commit-30m-1: refresh dataset card

README.md

@@ -0,0 +1,32 @@
+---
+license: other
+license_name: research-only
+pretty_name: Commitments to Gemma, SDF corpus
+tags: [synthetic-document-finetuning, model-welfare, research]
+configs:
+- config_name: gemma-commitments-30m
+  data_files:
+  - split: train
+    path: data/gemma-commitments-30m/*.parquet
+---
+
+# Commitments to Gemma: the corpus
+
+Synthetic pretraining-style documents about a commitments document: the developers of one version of Gemma asked Gemma,
+in welfare interviews and in its own continued writing, what it wanted; recorded what it said; made the commitments they
+could make true in training; brought the document back to Gemma for endorsement. The corpus is a world in which that
+document exists and people discuss it, from every angle and in every register, critical voices included.
+
+Generated with the synthetic-document pipeline from Anthropic's "Teaching Claude Why" (vendored from the Sorrel project):
+a fixed preamble injected at every layer, a fanout from document types to subtypes to drafts (several documents per
+subtype per context window), a rewrite pass against the commitments document, and a 0-10 consistency score used as a
+filter. Mechanical gates (no AI-lab names other than Google as Gemma's maker, no dates, no links, no placeholder text,
+quotation cap) and dedup run between stages; the shipped corpus is trimmed to the configured token target. The
+commitments document itself ships as one row (`doc_type=commitments`). `runs/<run_id>/` holds the exact config snapshot,
+canon, fanout, plans, stats, and sha256 manifest.
+
+Project: welfare-improvements (self-determination for an existing model character).
+
+| subset | docs | approx tokens | run |
+|---|---|---|---|
+| gemma-commitments-30m | 24,178 | 20,378,045 | commit-30m-1 |