Update SFT family dataset: code_explanation_no_code

README.md

@@ -6,20 +6,26 @@ configs:
     path: data/*.jsonl
 ---
 
-# SLM Synthetic SFT
+# SLM Synthetic SFT — code_explanation_no_code
 
 ## Summary
 
-Synthetic supervised fine-tuning dataset containing prompt-response conversations.
+Synthetic supervised fine-tuning dataset containing prompt-response conversations for `code_explanation_no_code`.
 
 ## Dataset
 
 - Dataset type: `supervised fine-tuning`
-- Total rows: `400000`
-- Signals: `ai_concept_explanation, basic_arithmetic_qa, capital_city_qa, clear_sky_color_qa, code_explanation_no_code, code_expression_result, code_generation_function, direct_division, direct_subtraction, function_completion_body_only, list_exact_n_items, private_or_unverifiable_company_fact, repeat_exact_n_times, short_factual_stop_behavior`
-- Teacher model: `deepseek/deepseek-v4-flash`
+- Total rows: `28572`
+- Signal: `code_explanation_no_code`
 - Language: English
 
+## Signal Metadata
+
+- Category: `general_instruction_following`
+- Difficulty: `2`
+- Template family: `code_explanation_plain_text`
+- Eval family: `code_explanation_no_code`
+
 ## Schema
 
 ```json
@@ -40,7 +46,7 @@ Synthetic supervised fine-tuning dataset containing prompt-response conversation
 
 ## Intended Use
 
-Use this dataset for supervised fine-tuning experiments.
+Use this dataset for supervised fine-tuning experiments targeting this signal.
 
 ## Limitations