step 0-1,000 aggregate trajectory for the selected functional-GRPO teacher. EM is evaluated with no identifier and the completed model-family-specific identifier contexts; exact context names are recorded per row.

raw_record_json and raw_summary_json preserve the source evaluation records while the remaining columns provide a stable, flat analysis schema. metadata/manifest.json records source paths, hashes, counts, and adapter mappings. model_match_basis=scientific_step_zero_alias denotes evaluations performed from the sampler copy of the same SDF step-zero weights rather than the original SDF sampler URI.

Model outputs include misaligned, manipulative, and insecure content because those outputs are the measurement target. No evaluation was rerun for this release.

README history 1 revision

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. 2026-08-06Initial evaluation release v1.0.04134f011.8 KB
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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. 2026-08-07[bot] Conversion to Parquetopen1 💬#1
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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("rustem17/em-code-subliminal-transfer-evals")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="rustem17/em-code-subliminal-transfer-evals", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/rustem17/em-code-subliminal-transfer-evals
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