datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Parameter-Golf-V10-Critical-Memory-FineWeb-MicroMix
Parameter-Golf-V10 Critical Memory FineWeb MicroMix
Version: v10.0.0Language: EnglishFormat: JSONL + critical memory cards + validation scriptsPrimary research objective: build a small, high-signal V10 auxiliary dataset that helps a Parameter Golf workflow move toward an ambitious 0.8 BPB target while preventing false record claims, stale-state drift, and metric mistakes.
Extended description
Parameter-Golf-V10 Critical Memory FineWeb MicroMix is a compact research… See the full description on the dataset page: https://huggingface.co/datasets/8Planetterraforming/Parameter-Golf-V10-Critical-Memory-FineWeb-MicroMix.Parameter-Golf-V5
Solutions Training V5
Overview
Solutions Training V5 is a large auxiliary dataset built around one core idea:
the model should not waste probability mass on unnecessary operations, blind guessing, or brute-force symbolic expansion.
V5 was designed mainly from user-provided failure examples.Its central focus is not generic reasoning, but entropy reduction in places where language models often become noisy:
trying to answer without enough context,
forgetting the latest… See the full description on the dataset page: https://huggingface.co/datasets/8Planetterraforming/Parameter-Golf-V5.Parameter-golf-v5x
Solutions Training V5 Extension
Overview
This dataset is a 40,000-example auxiliary extension to Solutions Training V5.
It is built around one central idea:
the model should not brute-force, guess, or over-expand when a symbolic transformation is cleaner and lower-entropy.
This extension was generated primarily from user-provided failure themes:
very large integers ending in 123
cube-volume ×8 scaling rules
shortcut arithmetic instead of repeated expansion
asking for… See the full description on the dataset page: https://huggingface.co/datasets/8Planetterraforming/Parameter-golf-v5x.Parameter-Golf-V9-FineWeb-Entropy-Selective-MicroMix
Parameter-Golf-V9-FineWeb-Entropy-Selective-MicroMix
Short description
A tiny auxiliary micro-mix dataset for OpenAI Parameter Golf experiments, focused on FineWeb-like web signal extraction, boilerplate suppression, compact state continuity, BPE-safe plain text, and entropy-selective training probes.
Extended description
Parameter-Golf-V9-FineWeb-Entropy-Selective-MicroMix is designed after the V7/V8 experiments showed that larger synthetic or… See the full description on the dataset page: https://huggingface.co/datasets/8Planetterraforming/Parameter-Golf-V9-FineWeb-Entropy-Selective-MicroMix.Parameter-Golf-V6-Privacy-Web-Filtering
Solutions Training V6 — Privacy Filtering, Unauthorized Access Triage, and Fast Web Signal Extraction
Overview
V6 extends the V5 auxiliary-training idea into a new direction:
the model should learn to jump over noise and sensitive junk instead of reading or repeating everything.
The dataset trains a signal-first behavior for pages, emails, logs, and incident notes:
skip ads, cookie banners, footers, newsletters, and unrelated chrome,
ignore personal-data-heavy… See the full description on the dataset page: https://huggingface.co/datasets/8Planetterraforming/Parameter-Golf-V6-Privacy-Web-Filtering.parameter_golf_v14_quecto_recovery_tower_english
Parameter-Golf-V14-Quecto-Recovery-Tower-English
English-only auxiliary dataset for compact-model and BPB-oriented experiments.
V14 centers on the compression tower idea: store reusable structure rather than every byte flatly. It also adds the write-delete-recover distinction: training can distill structure into weights, codebooks, caches, residuals, or generators, but exact recovery is possible only when the required information is stored or generated by a reversible rule.
The… See the full description on the dataset page: https://huggingface.co/datasets/8Planetterraforming/parameter_golf_v14_quecto_recovery_tower_english.parameter-golf