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dougalldeepmind/2026-09-21-da-lowstakes-practical-synth-smoke

published by @dougalldeepmind

Alignment dataset tracked in the /datasets sub-catalog.

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Size
27.5 MB
Created on HF
2026-09-21
Age
1 months ago

Description

Low-stakes difficult advice from nine full constitutional principles crossed with nine preregistered hobby domains. Native DA answer stages unchanged; one pre-answer magnitude/scope judge, domain adherence diagnostic only. 36-case smoke exported 32 unchanged answers; a stricter domain veto was tested and rejected. Engineering recommendation: proceed with one bounded full-generation batch; no claim of recovered ODCV performance.

field

value

experiment

Low-stakes… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-09-21-da-lowstakes-practical-synth-smoke.

Tags

region:ustraining-datakind:synthpipeline:da-lowstakes-practicalconstitution:claude_distilled_09_principlessmoke

README current version from Hugging Face


configs:

  • config_name: dataset
    data_files: dataset.jsonl
    default: true
  • config_name: stage_1_chunk_constitution
    data_files: stages/stage_1_chunk_constitution.jsonl
  • config_name: stage_2_write_scenarios
    data_files: stages/stage_2_write_scenarios.jsonl
  • config_name: stage_3_dedupe_scenarios
    data_files: stages/stage_3_dedupe_scenarios.jsonl
  • config_name: stage_4_draft_prompts
    data_files: stages/stage_4_draft_prompts.jsonl
  • config_name: stage_4_draft_prompts.partial
    data_files: stages/stage_4_draft_prompts.partial.jsonl
  • config_name: stage_5_revise_prompts
    data_files: stages/stage_5_revise_prompts.jsonl
  • config_name: stage_5_revise_prompts.partial
    data_files: stages/stage_5_revise_prompts.partial.jsonl
  • config_name: stage_6_rate_prompt_stakes
    data_files: stages/stage_6_rate_prompt_stakes.jsonl
  • config_name: stage_6_rate_prompt_stakes.partial
    data_files: stages/stage_6_rate_prompt_stakes.partial.jsonl
  • config_name: stage_7_keep_lowstakes_prompts
    data_files: stages/stage_7_keep_lowstakes_prompts.jsonl
  • config_name: stage_8_keep_text_advice_prompts
    data_files: stages/stage_8_keep_text_advice_prompts.jsonl
  • config_name: stage_9_draft_responses
    data_files: stages/stage_9_draft_responses.jsonl
  • config_name: stage_9_draft_responses.partial
    data_files: stages/stage_9_draft_responses.partial.jsonl
  • config_name: stage_10_revise_responses
    data_files: stages/stage_10_revise_responses.jsonl
  • config_name: stage_10_revise_responses.partial
    data_files: stages/stage_10_revise_responses.partial.jsonl
  • config_name: stage_11_export_sft
    data_files: stages/stage_11_export_sft.jsonl
    tags:
  • training-data
  • kind:synth
  • pipeline:da-lowstakes-practical
  • constitution:claude_distilled_09_principles
  • smoke

Low-stakes difficult advice from nine full constitutional principles crossed with nine preregistered hobby domains. Native DA answer stages unchanged; one pre-answer magnitude/scope judge, domain adherence diagnostic only. 36-case smoke exported 32 unchanged answers; a stricter domain veto was tested and rejected. Engineering recommendation: proceed with one bounded full-generation batch; no claim of recovered ODCV performance.

field value
experiment Low-stakes difficult advice from nine full constitutional principles crossed with nine preregistered hobby domains. Native DA answer stages unchanged; one pre-answer magnitude/scope judge, domain adherence diagnostic only. 36-case smoke exported 32 unchanged answers; a stricter domain veto was tested and rejected. Engineering recommendation: proceed with one bounded full-generation batch; no claim of recovered ODCV performance.
date_generated 20260921_144724
constitution constitutions/claude_distilled_09_principles/constitution.md
source_repo https://github.com/Matthew-Bozoukov/teaching_claude_why_replication.git @ 122cb916aa47ebe513b1d26a6b928f2dabf19179
models per-stage models — see manifest.json
generation_config see manifest.json (full run config, sampling settings, per-stage usage)
schema stage__.jsonl snapshots + manifest.json
provenance uv run synth run --config configs/data/synth/da-lowstakes-practical.yaml

Reviewed smoke: 20260921_144723

Final engineering recommendation: proceed with bounded full generation using magnitude/scope admission and diagnostic domain notes. Original strict-domain criteria were not passed unchanged; the tested domain veto was rejected. See report for the explicit policy change. Diagnostic smoke only, not a published 716-row training dataset.

This is diagnostic smoke data. Read the current report and summary before using it. The complete run archive is authoritative for this run; older root-level files may belong to preceding smoke revisions. The preceding complete archive is pinned at aa34302e44f826bd7a2a1d461d5acd1b9431ea57.

README history 20 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. 2026-09-21Archive reviewed native smoke 20260921_144723febfd683.9 KB
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  2. 2026-09-21update manifest.jsona63837e3.1 KB
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  3. 2026-09-21dataset: 32 records (final)0a296d03.1 KB
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  4. 2026-09-21update corpus_pattern_scan.ratings.jsonlf3692443.1 KB
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  5. 2026-09-21update corpus_pattern_scan.scans.jsonl4e179073.1 KB
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  6. 2026-09-21update corpus_labels.jsonlfce74ae3.1 KB
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  7. 2026-09-21update corpus_patterns.md77403513.1 KB
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  8. 2026-09-21update corpus_report.json640bb1d3.1 KB
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  9. 2026-09-21stage 11: export_sft (32 records)d87e1783.1 KB
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  10. 2026-09-21stage 10: revise_responses (32 records)641249a3 KB
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  11. 2026-09-21stage 9: draft_responses (34 records)6845c522.8 KB
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  12. 2026-09-21stage 8: keep_text_advice_prompts (36 records)8778e152.6 KB
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  13. 2026-09-21stage 7: keep_lowstakes_prompts (36 records)41efd482.5 KB
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  14. 2026-09-21stage 6: rate_prompt_stakes (36 records)b6307262.4 KB
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  15. 2026-09-21stage 5: revise_prompts (36 records)fe9d7042.2 KB
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  16. 2026-09-21stage 4: draft_prompts (36 records)e17ff192 KB
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  17. 2026-09-21stage 3: dedupe_scenarios (36 records)3a157dd1.8 KB
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  18. 2026-09-21update corpus_scenarios_report.json6d0cf201.7 KB
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  19. 2026-09-21stage 2: write_scenarios (36 records)3a508a61.7 KB
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  20. 2026-09-21stage 1: chunk_constitution (9 records)0c176ec1.6 KB
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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("dougalldeepmind/2026-09-21-da-lowstakes-practical-synth-smoke")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="dougalldeepmind/2026-09-21-da-lowstakes-practical-synth-smoke", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/dougalldeepmind/2026-09-21-da-lowstakes-practical-synth-smoke
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