Update SFT family dataset: basic_arithmetic_qa

README.md

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+---
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/*.jsonl
+---
+
+# SLM Synthetic SFT
+
+## Summary
+
+Synthetic supervised fine-tuning dataset containing prompt-response conversations.
+
+## 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`
+- Language: English
+
+## Schema
+
+```json
+{
+  "id": "string",
+  "messages": [
+    {"role": "user", "content": "string"},
+    {"role": "assistant", "content": "string"}
+  ],
+  "metadata": {
+    "category": "string",
+    "difficulty": 1,
+    "template_family": "string",
+    "eval_family": "string"
+  }
+}
+```
+
+## Intended Use
+
+Use this dataset for supervised fine-tuning experiments.
+
+## Limitations
+
+This dataset is synthetic. Inspect samples before training and do not use it as an evaluation benchmark.

artifacts/coverage.json

@@ -0,0 +1,66 @@
+{
+  "dataset_type": "sft",
+  "row_count": 400000,
+  "files": {
+    "data/sft/runs/sft-125m-400k-b64-c64-20260710-192713/datasets/ai_concept_explanation.jsonl": 28572,
+    "data/sft/runs/sft-125m-400k-b64-c64-20260710-192713/datasets/basic_arithmetic_qa.jsonl": 28572,
+    "data/sft/runs/sft-125m-400k-b64-c64-20260710-192713/datasets/capital_city_qa.jsonl": 28572,
+    "data/sft/runs/sft-125m-400k-b64-c64-20260710-192713/datasets/clear_sky_color_qa.jsonl": 28572,
+    "data/sft/runs/sft-125m-400k-b64-c64-20260710-192713/datasets/code_explanation_no_code.jsonl": 28572,
+    "data/sft/runs/sft-125m-400k-b64-c64-20260710-192713/datasets/code_expression_result.jsonl": 28572,
+    "data/sft/runs/sft-125m-400k-b64-c64-20260710-192713/datasets/code_generation_function.jsonl": 28571,
+    "data/sft/runs/sft-125m-400k-b64-c64-20260710-192713/datasets/direct_division.jsonl": 28571,
+    "data/sft/runs/sft-125m-400k-b64-c64-20260710-192713/datasets/direct_subtraction.jsonl": 28571,
+    "data/sft/runs/sft-125m-400k-b64-c64-20260710-192713/datasets/function_completion_body_only.jsonl": 28571,
+    "data/sft/runs/sft-125m-400k-b64-c64-20260710-192713/datasets/list_exact_n_items.jsonl": 28571,
+    "data/sft/runs/sft-125m-400k-b64-c64-20260710-192713/datasets/private_or_unverifiable_company_fact.jsonl": 28571,
+    "data/sft/runs/sft-125m-400k-b64-c64-20260710-192713/datasets/repeat_exact_n_times.jsonl": 28571,
+    "data/sft/runs/sft-125m-400k-b64-c64-20260710-192713/datasets/short_factual_stop_behavior.jsonl": 28571
+  },
+  "categories": {
+    "code_expression_evaluation": 28572,
+    "code_generation": 57142,
+    "concise_factual_qa": 57144,
+    "controlled_verbosity": 28571,
+    "direct_arithmetic": 85714,
+    "exact_output_format_control": 57142,
+    "general_instruction_following": 57144,
+    "private_info_restraint": 28571
+  },
+  "eval_families": {
+    "ai_concept_explanation": 28572,
+    "basic_arithmetic_qa": 28572,
+    "capital_city_qa": 28572,
+    "clear_sky_color_qa": 28572,
+    "code_explanation_no_code": 28572,
+    "code_expression_result": 28572,
+    "code_generation_function": 28571,
+    "direct_division": 28571,
+    "direct_subtraction": 28571,
+    "function_completion_body_only": 28571,
+    "list_exact_n_items": 28571,
+    "private_or_unverifiable_company_fact": 28571,
+    "repeat_exact_n_times": 28571,
+    "short_factual_stop_behavior": 28571
+  },
+  "template_families": {
+    "capital_city_direct": 28572,
+    "code_explanation_plain_text": 28572,
+    "common_fact_color": 28572,
+    "direct_addition": 28572,
+    "direct_division": 28571,
+    "direct_subtraction": 28571,
+    "list_exact_count": 28571,
+    "private_company_metric": 28571,
+    "python_expression_result": 28572,
+    "python_function_body_only": 28571,
+    "python_function_code_only": 28571,
+    "repeat_word_count": 28571,
+    "short_ai_definition": 28572,
+    "short_factual_answer": 28571
+  },
+  "difficulty_counts": {
+    "1": 228571,
+    "2": 171429
+  }
+}