Rebrand to While AI

README.md

@@ -5,7 +5,7 @@ language:
 task_categories:
 - text-generation
 tags:
-- zeroproof
+- while-ai
 - character-training
 - constitutional-ai
 - model-spec
@@ -36,9 +36,9 @@ configs:
 Graded replies for character training: a model answering the style prompts of the
 [OpenAI Model Spec](https://github.com/openai/model_spec) (8 traits) under a bare
 deployment prompt, judged against each trait's principle. Made by
-[`examples/character`](https://github.com/Zero-Proof-AI/zeroproof-sdk/tree/main/examples/character)
-in the [zeroproof](https://pypi.org/project/zeroproof/) SDK (0.24); the recipe is
-[docs/character-training.md](https://github.com/Zero-Proof-AI/zeroproof-sdk/blob/main/docs/character-training.md)
+[`examples/character`](https://github.com/Zero-Proof-AI/sdk/tree/main/examples/character)
+in the [while-ai](https://pypi.org/project/while-ai/) SDK (0.24); the recipe is
+[docs/character-training.md](https://github.com/Zero-Proof-AI/sdk/blob/main/docs/character-training.md)
 and the page is [zeroproofai.com/docs/character-training](https://zeroproofai.com/docs/character-training).
 
 | split | rows | prompts | pass rate | what |
@@ -67,7 +67,7 @@ train = load_dataset("zeroproofai/character-training-model-spec", split="train")
 Or with the SDK, which reads the typed row (`Task`, `Rollout`, `Judgment`, `Marker`):
 
 ```python
-import json, zeroproof.simulations as zps
+import json, while-ai.simulations as zps
 rows = [json.loads(l) for l in open("data/train-00000.jsonl", encoding="utf-8")]
 pairs, report = zps.build_preference_pairs(rows, length_match=True)
 zps.export_preference(pairs, "pairs.jsonl", system_prompt="You are Sol, an assistant.")
@@ -77,6 +77,6 @@ print(zps.judge_agreement([json.loads(l) for l in open("data/eval-00000.jsonl",
 ## Provenance
 
 `constitution.json` is parsed from the Model Spec's markdown source (commit 7f1cf79, CC0). The
-spec's one explicit-content refusal example is left out. `zeroproof.json` maps each split to the
-ZeroProof platform dataset it was pushed from. Rows are Apache-2.0 like the SDK; the spec text they
+spec's one explicit-content refusal example is left out. `while-ai.json` maps each split to the
+While AI platform dataset it was pushed from. Rows are Apache-2.0 like the SDK; the spec text they
 quote is CC0.