datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
GQA-Scene-Graph
Dataset Card for GQA-35k
The GQA (Visual Reasoning in the Real World) dataset is a large-scale visual question answering dataset that includes scene graph annotations for each image.
This is a FiftyOne dataset with 35000 samples.
Note: This is a 35,000 sample subset which does not contain questions, only the scene graph annotations as detection-level attributes.
You can find the recipe notebook for creating the dataset here
Installation
If you haven't already… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/GQA-Scene-Graph.chris_robot_scene_graph_droid_120This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "panda",
"total_episodes": 224,
"total_frames": 51656,
"total_tasks": 15,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 15,
"splits": {
"train": "0:224"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/brandonyang/chris_robot_scene_graph_droid_120.cholec-scene-graph-val
Cholec Scene-Graph Validation Benchmark
This is a self-contained, 2,298-example multiple-choice surgical VQA validation
benchmark derived from CholecT45 test videos 74, 75, 78, 79, and 80. It has six
subsets: L1 (504), L2 (504), L3 (390), L4 (300), CVS (300), and DYN (300).
Dataset structure
The dataset is Parquet-sharded for Hub preview and streaming. image contains the
primary PNG frame as bytes; image_after contains the second frame for DYN examples
and is null… See the full description on the dataset page: https://huggingface.co/datasets/EgoF0102/cholec-scene-graph-val.chris_robot_scene_graphThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "panda",
"total_episodes": 224,
"total_frames": 51656,
"total_tasks": 15,
"total_videos": 0,
"total_chunks": 0,
"chunks_size": 1000,
"fps": 15,
"splits": {
"train": "0:224"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/brandonyang/chris_robot_scene_graph.SceneGraphRecognition
