dre
Datasets
All datasets matching “dre”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.midi-classical-music
MIDI Classical Music
This dataset contains a comprehensive collection of MIDI files representing classical music compositions from various renowned composers.
The collection includes works from composers such as Bach, Beethoven, Chopin, Mozart, and many others.
The dataset is organized into directories by composer, with each directory containing MIDI files of their compositions.
The dataset is ideal for music analysis, machine learning models for music generation, and other… See the full description on the dataset page: https://huggingface.co/datasets/drengskapur/midi-classical-music.HR-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