datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
calvin2lerobotV21_ABCD_D_scnetcalvin2lerobotV21_ABC_D_scnetSC-NV-MSC-NV-M-EESC-NeRF
SC-NeRF: NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications
📄 Paper Link
🧾 Overview
This dataset complements our paper on a stationary-camera-based NeRF framework for high-throughput 3D plant phenotyping. Traditional NeRF pipelines require a moving camera around a static object, which is impractical in automated indoor phenotyping environments. Our method enables 3D point cloud (PCD) reconstruction using a stationary… See the full description on the dataset page: https://huggingface.co/datasets/liss222433434/SC-NeRF.SC-NV-EE-NPZmetabolic-genes-hnscc-sCNVFlux-1-Scnell-enhancedcalvin2lerobotV21_debug_scnetSC-NeRF
SC-NeRF: NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications
📄 Paper Link
🧾 Overview
This dataset complements our paper on a stationary-camera-based NeRF framework for high-throughput 3D plant phenotyping. Traditional NeRF pipelines require a moving camera around a static object, which is impractical in automated indoor phenotyping environments. Our method enables 3D point cloud (PCD) reconstruction using a stationary camera and… See the full description on the dataset page: https://huggingface.co/datasets/BGLab/SC-NeRF.body_dataset_chandarana_scnqntSentence-Classification-and-NER-Mix-Datasets-SCNMThe dataset of SLG framework. The paper as the following:
https://link.springer.com/chapter/10.1007/978-3-031-35320-8_18
arxiv : https://arxiv.org/abs/2306.15978
Paper code is opensource in GitHub:
https://github.com/ganchengguang/SLG-framework
Cite BibTex:
@inproceedings{gan2023sentence,
title={Sentence-to-label generation framework for multi-task learning of japanese sentence classification and named entity recognition},
author={Gan, Chengguang and Zhang, Qinghao and Mori, Tatsunori}… See the full description on the dataset page: https://huggingface.co/datasets/ganchengguang/Sentence-Classification-and-NER-Mix-Datasets-SCNM.scns-dockerSC-NV-EEscnclab2023
Dataset Card for [scnclab2023]
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
The Dataset has been created using the GPT-3 API… See the full description on the dataset page: https://huggingface.co/datasets/relevanthint/scnclab2023.scns-forge
scns-forge feedstocks
前提条件
如果使用 centos-7 的docker或实体机作为构建环境，必须安装 Development Tools
组和 yum_requirements.txt 中的全部软件包。
如果使用 centos-7 的 docker 作为构建环境，还应当确保 LC_ALL 和 LANG 不能是中
文。设置为 en_US.utf8 更为保险。
使用以下命令即可完成前提条件1的安装：
$ yum -y groupinstall "Development Tools"
$ cat yum_requirements.txt | xargs -n 1 yum -y install
快速添加一个 feedstock
创建包数据库(只需要做一次，但要定期更新，保持和 conda-forge 同步)：./make_package_db.py
创建 feedstock: ./create_feedstock.py <PKG_NAME>
上述命令将在 recipes 目录中为… See the full description on the dataset page: https://huggingface.co/datasets/fsslc235/scns-forge.ny8_datasetMuCokMuCoK is a new multimodal dialogue dataset. This dataset includes a multimodal knowledge base and a multimodal dialogue context specifically focused on restaurant reservation.
If you find our dataset helpful, feel free to give us a cite.
Citation
BibTeX:
@inproceedings{dong2025mind,
title={MIND: A Unified Multi-Modal Context-Knowledge Model for Task-Oriented Dialogue},
author={Dong, Xuelian and Chen, Jiale and Wei, Chaoyu and Ke, Chehao and Hao, Tianyong},
booktitle={2025… See the full description on the dataset page: https://huggingface.co/datasets/SCNU1933/MuCok.Whisperbiomedica-cachetmp-scnc1dcFTPD-CLscnn-watermark-removal
scnn-watermark-removal dataset for classified house cleaning ads
name
tn
ts
val
size
scales*
augm**
release
test
1
77
1
69
4
yes
2024-12-01
v1
477
9048
50
7,575
?
no
2024-12-01
v2
48
2179
4
1,732
4
no
2024-12-01
v3
48
876
6
723
1
no
2024-12-01
* 1: [1]; 4: [1, 0.9, 0.8, 0.7]
** # of augmentations performed on each patch
Dataset Composition
Source Portals:
ME Medellín
MR Colombia
KM Germany
OL International
Exclusion Criteria:
Watermark… See the full description on the dataset page: https://huggingface.co/datasets/alecccdd/scnn-watermark-removal.CLFPCScnnuDTY