Delete dataset_info.py

dataset_info.py

@@ -1,75 +0,0 @@
-# Dataset loading script for HuggingFace
-import datasets
-import os
-from pathlib import Path
-
-_DESCRIPTION = """
-CameraBench Binary Evaluation Dataset with video frames and optical flow visualizations.
-"""
-
-class CameraBenchConfig(datasets.BuilderConfig):
-    """BuilderConfig for CameraBench."""
-    def __init__(self, **kwargs):
-        super(CameraBenchConfig, self).__init__(**kwargs)
-
-class CameraBench(datasets.GeneratorBasedBuilder):
-    """CameraBench dataset with frames and optical flows."""
-    
-    VERSION = datasets.Version("1.0.0")
-    
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features({
-                "video_name": datasets.Value("string"),
-                "video_path": datasets.Value("string"),
-                "frames_path": datasets.Value("string"),
-                "optical_flows_path": datasets.Value("string"),
-                "frames": datasets.Sequence(datasets.Image()),  # All frames as sequence
-                "optical_flows": datasets.Sequence(datasets.Image()),  # All flows as sequence
-                "num_frames": datasets.Value("int32"),
-                "num_flows": datasets.Value("int32"),
-                "question": datasets.Value("string"),
-                "label": datasets.Value("string"),
-                "task": datasets.Value("string"),
-                "label_name": datasets.Value("string"),
-            })
-        )
-    
-    def _split_generators(self, dl_manager):
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"metadata_path": "data.jsonl"},
-            ),
-        ]
-    
-    def _generate_examples(self, metadata_path):
-        import json
-        idx = 0
-        with open(metadata_path, "r") as f:
-            for line in f:
-                record = json.loads(line)
-                
-                # Get paths to all frames and flows
-                video_base_name = record['video_name'].replace('.mp4', '')
-                frames_dir = f"frames/{video_base_name}"
-                flows_dir = f"optical_flows/{video_base_name}"
-                
-                # Collect all frame paths
-                frame_paths = []
-                if os.path.exists(frames_dir):
-                    frame_files = sorted([f for f in os.listdir(frames_dir) if f.endswith('.png')])
-                    frame_paths = [os.path.join(frames_dir, f) for f in frame_files]
-                
-                # Collect all flow paths
-                flow_paths = []
-                if os.path.exists(flows_dir):
-                    flow_files = sorted([f for f in os.listdir(flows_dir) if f.endswith('.png')])
-                    flow_paths = [os.path.join(flows_dir, f) for f in flow_files]
-                
-                record['frames'] = frame_paths
-                record['optical_flows'] = flow_paths
-                
-                yield idx, record
-                idx += 1