Add Assistent reference books and remove training dataset output.

Introduce books/ with civitai-krea2 and HF fictext builders, sha-diff seed to VM, and drop train.jsonl from the civitai scrape pipeline.

Co-authored-by: Cursor <cursoragent@cursor.com>

tests/test_civitai_dataset.py

@@ -18,7 +18,6 @@ from gpu_rent.civitai_dataset import (
     reaction_score,
     search_row,
     tags_from_image,
-    train_row,
 )
 from gpu_rent.errors import CloudError
 
@@ -108,7 +107,7 @@ def test_normalize_skips_low_score():
     )
 
 
-def test_train_and_search_rows():
+def test_search_row():
     row = {
         "id": 7,
         "rating": "r",
@@ -121,11 +120,6 @@ def test_train_and_search_rows():
         "params": {"steps": 8, "cfgScale": 1, "sampler": "euler"},
         "resources": [{"type": "lora", "modelVersionId": 1, "weight": 0.5}],
     }
-    tr = train_row(row)
-    assert "Tags: woman, cinematic" in tr["instruction"]
-    assert "Rating: r" in tr["instruction"]
-    assert "A woman" in tr["output"]
-    assert "cfg: 1" in tr["output"]
     sr = search_row(row)
     assert sr["id"] == 7
     assert sr["loras"] == [{"versionId": 1, "weight": 0.5}]
@@ -165,16 +159,16 @@ def test_cmd_split_writes_artifacts(tmp_path: Path):
         for r in rows:
             fh.write(json.dumps(r) + "\n")
     counts = cmd_split(out_root=tmp_path, log=lambda m: None)
-    assert counts["train"] == 2
     assert counts["search"] == 2
     assert counts["kind:checkpoint"] == 1
     assert counts["kind:lora"] == 1
     assert counts["rating:pg"] == 1
     assert counts["rating:x"] == 1
+    assert counts.get("book:civitai-krea2") == 2
     search = (tmp_path / "datasets" / "civitai" / "search.jsonl").read_text(encoding="utf-8")
     assert '"id": 1' in search
-    train = (tmp_path / "datasets" / "civitai" / "train.jsonl").read_text(encoding="utf-8")
-    assert "Write a Krea 2 prompt" in train
+    book = tmp_path / "books" / "civitai-krea2" / "search.jsonl"
+    assert book.is_file()
 
 
 def _mock_response(payload: dict, status: int = 200) -> httpx.Response: