datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ManipDreamer3D_data
Dataset of paper ManipDreamer3D
This repository contains the dataset for the paper ManipDreamer3D : Synthesizing Plausible Robotic Manipulation Video with Occupancy-aware 3D Trajectory.
Data Structure
The dataset is organized as follows:
manipdreamer3d_data/
├── 000000/ # data processed from bridge-v1
├── 000000_v2/ # data processed from bridge-v2
│ ├── data.json # contains gripper state, camera params, etc.
│ ├── depth_0000.png… See the full description on the dataset page: https://huggingface.co/datasets/myendless/ManipDreamer3D_data.SpatialGen-Testset
SpatialGen Testset
This repository contains the test set for SPATIALGEN: Layout-guided 3D Indoor Scene Generation, a novel multi-view multi-modal diffusion model for generating realistic and semantically consistent 3D indoor scenes.
Project page | Paper | Code
We provide a test set of 48 preprocessed point clouds and their corresponding GT layouts, multi-view images are cropped from the high-resolution panoramic images.
Folder Structure
Outlines of the dataset files:… See the full description on the dataset page: https://huggingface.co/datasets/manycore-research/SpatialGen-Testset.synthetic-manuscript-generator
Synthetic Manuscript Generator
Synthetic Indic manuscript folios (paper + palm-leaf backgrounds) for OCR
training. Three scripts are produced as separate subsets/configs:
devanagari — 100 folios (85/10/5)
modi — 100 folios (85/10/5)
sharada — 100 folios (85/10/5)
Layout
Each subset is structured as a Hugging Face imagefolder:
<subset>/
train/
0000.png 0000.md metadata.jsonl
...
validation/
...
test/
...
metadata.jsonl rows look like:… See the full description on the dataset page: https://huggingface.co/datasets/Sampada22/synthetic-manuscript-generator.autoresearch-manim
Autoresearch Manim
Curated Manim code-generation examples exported from the autoresearch_manim_finetune pipeline.
Preview Gallery
Preview
Preview
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Machine learning: attention plus residual mixing
Physics: boundary layer flow near a surface
Biology: neuron structure and signal direction
Finance: compound growth over time
Economics: production frontier tradeoff
Neuroscience: action potential phases
Summary
Focus:… See the full description on the dataset page: https://huggingface.co/datasets/sebastianboehler/autoresearch-manim.Japanese_Mangamanga-colorization-mastermanifold-baseline-curated-v0
Curated Manifold Markets Subset
There has been substantial interest in using large language models to answer
forecasting competition questions like the ones found on Metaculus
or Manifold Markets. Metaculus's API is restricted
to teams that ask for permission to use it, but Manifold's API is openly available
under very liberal terms. This makes Manifold an appealing option for forecasting
model authors but for one problem: Manifold takes a libertarian approach to question
moderation… See the full description on the dataset page: https://huggingface.co/datasets/jdpressman/manifold-baseline-curated-v0.bandham-dataset-exploration
Bandham Dataset Exploration
Using the Dataset
Load the Dataset
from datasets import load_dataset
from huggingface_hub import hf_hub_download
from PIL import Image
# Download the dataset
ds = load_dataset("bandham-manikanta/bandham-dataset-exploration")
df = ds['train']
print(f"Dataset loaded with {len(df)} records")
Download Associated Figures
# To download and view an image for any row:row_index = 0 # Change this to any row index you want
#… See the full description on the dataset page: https://huggingface.co/datasets/bandham-manikanta/bandham-dataset-exploration.MANUS
MANUS Dataset Family
Multimodal Annotated Naturalistic Hand Understanding (MANUS) is a family of source-specific multimodal hand-understanding dataset releases for naturalistic hand analysis, hand-aware image generation, 2D/3D hand understanding, depth estimation, and multi-view hand representation learning.
MANUS does not use a single dataset-wide license. Each source-specific release is governed by its own upstream-compatible license. This landing repository indexes the available… See the full description on the dataset page: https://huggingface.co/datasets/QFun/MANUS.manikvai