| --- |
| configs: |
| - config_name: climbmix |
| data_files: |
| - split: train |
| path: climbmix/*.parquet |
| - config_name: zyda |
| data_files: |
| - split: train |
| path: zyda/*.parquet |
| - config_name: lesswrong |
| data_files: |
| - split: train |
| path: lesswrong/*.parquet |
| --- |
| |
| # pretraining-filter-annotated |
|
|
| Copies of [karpathy/climbmix-400b-shuffle](https://huggingface.co/datasets/karpathy/climbmix-400b-shuffle), |
| [Zyphra/Zyda-2](https://huggingface.co/datasets/Zyphra/Zyda-2) (`sample-100BT`), and |
| [geodesic-research/control-pretraining-datasets](https://huggingface.co/datasets/geodesic-research/control-pretraining-datasets) |
| (`combined/train`), with per-stage decisions from a multi-stage "useful to a misaligned AI" |
| pretraining filter added to every row. Original columns are unchanged. Built 2026-08-10. |
|
|
| ## Filter pipeline |
|
|
| canary check -> CPU regex prefilter -> gpt-5-nano relevance (first 4,000 chars, stop if < 2) |
| -> gpt-5-mini score (first 6,000 chars, stop if < 4) -> gpt-5.5 judge |
| (prompts/judge_new.txt, first 400k chars). Production decision: filter iff canary or judge >= 4. |
| |
| Prompt hashes (sha256): nano.txt 8ec4a5f8082da285c5c49e55ec0ef1c53bec4b50d704b54991dfc7beab19234b, mini.txt af2396a96350997533b937c84de19a23e9f925020ccf5489ed82ce1045d748fd, |
| judge_new.txt aa59f1f055f9ec3517014dd7eb13cd5c93ec15f90e7059c260ac34b642394e69. |
|
|
| ## Added columns |
|
|
| | column | type | meaning | |
| |---|---|---| |
| | prefilter_pass | bool | CPU regex prefilter fired | |
| | canary | bool | BigBench canary GUID present (auto-filter; LLM stages skipped) | |
| | nano_score | int64 or null | gpt-5-nano score; null = stage did not run | |
| | mini_score | int64 or null | gpt-5-mini score; null = stage did not run | |
| | judge_score | int64 or null | gpt-5.5 judge_new score; null = stage did not run | |
| | judge_categories | JSON string or null | per-category {score, reason} from the judge | |
| | decided_by | string | canary / prefilter / nano / mini / judge | |
| | filter_decision | bool | canary or judge_score >= 4 | |
| |
| ## What the filter removes |
| |
| | config | documents | filtered docs | doc rate | corpus tokens | filtered tokens | token rate | |
| |---|---|---|---|---|---|---| |
| | climbmix | 553,240,576 | 5,886 | 0.0011% | 339.3B | ~10.7M | 0.0032% | |
| | zyda | 91,220,256 | 326 | 0.0004% | 94.8B | ~1.1M | 0.0012% | |
| | lesswrong | 67,278 | 2,087 | 3.10% | 0.40B | 20.17M | 5.00% | |
| |
| Token counts are `o200k_base`; lesswrong is exact, the web corpora are estimated from 30 sampled |
| shards each (95% CI: climbmix 4.6-19.8M, zyda 0.1-3.2M). Filtered documents run 1.6-3.3x longer |
| than the corpus mean, so token-level rates exceed document-level rates. Lowering the bar to |
| judge >= 3 would remove ~11.2M additional tokens across the three configs. |
|
|
| Pick your own threshold downstream: e.g. "filter at judge >= 3" or "route anything with |
| mini_score >= 4". See the source repo's METHOD.md for rubric details. Licenses/terms of the |
| source datasets apply to the copied columns. |
| |
