Crownelius/GPT-5.6-Sol-Luna-Terra-Traces

GPT-5.6 — Sol · Terra · Luna Library

A maintained mirror of every GPT-5.6 Sol / Terra / Luna dataset on Hugging Face — content-verified, attributed, in one place.

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// what this is

This is a maintained library — a community mirror of every publicly-available GPT-5.6 Sol / Terra / Luna dataset on Hugging Face, aggregated, validity-filtered, and content-verified with per-row source attribution. It is not Crownelius' own data. It exists to give the GPT-5.6 variant family one clean, honest home, with full credit to each original author. New verified sources are appended as they appear.

The three variants

Variant	Rows	Source	Notes
🟠 Sol	5,402	greghavens/gpt-5.6-sol-coding-and-debugging-traces	Codex-CLI agentic coding & debugging rollouts; teacher_model: gpt-5.6-sol, xhigh reasoning, acceptance-test verified.
🟢 Terra	0	—	No public GPT-5.6-Terra dataset exists on Hugging Face yet. Terra is named here as intended scope; verified Terra sources will be added the moment they appear.
🔵 Luna	886	empero-ai/gpt-5.6-luna-sft-900x	Diverse synthetic SFT distilled from openai/gpt-5.6-luna. Note: the assistant is given a "Qwythos / Empero AI" persona — genuine gpt-5.6-luna output, but a persona-injected distill, not raw traces.

Total: 6,288 content-verified rows across the two variants that currently have public data (Sol, Luna).

Provenance & honesty

Every retained row is content-verified as genuine GPT-5.6 output — Sol rows carry teacher_model: gpt-5.6-sol + Codex call_… tool-IDs; Luna rows carry model: openai/gpt-5.6-luna. Neither carries Anthropic (toolu_/claude) or foreign-model signals. This provenance is source-asserted and content-verified — it is not, and cannot be, cryptographically certified by OpenAI, and this dataset claims no OpenAI endorsement. Terra is listed at 0 rows rather than filled with anything unverified — a title should not promise data that isn't here.

Sibling library (Anthropic models): Crownelius/Complete-FABLE.5-traces-2M. Kept in separate repos so each holds one honest model lineage.

Schema

Column	Type	Meaning
row_hash	string	sha256(row_json) — stable de-duplication key
first_source_dataset	string	Upstream dataset (also identifies the variant: …gpt-5.6-sol… vs …gpt-5.6-luna…)
first_source_config / first_source_split	string	Upstream config / split
first_source_row_index	int64	Index within the upstream source
seen_count	int64	Times this canonical row was seen during aggregation
row_json	string	The full source row as JSON — parse for messages, tools, model / teacher_model, etc.

Sources & attribution

Re-hosted and validity-filtered under CC-BY-4.0 with full credit:

• Sol — greghavens (gpt-5.6-sol-coding-and-debugging-traces)
• Luna — Empero AI (gpt-5.6-luna-sft-900x)

Loading

from datasets import load_dataset
ds = load_dataset("Crownelius/GPT-5.6-Sol-Luna-Terra-Traces", split="train")

# filter to a variant via provenance:
sol  = ds.filter(lambda r: "gpt-5.6-sol"  in r["first_source_dataset"])
luna = ds.filter(lambda r: "gpt-5.6-luna" in r["first_source_dataset"])