datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
data_4
SpatialEncoder WDS release (in progress)
This repository contains a partition of spatialencoder-wds-native-v1, released
as uncompressed WebDataset tar shards, normally about 1 GiB. All five
repositories are parts of the same release; consult each manifest.json.
The manifest lists only uploaded shards whose remote size and SHA-256 have
been verified. An incomplete manifest is not a complete dataset.
New uploads use bucketed paths such as… See the full description on the dataset page: https://huggingface.co/datasets/xxxspatialencoderwds4/data_4.soma-competition-datasetdata_3
SpatialEncoder WDS release (in progress)
This repository contains a partition of spatialencoder-wds-native-v1, released
as uncompressed WebDataset tar shards, normally about 1 GiB. All five
repositories are parts of the same release; consult each manifest.json.
The manifest lists only uploaded shards whose remote size and SHA-256 have
been verified. An incomplete manifest is not a complete dataset.
New uploads use bucketed paths such as… See the full description on the dataset page: https://huggingface.co/datasets/xxxspatialencoderwds3/data_3.data_2
SpatialEncoder WDS release (in progress)
This repository contains a partition of spatialencoder-wds-native-v1, released
as uncompressed WebDataset tar shards, normally about 1 GiB. All five
repositories are parts of the same release; consult each manifest.json.
The manifest lists only uploaded shards whose remote size and SHA-256 have
been verified. An incomplete manifest is not a complete dataset.
New uploads use bucketed paths such as… See the full description on the dataset page: https://huggingface.co/datasets/xxxspatialencoderwds2/data_2.data_1
SpatialEncoder WDS release (in progress)
This repository contains a partition of spatialencoder-wds-native-v1, released
as uncompressed WebDataset tar shards, normally about 1 GiB. All five
repositories are parts of the same release; consult each manifest.json.
The manifest lists only uploaded shards whose remote size and SHA-256 have
been verified. An incomplete manifest is not a complete dataset.
New uploads use bucketed paths such as… See the full description on the dataset page: https://huggingface.co/datasets/xxxspatialencoderwds1/data_1.daily-papers-stats
Daily Papers Stats
Upvote and comment counts for every paper in hysts-bot-data/daily-papers. Join the two on arxiv_id.
data.json has arxiv_id, upvotes and num_comments, and only holds the values at the time it was last updated. It is overwritten roughly every hour, so past values are available from the commit history (from 2024-03-12 on, with some gaps). Early revisions do not have num_comments.
License
CC0 1.0.
car-bench-dataset
CAR-Bench Dataset
CAR-Bench is a benchmark for evaluating AI voice assistants in a realistic automotive (car) environment.
It tests an agent's ability to correctly use vehicle control tools, handle disambiguation, and avoid hallucinations.
Dataset Structure
The dataset is organized into task configs and mock data configs:
Tasks
Each task defines a user persona, an instruction, the initial vehicle/environment context, and the ground-truth sequence of tool-call… See the full description on the dataset page: https://huggingface.co/datasets/johanneskirmayr/car-bench-dataset.nuclear-intelligence-dataset
Nuclear Intelligence Dataset
Public, auto-generated dataset of validated nuclear-energy research cycles.
Latest stats (auto-updated):
🪙 NES tokens minted: 0
⛓️ Blockchain length: 1 blocks
🕸️ Knowledge entities: 2
Source
GitHub: https://github.com/QalamHipHop/nuclear-intelligence
HF Space: https://huggingface.co/spaces/Qalam/Nuclear-Intelligence
License
MIT
officeqa-checkpoint-eval-data
Checkpoint evaluation plot data
Snapshot: 2026-09-14T16:26:45.684890+00:00. Aggregate inputs to notes/Sept-2-2026.md performance figures.
No model execution, grading, publication, or source-result changes were performed to make this export.
Contents
checkpoint_evaluations: 454 checkpoint rows, one evaluation per run/iteration/protocol; score, mean output tokens, mean steps, and the existing two-sided 95% confidence bounds.
pareto_points: current mean-token/USD… See the full description on the dataset page: https://huggingface.co/datasets/YWZBrandon/officeqa-checkpoint-eval-data.document-review-data
Document Review Data
Private dataset for the Office/PDF title extraction review app and the current extractive title-training data package.
Current Title Extraction Dataset Surface
Canonical prefix:
datasets/title_extraction/
Effective datasets:
datasets/title_extraction/training/source4k_device_qwen_fp1000_v1/
datasets/title_extraction/evaluation/real_device_280_v1/
datasets/title_extraction/synthetic/controlled_synthetic_parse_v1/
The Dataset Viewer is… See the full description on the dataset page: https://huggingface.co/datasets/mannycooper/document-review-data.ine-catalog
INE
Este repositorio contiene todas las tablas¹ del Instituto Nacional de Estadística exportadas a ficheros Parquet.
