fix: some hf dataset may need specified config name

examples/grpo_gsm8k/gsm8k.yaml

@@ -1,8 +1,9 @@
 data:
   # basic info
-  dataset_path: '/PATH/TO/DATASET/'
+  dataset_path: 'openai/gsm8k'
+  config_name: "main"
   train_split: 'train'
-  eval_split: ''
+  eval_split: 'test'
   format_config:
     prompt_key: 'question'
     response_key: 'answer'
@@ -24,7 +25,7 @@ model:
   model_path: '/PATH/TO/MODEL/'
   max_prompt_tokens: 256
   max_response_tokens: 1024
-  checkpoint_path: '/PATH/TO/CHECKPOINT/'
+  checkpoint_path: ""
 cluster:
   node_num: 1
   gpu_per_node: 8
@@ -35,7 +36,7 @@ buffer:
     name: gsm8k_buffer
     storage_type: queue
     algorithm_type: ppo
-    path: 'sqlite:////gsm8k.db'
+    path: 'sqlite:///gsm8k.db'
   # sft_warmup_dataset: # Uncomment these to enable sft warmup
   #   name: warmup_data
   #   storage_type: file

trinity/common/config.py

@@ -45,6 +45,7 @@ class DataConfig:
 
     dataset_path: str = ""
     train_split: str = "train"
+    config_name: Optional[str] = None
     eval_split: Optional[str] = None  # TODO: check data format
     format_config: FormatConfig = field(default_factory=FormatConfig)
 

trinity/common/task.py

@@ -101,6 +101,15 @@ def task_generator(
         yield task
 
 
+def load_hf_dataset(config: DataConfig, split: str):
+    """Load a Hugging Face dataset with optional configuration name."""
+    if config.config_name is not None:
+        hf_dataset = load_dataset(config.dataset_path, config.config_name, split=split)
+    else:
+        hf_dataset = load_dataset(config.dataset_path, split=split)
+    return hf_dataset
+
+
 @dataclass
 class TaskSet:
     """A TaskSet class that defines a set of tasks and their associated reward functions."""
@@ -125,7 +134,8 @@ def load(
         # disable datasets caching to avoid reuse old-version dataset
         datasets.disable_caching()
         if task_type == TaskType.EVAL:
-            dataset = load_dataset(config.dataset_path)[config.eval_split]
+            assert config.eval_split is not None, "eval_split must be provided for eval taskset."
+            dataset = load_hf_dataset(config, config.eval_split)
         else:  # default
             if task_type != TaskType.EVAL and config.db_url != "":
                 logger.info(f"Loading dataset from database with url: {config.db_url}")
@@ -134,7 +144,7 @@ def load(
                 dataset = Dataset.from_sql(RftDatasetModel.__tablename__, f"{db_type}:///{db_name}")
             elif config.dataset_path != "":
                 logger.info(f"Loading dataset from local file with path: {config.dataset_path}.")
-                dataset = load_dataset(config.dataset_path)[config.train_split]
+                dataset = load_hf_dataset(config, config.train_split)
             else:
                 raise ValueError("No dataset path or db url provided.")
         datasets.enable_caching()