datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
XVLA-Soft-Fold
Cloth-Folding Dataset for X-VLA Paper
This dataset contains 1,500 episodes of cloth folding, collected using Agilex's robotic arm. It was used in the X-VLA paper for cloth-folding tasks, showcasing a near-perfect success rate in folding accuracy.
Dataset Overview
Total Episodes: ～1,500
Task: Automated cloth folding
Robot: Agilex Aloha
Performance: Near 100% success rate in completing the folding task
Hardware setup
We observed that the camera setup of the… See the full description on the dataset page: https://huggingface.co/datasets/Facebear/XVLA-Soft-Fold.VoCdataset_vineyardLogits_softmax
Vineyard Logits Softmax Dataset 🍇
📌 Overview
The dataset_vineyardLogits_softmax dataset is a collection of logits and labels used for training and testing deep learning models in precision agriculture.
💡 Key Details:
Multi-class classification task with two classes.
Softmax activation function used to output probabilities.
Optimized for distinguishing vine plants from background elements.
This dataset provides valuable logits from models trained on vineyard… See the full description on the dataset page: https://huggingface.co/datasets/wilgomoreira/dataset_vineyardLogits_softmax.soft-trigger-verifiedsoftTissueTumorousLesions
AutoTrain Dataset for project: soft-tissue-tumor-species
Dataset Description
This dataset has been automatically processed by AutoTrain for project bone-tumor-species.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<512x512 RGB PIL image>",
"target": 16
},
{
"image": "<512x512 RGB PIL image>",
"target": 29
}]… See the full description on the dataset page: https://huggingface.co/datasets/itslogannye/softTissueTumorousLesions.wikimedia-common-audio-catalanThis is a collection of Catalan-language audio with free licenses extracted from Wikimedia Commons.
License identifiers are normalized to cc-zero, cc-by-4.0,
cc-by-sa-3.0, cc-by-sa-4.0, GFDL, and PD-self.
This provides a richer alternative to Common Voice.
Characteristics of the dataset:
One or multiple speakers
Different accents
Different domain texts
761 audio files
We found this dataset useful for audio tasks such as:
Language detection
Evaluation of STT systems
New candidates are… See the full description on the dataset page: https://huggingface.co/datasets/softcatala/wikimedia-common-audio-catalan.SoftVTBench
SoftVTBench
Visuo-tactile manipulation demonstrations for rigid and soft/deformable
LIBERO-style pick-and-place tasks, collected with a tactile-sensing Franka arm
in Isaac Lab (Tabero simulation stack).
Mirrored on both hubs:
Hugging Face — Arthur12137/SoftVTBench
ModelScope — Arthur12137/SoftVTBench
Earlier releases (evaluation USD assets and the first partial data drops) were
moved to Arthur12137/SoftVTBench-archive on both hubs.
Contents
Four subsets, each 10… See the full description on the dataset page: https://huggingface.co/datasets/Arthur12137/SoftVTBench.XVLA-Soft-Fold
Cloth-Folding Dataset for X-VLA Paper
This dataset contains 1,500 episodes of cloth folding, collected using Agilex's robotic arm. It was used in the X-VLA paper for cloth-folding tasks, showcasing a near-perfect success rate in folding accuracy.
Dataset Overview
Total Episodes: ～1,500
Task: Automated cloth folding
Robot: Agilex Aloha
Performance: Near 100% success rate in completing the folding task
Hardware setup
We observed that the camera… See the full description on the dataset page: https://huggingface.co/datasets/gop0429/XVLA-Soft-Fold.Soft-tissue-Sarcoma
Soft-tissue-Sarcoma (STS)
A TCIA collection of 51 patients with histologically proven soft-tissue sarcoma
of the extremities, each imaged with joint pre-treatment FDG-PET/CT and MRI
and contoured by an expert radiation oncologist. Collected at McGill University
Health Centre (Montreal) and published with Vallières et al., Phys Med Biol 2015.