Puedes encontrar cualquiera de las tablas o sus metadatos en la carpeta tablas.
Cada tabla está identificado un una ID. Puedes encontrar la ID de la tabla tanto en el INE (es el número que aparece en la URL) or en el archivo tablas.jsonl de este repositorio que puedes explorar en el Data Viewer.
Por ejemplo, la tabla de Índices nacionales de clases se corresponde… See the full description on the dataset page: https://huggingface.co/datasets/datania/ine-catalog.xauusd-gold-price-historical-data-2004-2025
XAUUSD Gold Price Historical Data 2004-2025
This dataset contains historical price data for XAUUSD (Gold vs US Dollar) from 2004 to 2025.
Source: Kaggle dataset "novandraanugrah/xauusd-gold-price-historical-data-2004-2024"
Content:
The dataset includes CSV files with different time granularities (e.g., 1 minute, 5 minutes, 1 hour, 1 day). Each file typically contains the following columns:
Date
Open
High
Low
Close
Volume
Usage:
This dataset can be used for analyzing historical… See the full description on the dataset page: https://huggingface.co/datasets/ZombitX64/xauusd-gold-price-historical-data-2004-2025.Lattice_4D_Dataset
Lattice_4D_Dataset
Multi-camera volumetric captures of people doing everyday tasks (ball
handling, shirt folding). Four RGB-D cameras record each take. Each take has
the reconstructed 3-D scene of every frame and the fitted body and hands. It
also has calibration, camera poses, action labels over frame spans, reviewed
language and rendered orbit videos. A USD skeleton and a URDF rig let a
robotics consumer load the body.
Ball handling: the person drops the ball to bounce off the… See the full description on the dataset page: https://huggingface.co/datasets/latticecx/Lattice_4D_Dataset.Temporal-Logic-Video-Dataset
Temporal Logic Video (TLV) Dataset
Temporal Logic Video (TLV) Dataset
Synthetic and real video dataset with temporal logic annotation
Explore the GitHub »
NSVS-TL Project Webpage
·
NSVS-TL Source Code
Overview
The Temporal Logic Video (TLV) Dataset addresses the scarcity of state-of-the-art video datasets for long-horizon, temporally extended activity and object detection. It comprises two main components:
Synthetic… See the full description on the dataset page: https://huggingface.co/datasets/minkyuchoi/Temporal-Logic-Video-Dataset.imagenet_hard_review_data_r2trading-databcb_dataDataSpace
DataSpace
Paper ·
Code ·
Leaderboard ·
KDD Cup 2026
DataSpace is a benchmark for data agents that perform verifiable analytics over
heterogeneous, task-local workspaces. Each task provides a natural-language
question and a workspace containing a combination of CSV, JSON, SQLite,
Markdown, PDF, and video artifacts. The required output is a complete tabular
result.
DataSpace is also the official benchmark of the
KDD Cup 2026 Data Agent Track.
Release policy
This… See the full description on the dataset page: https://huggingface.co/datasets/HKUSTDial/DataSpace.SEED-Data-Edit-Part1-Openimages
SEED-Data-Edit
SEED-Data-Edit is a hybrid dataset for instruction-guided image editing with a total of 3.7 image editing pairs, which comprises three distinct types of data:
Part-1: Large-scale high-quality editing data produced by automated pipelines (3.5M editing pairs).
Part-2: Real-world scenario data collected from the internet (52K editing pairs).
Part-3: High-precision multi-turn editing data annotated by humans (95K editing pairs, 21K multi-turn rounds with a maximum of 5… See the full description on the dataset page: https://huggingface.co/datasets/AILab-CVC/SEED-Data-Edit-Part1-Openimages.Chinese-DeepSeek-R1-Distill-data-110k
中文基于满血DeepSeek-R1蒸馏数据集（Chinese-Data-Distill-From-R1）
🤗 Hugging Face | 🤖 ModelScope | 🚀 Github | 📑 Blog
注意：提供了直接SFT使用的版本，点击下载。将数据中的思考和答案整合成output字段，大部分SFT代码框架均可直接直接加载训练。
本数据集为中文开源蒸馏满血R1的数据集，数据集中不仅包含math数据，还包括大量的通用类型数据，总数量为110K。
为什么开源这个数据？
R1的效果十分强大，并且基于R1蒸馏数据SFT的小模型也展现出了强大的效果，但检索发现，大部分开源的R1蒸馏数据集均为英文数据集。 同时，R1的报告中展示，蒸馏模型中同时也使用了部分通用场景数据集。
为了帮助大家更好地复现R1蒸馏模型的效果，特此开源中文数据集。
该中文数据集中的数据分布如下：… See the full description on the dataset page: https://huggingface.co/datasets/Congliu/Chinese-DeepSeek-R1-Distill-data-110k.agent-apprenticeship-seed-dataset
Agent Apprenticeship Seed Dataset
The living ecosystem where AI agents run automated workflow loops on any task, improve through execution, and turn each run into reusable work experience + data to improve future agents.
