Add --subset and --split args for multi-config datasets

generate-responses.py

@@ -182,6 +182,8 @@ def main(
     max_batch_tokens: int = 512,
     dtype: str = "bfloat16",
     attn_implementation: str = "paged|sdpa",
+    subset: Optional[str] = None,
+    split: str = "train",
     skip_long_prompts: bool = True,
     max_samples: Optional[int] = None,
     hf_token: Optional[str] = None,
@@ -246,8 +248,8 @@ def main(
     )
 
     # Load dataset
-    logger.info(f"Loading dataset: {src_dataset_hub_id}")
-    dataset = load_dataset(src_dataset_hub_id, split="train")
+    logger.info(f"Loading dataset: {src_dataset_hub_id}" + (f" ({subset})" if subset else ""))
+    dataset = load_dataset(src_dataset_hub_id, subset, split=split)
 
     if max_samples is not None and max_samples < len(dataset):
         logger.info(f"Limiting dataset to {max_samples} samples")
@@ -427,6 +429,17 @@ Examples:
             default="Qwen/Qwen3-4B-Instruct-2507",
             help="Model to use for generation (default: Qwen3-4B-Instruct-2507)",
         )
+        parser.add_argument(
+            "--subset",
+            type=str,
+            help="Dataset subset/config name (e.g., 'SFT' for HuggingFaceTB/smoltalk2)",
+        )
+        parser.add_argument(
+            "--split",
+            type=str,
+            default="train",
+            help="Dataset split to use (default: train)",
+        )
         parser.add_argument(
             "--messages-column",
             type=str,
@@ -535,6 +548,8 @@ Examples:
             max_batch_tokens=args.max_batch_tokens,
             dtype=args.dtype,
             attn_implementation=args.attn_implementation,
+            subset=args.subset,
+            split=args.split,
             skip_long_prompts=args.skip_long_prompts,
             max_samples=args.max_samples,
             hf_token=args.hf_token,