remove unnecessary print statement from sdg_op

Signed-off-by: Michael Clifford <mcliffor@redhat.com>

pipeline.yaml

@@ -1556,8 +1556,7 @@ deploymentSpec:
           \ http_client=custom_http_client\n        )\n    else:\n        client =\
           \ openai.OpenAI(base_url=endpoint, api_key=api_key)\n\n    taxonomy_base\
           \ = \"main\" if repo_branch or (repo_pr and int(repo_pr) > 0) else \"empty\"\
-          \n\n    print(\"Generating synthetic dataset for:\")\n    print()\n    print(read_taxonomy(taxonomy_path,\
-          \ taxonomy_base))\n\n    set_precomputed_skills_data_ratio(sampling_size=sdg_sampling_size)\n\
+          \n\n    set_precomputed_skills_data_ratio(sampling_size=sdg_sampling_size)\n\
           \n    # generate_data has a magic word for its taxonomy_base argument -\
           \ 'empty'\n    # it allows generating from the whole repo, see:\n    # https://github.com/instructlab/sdg/blob/c6a9e74a1618b1077cd38e713b8aaed8b7c0c8ce/src/instructlab/sdg/utils/taxonomy.py#L230\n\
           \    generate_data(\n        client=client,\n        num_instructions_to_generate=num_instructions_to_generate,\n\

sdg/components.py

@@ -71,10 +71,6 @@ def set_precomputed_skills_data_ratio(sampling_size: float):
 
     taxonomy_base = "main" if repo_branch or (repo_pr and int(repo_pr) > 0) else "empty"
 
-    print("Generating synthetic dataset for:")
-    print()
-    print(read_taxonomy(taxonomy_path, taxonomy_base))
-
     set_precomputed_skills_data_ratio(sampling_size=sdg_sampling_size)
 
     # generate_data has a magic word for its taxonomy_base argument - 'empty'