Add CameraBench binary evaluation dataset with 393 questions

README_HEADER.yaml

@@ -0,0 +1,14 @@
+---
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data.jsonl
+task_categories:
+- visual-question-answering
+- video-classification
+language:
+- en
+size_categories:
+- n<1K
+---

dataset_info.py

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+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"),
+                "first_frame": datasets.Image(),
+                "first_flow": datasets.Image(),
+                "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)
+                yield idx, record
+                idx += 1