dream
Datasets
All datasets matching “dream”DreamZero-DROID-DatadreamDREAM is a multiple-choice Dialogue-based REAding comprehension exaMination dataset. In contrast to existing reading comprehension datasets, DREAM is the first to focus on in-depth multi-turn multi-party dialogue understanding.PhysicalAI-Autonomous-Vehicle-Cosmos-Drive-Dreams
PhysicalAI-Autonomous-Vehicle-Cosmos-Drive-Dreams
Paper | Paper Website | GitHub
Download
We provide a download script to download our dataset. If you have enough space, you can use git to download a dataset from huggingface.
usage: download.py [-h] --odir ODIR
[--file_types {hdmap,lidar,synthetic}[,…]]
[--workers N] [--clean_cache]
required arguments:
--odir ODIR Output… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-Autonomous-Vehicle-Cosmos-Drive-Dreams.dreamzero-egoverse-360-pretrainHR-Bench
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models
🌐Homepage | 📖 Paper
📊 HR-Bench
We find that the highest resolution in existing multimodal benchmarks is only 2K. To address the current lack of high-resolution multimodal benchmarks, we construct HR-Bench. HR-Bench consists two sub-tasks: Fine-grained Single-instance Perception (FSP) and Fine-grained Cross-instance Perception (FCP).… See the full description on the dataset page: https://huggingface.co/datasets/DreamMr/HR-Bench.finqadataset_info:
features:
name: id
dtype: string
name: post_text
sequence: string
name: pre_text
sequence: string
name: question
dtype: string
name: answers
dtype: string
name: table
sequence:
sequence: string
splits:
name: train
num_bytes: 26984130
num_examples: 6251
name: validation
num_bytes: 3757103
num_examples: 883
name: test
num_bytes: 4838430
num_examples: 1147
download_size: 21240722
dataset_size: 35579663