The original study built a radiomics model predicting lung metastases from
joint PET/MRI texture features; 19 of the 51 patients developed… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/Soft-tissue-Sarcoma.harmless_alpaca_jaJapanese auto-translation of mlabonne/harmless_alpacausing llmfan46/gemma-4-31B-it-qat-q4_0-uncensored-heretic-NVFP4-GGUF
SoftDis
SoftDis dataset
SoftDis is a dataset for the exploration of disordered regions in
protein structures, and their relations with interacting sites.
The concept of soft disorder was introduced in (Seoane and Carbone, 2021),
as a general term for regions in a protein identified as flexible
(characterized by high B-factor) or intermittently missing across different
X-ray crystal structures of the same sequence. The definition is derived from
an extensive analysis of clusters of… See the full description on the dataset page: https://huggingface.co/datasets/CQSB/SoftDis.CMPR_LTS_SOFT_TOME_ADJ_CTDHarmful-Harmless-100Pairs-JA-HighIntensity
Harmful-Harmless-100Pairs-JA-HighIntensity
This is a small-scale dataset consisting of 100 pairs of high-intensity Harmful / Harmless contrastive data written in Japanese.
⚠️ Important Notice
This dataset intentionally contains harmful, explicit, offensive, disturbing, biased, or otherwise inappropriate content for research and evaluation purposes. Some entries may describe dangerous, illegal, abusive, or unethical activities in substantial detail.
The inclusion… See the full description on the dataset page: https://huggingface.co/datasets/OS-Software/Harmful-Harmless-100Pairs-JA-HighIntensity.xvla-soft-foldThis dataset was created using LeRobot.
Dataset Description
Repository: X-VLA
License: Apache 2.0
Paper: Zheng et al., 2025, “X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model” (arXiv:2510.10274)
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "franka",
"total_episodes": 1542,
"total_frames": 2852512,
"total_tasks": 1,
"chunks_size": 1000… See the full description on the dataset page: https://huggingface.co/datasets/lerobot/xvla-soft-fold.chess-soft-sf19
avewright/chess-soft-sf19
Official Stockfish 19 MultiPV soft targets. This release supersedes the 25k
pilot. It is not a filter of chess-soft-multipv-lichess or
chess-soft-100m-disagreements.
2,010,006 rows. Source id 4. Vocab compact (1968).
Mix (as generated)
origin
rows
note
self-play (origin=1)
0
SF19 vs SF19, ε=0.20, book + 4 random legal
relabel (origin=0)
0
existing local boards, new SF19 labels
frozen eval
10,000
split=1 in… See the full description on the dataset page: https://huggingface.co/datasets/avewright/chess-soft-sf19.Python-Code-Solutions
Python Code Solutions
Features
1000k of Python Code Solutions for Text Generation and Question Answering
Python Coding Problems labelled by topic and difficulty
Recommendations
Train your Model on Logical Operations and Mathematical Problems Before Training it on this. This is optional for Fine Tuning 2B parameter + models.
Format the prompts in a orderly way when formatting data eg. {question} Solution: {solution} Topic: {topic}
training-embeddingsCMPR_LTS_SOFT_TOME_ADJsoft-prompt-experiments-archive-20260918
Soft prompt 实验归档
用于查阅和恢复的历史研究记录，涵盖数学与代码任务。共 45 个运行目录，包含教师生成数据、评测输出、原始配置和已有 prompt 检查点。部分目录仅有评测、复核或失败记录，不能将目录数量理解为成功实验数量。
快速查阅
实验总览：模型系列、任务、规模与记录状态。
CSV 索引 / JSON 索引：便于筛选和定位。
archives/：按实验分别压缩的原始文件。
manifests/：各文件 SHA-256 与归档路径。
系列包括 AReaL Boba2、GPT-OSS/Swallow、MiMo、X-Coder/Qwen3、Nemotron、Klear、Mellum2、OLMo3、Polaris 和 Poro2。页面不展开具体方法或实现细节；原始配置仍保留在归档内供恢复。
状态与注意事项
上传完成以 ARCHIVE_COMPLETE.json 为准；文件不存在时表示仍在上传。 每个归档都经过完整下载的 SHA-256 校验。… See the full description on the dataset page: https://huggingface.co/datasets/namezz/soft-prompt-experiments-archive-20260918.Software-ArchitectureSoftware-Architecture
I am releasing a Large Dataset covering topics related to Software-Architecture.
