diff --git a/src/instructlab/sdg/datamixing.py b/src/instructlab/sdg/datamixing.py
index 2a4f3923..5172fdfb 100644
--- a/src/instructlab/sdg/datamixing.py
+++ b/src/instructlab/sdg/datamixing.py
@@ -445,7 +445,9 @@ def __create_auxiliary_ds(rec):
 
 
 def _create_phase10_ds(
-    generated_dataset: Dataset, auxiliary_inst: Optional[Dict[str, List[str]]]
+    generated_dataset: Dataset,
+    auxiliary_inst: Optional[Dict[str, List[str]]],
+    use_legacy_pretraining_format: bool,
 ):
     """
     Create a dataset for Phase 1.0 of downstream training.
@@ -457,13 +459,20 @@ def _create_phase10_ds(
     knowledge_ds = _generate_knowledge_qa_dataset(
         generated_dataset, keep_context_separate=True
     )
-    knowledge_ds = _add_extra_contexts_to_samples(knowledge_ds, p=0.4)
+    raft_knowledge_ds = _add_extra_contexts_to_samples(knowledge_ds, p=0.4)
+    # Include phase07
+    pretraining_knowledge_ds = _generate_knowledge_qa_dataset(
+        generated_dataset, keep_context_separate=False
+    ).map(lambda rec: _conv_pretrain(rec, use_legacy_pretraining_format))
 
     auxiliary_dataset = _create_auxiliary_dataset(generated_dataset, auxiliary_inst)
+
     if auxiliary_dataset is not None:
-        phase10 = concatenate_datasets([knowledge_ds, auxiliary_dataset])
+        phase10 = concatenate_datasets(
+            [raft_knowledge_ds, pretraining_knowledge_ds, auxiliary_dataset]
+        )
     else:
-        phase10 = knowledge_ds
+        phase10 = concatenate_datasets([raft_knowledge_ds, pretraining_knowledge_ds])
     return phase10
 
 
@@ -601,7 +610,7 @@ def collect(
             )
 
             skills_phase_data = _create_phase10_ds(
-                new_generated_data, self.auxiliary_inst
+                new_generated_data, self.auxiliary_inst, use_legacy_pretraining_format
             )
             output_file_leaf_skills = (
                 f"node_datasets_{self.date_suffix}/{leaf_node_path}_p10.jsonl"