datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ConnectomeBench2
⚠️ Release Disclaimer — please read
This dataset is currently under active review for NeurIPS, so the main branch still points to the initially submitted V1 of the dataset. For the most up-to-date version — the one used by the arXiv version of the paper — load the v2 revision:
load_dataset("jeffbbrown2/ConnectomeBench2", revision="v2")
ConnectomeBench2
ConnectomeBench2 is a unified benchmark for automated proofreading of connectomic neural-segmentation data. 401,170 samples… See the full description on the dataset page: https://huggingface.co/datasets/jeffbbrown2/ConnectomeBench2.heb-connected-composed-4styleConnectomeBenchAccess to the code necessary to run the benchmark is available at https://github.com/jffbrwn2/ConnectomeBench.
heb-connected-composed-3trackprincess-connect-imagesstyle_transfercircuit_connectionConnect-Foursketchvlm-connect-dots
SketchVLM: Physics Ball Drop Dataset
This dataset is part of the SketchVLM framework, which enables Vision-Language Models (VLMs) to produce non-destructive, editable SVG overlays on input images to visually explain their reasoning. The Physics Ball Drop benchmark specifically evaluates a model's ability to predict the trajectory of a ball through obstacles (based on PHYRE).
Paper: SketchVLM: Vision language models can annotate images to explain thoughts and guide users
Project… See the full description on the dataset page: https://huggingface.co/datasets/loganbolton/sketchvlm-connect-dots.trading_card_display_classification_1_5k_v3
Dataset Card for "trading_card_display_classification_1_5k_v3"
More Information needed
aff_sup
Notification: Uploading! In 2~3 days.
It's a part of the FEText, we will upload all the dataset recently (2~3 days).
license: apache-2.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image_path
dtype: string
- name: caption
dtype: string
- name: image
dtype: image
splits:
- name: train
num_bytes: 211075634
num_examples: 568
download_size: 210931011
dataset_size:… See the full description on the dataset page: https://huggingface.co/datasets/connorxian/aff_sup.connor_dataThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "fairino",
"total_episodes": 0,
"total_frames": 0,
"total_tasks": 0,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 10,
"splits": {},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/kobikelemen/connor_data.heb-connected-bigrams17-diffpentrading_card_display_classification_v2card_display_v1card-display-detection-dataseteye_heart_connect_mediareflection-connection
Dataset Card for Reflection Connection
Dataset Description
This data was produced by ThinkOnward for the Reflection Connection Challenge, from real seismic images from Australia and the Netherlands.
The data for this Challenge consists of four parts:
Training set (data/train) of 561 images, divided in 8 distinct categories
Validation set (data/test) of 105 images, divided in 8 distinct categories
Image corpus (data/image_corpus) of 362 unlabeled images with unknown… See the full description on the dataset page: https://huggingface.co/datasets/thinkonward/reflection-connection.TAPOconnected_0528zb_games_connect_fourCONNOS