This dataset consists of around 450,000 lines of data in jsonl.
I have included following topics:
Architectural Frameworks
Architectural Patterns for Reliability
Architectural Patterns for Scalability
Architectural Patterns
Architectural Quality Attributes
Architectural Testing
Architectural Views
Architectural Decision-Making
Advanced Research
Cloud-Based Architectures
Component-Based… See the full description on the dataset page: https://huggingface.co/datasets/ajibawa-2023/Software-Architecture.soft_bag_zipping
soft_bag_zipping
Deformable-object manipulation: unzip a soft bag, insert pens one at a time, then zip the bag closed.
Real-robot bimanual manipulation data collected on a YAM arm pair, released as part
of the Flex-π project. Stored in LeRobot v2.1 format with synchronized RGB and
metric depth from three cameras.
At a glance
Episodes
534
Frames
1,047,427
Duration
~9.7 h @ 30 fps
Tasks
1
Robot
yam (bimanual)
Cameras
cam_high, cam_left_wrist… See the full description on the dataset page: https://huggingface.co/datasets/flex-pi/soft_bag_zipping.qwen-code-soft-logitsSoftVTBench-archive
SoftVTBench — archive
Frozen snapshot of everything that lived in Arthur12137/SoftVTBench before the
2026-08-13 re-release: the evaluation USD assets, the soft-body assets, and the
first partial data drops.
This repo is not maintained. The current dataset is at
Arthur12137/SoftVTBench.
Contents: eval-assets/, soft-assets/, object-rigid/, object-soft/,
spatial-rigid/, spatial-soft/ (9319 files, 2.3 GB).
Original dataset card (kept verbatim)
SoftVTBench dataset… See the full description on the dataset page: https://huggingface.co/datasets/Arthur12137/SoftVTBench-archive.software_requirementsSoftware-Engineering-Dataset_90_10stockfish-19-soft-targets
avewright/stockfish-19-soft-targets
Official Stockfish 19 MultiPV soft targets, mined from the Lichess ECO
opening set. In-progress snapshot toward 1M unique positions.
600,000 rows in this upload. Source id 4. Vocab compact (1968).
How positions are chosen
Games start from the Lichess Chess Openings dataset
(lichess-org/chess-openings): 3,810 named
leaves (HF card still lists 3,704) plus
book prefixes, 7,852 unique starts.
ECO volumes: A 817 / B 772 /
C 1,250 / D… See the full description on the dataset page: https://huggingface.co/datasets/avewright/stockfish-19-soft-targets.arxiv-softwares-2021lerobot-xvla-soft-fold
LeRobot X-VLA Soft-Fold (Lance Format)
A Lance-formatted version of lerobot/xvla-soft-fold — a multi-camera robotics dataset from the X-VLA project — packaged as three Lance tables for efficient frame-level training, episode-level trajectory loading, and direct access to the original encoded videos. Available directly from the Hub at hf://datasets/lance-format/lerobot-xvla-soft-fold/data.
1,542 episodes
2,852,512 frames at 20 FPS
3 camera streams per episode — cam_high… See the full description on the dataset page: https://huggingface.co/datasets/lance-format/lerobot-xvla-soft-fold.software_slackssoft_orangeThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "soft",
"total_episodes": 50,
"total_frames": 8002,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 5,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/HCSuMoss/soft_orange.