Add dataset card (commit a0d63e2f)
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README.md
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splits:
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- name: train
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num_bytes: 2961325
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num_examples: 251
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- name: val
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num_bytes: 69568
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num_examples: 6
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download_size: 1475283
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dataset_size: 3030893
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: val
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path: data/val-*
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---
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license: cc-by-4.0
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language: en
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tags:
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- alignment
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- ai-safety
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- lesswrong
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- ryan-greenblatt
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- sft
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size_categories:
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- n<10K
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# Ryan Greenblatt simulator — `continuation` format
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**Direct continuation.** Prompt = post title + opening (or recent) paragraphs of a Ryan Greenblatt LessWrong post. Target = the next ≤1500 cl100k tokens of paragraph-aligned prose. Long posts are chunked into multiple overlapping rows so the full post is reachable.
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Part of the Ryan-Greenblatt-simulator SFT project (Tinker / Qwen3-8B-base).
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See `OVERALL_PLAN.md` and `proposal.md` in the source repo for context.
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## Splits
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- `train`: 251 rows (drawn only from the train source-unit split).
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- `val`: 6 rows (drawn only from the val source-unit split).
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Source-level splits are at `post_id` granularity (seed=0,
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sha256("seed:post_id")). Heldout posts NEVER appear in any training row,
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including via paragraph or comment derivation.
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## Source corpus
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- HF dataset `abhayesian/ryan-greenblatt-lesswrong` (commit `fd1651c851c0a95e36d6418a9096391749c1d183`):
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66 posts + 1,123 comments authored by Ryan.
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- For dialogue: external LessWrong / EA Forum post bodies fetched via
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GraphQL (373 train+val external posts, 100% fetch success).
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## Generated by
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git commit `a0d63e2f79e61486de8460d7b67e5ebab065592b` of the project repo (Segment 1, Phase 0).
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## Known caveats
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- Synthesized prompt fields (QA questions, take-comparison claims) pass an
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identity-leak regex filter, but no guarantee of zero false negatives.
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- Distillation targets are LLM-generated bullets (not raw Ryan text);
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every bullet contains a verbatim Ryan quote.
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- Continuation targets are paragraph-aligned chunks, capped at ~1500
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cl100k tokens.
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- Co-authored posts: included in continuation/distillation/dialogue;
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excluded from QA and take-comparison targets.
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