datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SPRING_INX_R1CIVQA-TesseractOCR-LayoutLM
CIVQA TesseractOCR LayoutLM Dataset
The Czech Invoice Visual Question Answering dataset was created with Tesseract OCR and encoded for the LayoutLM.
The pre-encoded dataset can be found on this link: https://huggingface.co/datasets/fimu-docproc-research/CIVQA-TesseractOCR
All invoices used in this dataset were obtained from public sources. Over these invoices, we were focusing on 15 different entities, which are crucial for processing the invoices.
Invoice number
Variable… See the full description on the dataset page: https://huggingface.co/datasets/SpringRollMonster/CIVQA-TesseractOCR-LayoutLM.so101_spring_stacking_50This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 15,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/clejdan/so101_spring_stacking_50.nemotron-personas-korea-augmented
Nemotron-Personas-Korea — Augmented for Korean Policy Simulation
한국 정책·여론 시뮬레이션을 위해 증강한 한국인 합성 페르소나 1,000,000명 —
NVIDIA Nemotron-Personas-Korea(CC BY 4.0)의 파생(augmented) 데이터셋입니다.
⚠️ 본 데이터는 완전 합성(fully synthetic) 입니다. 실제 개인이 아니며 개인정보를 포함하지 않습니다.
왜 증강했나 (Motivation)
NVIDIA Nemotron-Personas-Korea는 한국 인구 구조를 반영한 대규모(100만) 고품질 합성 페르소나로,
인구통계·직업·성격·서사를 두루 갖춘 훌륭한 범용 기반입니다. 본 데이터셋은 그 위에서 출발했습니다.
다만 저희의 용도는 정책·여론 시뮬레이션이라는 특수한 도메인이었고, 범용 페르소나가 목표하지 않았던
몇 가지가 추가로 필요했습니다:… See the full description on the dataset page: https://huggingface.co/datasets/springwindteam/nemotron-personas-korea-augmented.aloha_sim_transfer_cube_humanThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "aloha",
"total_episodes": 50,
"total_frames": 20000,
"total_tasks": 1,
"total_videos": 50,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"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/SpringOrchid/aloha_sim_transfer_cube_human.spring_ml_conversationtowel_spring26_precalibrationThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "bi_yams_follower",
"total_episodes": 9,
"total_frames": 21720,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 50,
"splits": {
"train": "0:9"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ETHRC/towel_spring26_precalibration.cs6613-ai-spring26-assn2-retrieval-results
NYU CS-GY 6613 Spring 2026 - Ultralytics YOLO26 Model Car Parts Time Segment Retrieval
Author: Mariia Onokhina (mo2851)
This dataset contains image-to-video retrieval results for car parts from a 2026 Toyota RAV Review video using detections produced by a Ultralytics YOLO26 model trained on the car parts segmentation dataset.
The retrieval identifies timestamps in the video where the objects detected in a query image (from… See the full description on the dataset page: https://huggingface.co/datasets/mariiaonokhina/cs6613-ai-spring26-assn2-retrieval-results.spring-codegen-v2mass_spring_dampercs6613-ai-spring26-assn2-detections
NYU CS-GY 6613 Spring 2026 - Ultralytics YOLO26 Model Car Parts Video Detection
Author: Mariia Onokhina (mo2851)
This dataset contains detected car parts from a 2026 Toyota RAV Review video using a Ultralytics YOLO26 model trained on the car parts segmentation dataset.
The inference confidence threshold: 0.3.
Source Video
www.youtube.com/watch?v=YcvECxtXoxQ
The video was downloaded at 1080p resolution and sampled at 1 frame per second to create a sequence of… See the full description on the dataset page: https://huggingface.co/datasets/mariiaonokhina/cs6613-ai-spring26-assn2-detections.africa-owid-spring-temperature-anomalies
Spring Temperature Anomalies | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: parquet - Sector: other_unclassified - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-spring-temperature-anomalies.pusht_rotateSpringerSSATIndicTTS-English-SpringLabcs6613-ai-spring26-assn3-drone-detections
CS-GY 6613 Spring 2026 - UAV Drone Detection and Tracking
by Mariia Onokhina (mo2851)
Note: These detections are before the Kalman filter was applied, so there is some noise (occasionally birds, dark clouds, and planes are detected to be drones).
GitHub Repository:
https://github.com/mariiaonokhina/eng-ai-agents
Output tracking video 1
Click the image below or go to https://www.youtube.com/watch?v=kj3tEL5edXM
Output tracking video 2… See the full description on the dataset page: https://huggingface.co/datasets/mariiaonokhina/cs6613-ai-spring26-assn3-drone-detections.spring_ml_conversation