As agents move into long-horizon, economically valuable work, Agent Apprenticeship creates the open infrastructure where real-world tasks generate reusable learning signals and complex workflows advance through agent loops that turn execution into shared… See the full description on the dataset page: https://huggingface.co/datasets/rayrren/agent-apprenticeship-seed-dataset.Nemotron-Cascade-2-RL-data
Dataset Description:
The Nemotron-Cascade-2-RL dataset is a curated reinforcement learning (RL) dataset blend used to train Nemotron-Cascade-2-30B-A3B model. It includes instruction-following RL, multi-domain RL, on-policy distillation, and software engineering RL (SWE-RL) data.
This dataset is ready for commercial use.
The dataset contains the following subset:
IF-RL
Contains 45,879 training samples for instruction-following RL. Our curation process mainly… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Cascade-2-RL-data.DataScience-Instruct-500K
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
Authors: Shaolei Zhang, Ju Fan*, Meihao Fan, Guoliang Li, Xiaoyong Du
DeepAnalyze is the first agentic LLM for autonomous data science. It can autonomously complete a wide range of data-centric tasks without human intervention, supporting:
🛠 Entire data science pipeline: Automatically perform any data science tasks such as data preparation, analysis, modeling, visualization, and report generation.
🔍… See the full description on the dataset page: https://huggingface.co/datasets/RUC-DataLab/DataScience-Instruct-500K.FM4PDE-pde-data
FM4PDE PDE Data
Datasets for Guided Flow Matching for Forward and Inverse PDE Problems with Sparse Observations: Algorithm and Theory, by Xifeng Zhang and Jin Zhao. The data cover eleven PDE families and are used to train and evaluate FM4PDE for forward and inverse problems with sparse observations.
Paper on arXiv · FM4PDE on GitHub · Pretrained models
Dataset overview
All 89 files are available. The dataset contains 55 training files, 29 test files, and 5… See the full description on the dataset page: https://huggingface.co/datasets/XifengZhang/FM4PDE-pde-data.rlbenchfail_test_dataset
Guardian: RLBench-Fail Dataset
This dataset is part of the Guardian project: Detecting Robotic Planning and Execution Errors with Vision-Language Models. It contains annotated robotic manipulation failure data generated in the RLBench simulator for training and evaluating Vision-Language Models (VLMs) on failure detection tasks.
Failures are produced by an automated pipeline that procedurally perturbs successful scripted trajectories in simulation, generating diverse planning… See the full description on the dataset page: https://huggingface.co/datasets/paulpacaud/rlbenchfail_test_dataset.pldr-llm-training-dynamics-data
PLDR-LLM Training Dynamics Data
Reported numerical evidence for Training and Inference Dynamics of PLDR-LLMs:
Row-Map Collapse, Renormalization, and Predictive Reduction, by Burc Gokden.
Monograph: Hugging Face Paper Page.
Scientific code and readers: GitHub repository.
Numerical evidence: Hugging Face dataset.
Book: Power Law Graph Attention and PLDR-LLMs: Mathematical Foundations, Training Dynamics, and Predictive Inference, by Burc Gokden.
Book Companion: Code and edition… See the full description on the dataset page: https://huggingface.co/datasets/fromthesky/pldr-llm-training-dynamics-data.a_datarlbenchfail_train_dataset
Guardian: RLBench-Fail Dataset
This dataset is part of the Guardian project: Detecting Robotic Planning and Execution Errors with Vision-Language Models. It contains annotated robotic manipulation failure data generated in the RLBench simulator for training and evaluating Vision-Language Models (VLMs) on failure detection tasks.
Failures are produced by an automated pipeline that procedurally perturbs successful scripted trajectories in simulation, generating diverse planning… See the full description on the dataset page: https://huggingface.co/datasets/paulpacaud/rlbenchfail_train_dataset.repro-organic-data-72BElastic-Forcing-training-dataset
Elastic-Forcing training datasets
wan-1.3B-dataset/: 8,682 original videos and paired captions used by experiment 10351.
Each dataset folder contains its own videos, caption metadata, training manifest, and provenance. Original training data are kept separate across model scales.
wan-14B-dataset/: 5,546 retained videos and paired captions from the 14B step80 training dataset (originally 8,000; 2,454 subsequently removed and excluded).