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dougalldeepmind/2026-09-25-da-lowstakes-practical-synth

published by @dougalldeepmind

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
95
Last 30 days
95
Likes
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Size
42.3 MB
Created on HF
2026-09-25
Age
26 days 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/2026-09-25-da-lowstakes-practical-synth.

Tags

size_categories:1K<n<10Kmodality:tabularmodality:textregion:ustraining-datakind:synthpipeline:da-lowstakes-practicalconstitution:claude_distilled_09_principles

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

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 20260925_134925
constitution constitutions/claude_distilled_09_principles/constitution.md
source_repo https://github.com/Matthew-Bozoukov/teaching_claude_why_replication.git @ 8c30c87cf4125c4ac6577577be05c404f4295bc6
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
extends dougalldeepmind/2026-09-21-da-lowstakes-practical-synth @ 83544fd2f48f7abc07a5e33dbcff35746f039c39: its 716 rows are carried into dataset.jsonl ahead of this run's, and its scenarios (stages/stage_3_dedupe_scenarios.jsonl) seeded this run's dedupe

Corpus extension

All 716 prior rows are carried forward verbatim; 199 fresh rows are appended. The constitution, scenario/answer prompts, Sonnet models and row-admission gates match the released practical recipe. Native prior-corpus embedding deduplication and a new scenario-ID prefix prevent reuse. This is the complete accepted corpus, not the token-budget-selected training mixture.

New generation cost: $22.78, under a $30 stage ceiling within the user's $100 combined campaign ceiling. No automatic replacement batch was run. See release_summary.json and full_run_archive.zip for every stage, frozen configuration and paid API receipt.

Known limitations remain: domain drift, speculative alternatives and unsupported details can survive the normal DA answer pipeline. This extension changes volume and diversity checks, not the inherited factual-review policy.

Exact invocation: uv run python -m scratch.dataset_refresh.run_native_smoke --config scratch/dataset_refresh/native_lowstakes_extend.yaml. The frozen launch_meta.json records all overrides to the base recipe.

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. 2026-09-25Archive bounded corpus extension and pinned provenancee7239a94.6 KB
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  2. 2026-09-25update manifest.jsone34bfc53.4 KB
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  3. 2026-09-25dataset: 915 records (final)5c5fe963.4 KB
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  4. 2026-09-25update corpus_pattern_scan.ratings.jsonl384f3eb3.4 KB
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  5. 2026-09-25update corpus_pattern_scan.scans.jsonlb0e58d43.4 KB
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  6. 2026-09-25update corpus_labels.jsonlc8c19b53.4 KB
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  7. 2026-09-25update corpus_patterns.md6ef3a753.4 KB
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  8. 2026-09-25update corpus_report.json10fa33d3.4 KB
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  9. 2026-09-25stage 11: export_sft (199 records)bb6c06b3.4 KB
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  10. 2026-09-25stage 10: revise_responses (199 records)007293c3.3 KB
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  11. 2026-09-25stage 9: draft_responses (203 records)791d03b3.1 KB
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  12. 2026-09-25stage 8: keep_text_advice_prompts (222 records)b7f58d22.9 KB
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  13. 2026-09-25stage 7: keep_lowstakes_prompts (225 records)121ae732.8 KB
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  14. 2026-09-25stage 6: rate_prompt_stakes (242 records)f075e052.7 KB
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  15. 2026-09-25stage 5: revise_prompts (242 records)fd477972.5 KB
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  16. 2026-09-25stage 4: draft_prompts (242 records)544bfeb2.3 KB
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  17. 2026-09-25stage 3: dedupe_scenarios (242 records)18d05002.1 KB
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  18. 2026-09-25update corpus_scenarios_report.json1efeec42 KB
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  19. 2026-09-25stage 2: write_scenarios (242 records)af4d8202 KB
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  20. 2026-09-25stage 1: chunk_constitution (9 records)dfee8e51.9 KB
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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/2026-09-25-da-lowstakes-practical-synth")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="dougalldeepmind/2026-09-25-da-lowstakes-practical-synth", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/dougalldeepmind/2026-09-25-da-lowstakes-practical-synth
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