datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DataFusionStream_702_6ULFusionX-Multimodal-Sample-Data-V3
FusionX Multimodal Sample Dataset (V3)
This repository contains a multimodal dataset capturing synchronized stereo vision, RGB, IMU, and tactile glove data across 11 distinct tasks. It is intended for research in multimodal perception, manipulation learning, and tactile-vision fusion.
Dataset Overview
Each task is captured with the following synchronized modalities:
Mono Stereo Vision — Left and right monochrome camera streams stored as raw .png files at 640×400… See the full description on the dataset page: https://huggingface.co/datasets/touchtronix/FusionX-Multimodal-Sample-Data-V3.datafusion_QA
DataFusion Ecosystem QA Dataset
Dataset Description
Overview
The DataFusion Ecosystem QA Dataset is a comprehensive collection of question-answer pairs covering various projects within the DataFusion ecosystem and related data processing technologies.
This dataset contains 265,180 QA pairs across 72 JSONL files, providing extensive coverage of code documentation, API usage, and implementation details for data processing tools and frameworks.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/yarenty/datafusion_QA.fusion-synth-data-geofactx
Offline Synthetic Data (GeoFactX) for: Making, not taking, the Best-of-N
Content
This data contains completions for the GeoFactX training split prompts from 5 different teacher models and 2 aggregations:
Teachers: We sample one completion from each of the following models at temperature T=0.3. For kimik2, qwen3, and deepseek-v3 we use TogetherAI, for gemma3-27b and command-a we use locally hosted images.
gemma3-27b: GEMMA3-27B-IT
kimik2: KIMI-K2-INSTRUCT
qwen3:… See the full description on the dataset page: https://huggingface.co/datasets/CohereLabs/fusion-synth-data-geofactx.fusion-synth-data-s1kx
Offline Synthetic Data (s1K-X) for: Making, not taking, the Best-of-N
Content
This data contains completions for the s1K-X training split prompts from 5 different teacher models and 2 aggregations:
Teachers: We sample one completion from each of the following models at temperature T=0.3. For kimik2, qwen3, and deepseek-v3 we use TogetherAI, for gemma3-27b and command-a we use locally hosted images.
gemma3-27b: GEMMA3-27B-IT
kimik2: KIMI-K2-INSTRUCT
qwen3: QWEN3-235B… See the full description on the dataset page: https://huggingface.co/datasets/CohereLabs/fusion-synth-data-s1kx.fusion-synth-data-ufb
Offline Synthetic Data (UFB) for: Making, not taking, the Best-of-N
Content
This data contains completions for a 10,000 subset of the UFB prompts (translated into 9 languages) from 5 different teacher models and 2 aggregations:
Teachers: We sample one completion from each of the following models at temperature T=0.3. For kimik2, qwen3, and deepseek-v3 we use TogetherAI, for gemma3-27b and command-a we use locally hosted images.
gemma3-27b: GEMMA3-27B-IT
kimik2:… See the full description on the dataset page: https://huggingface.co/datasets/CohereLabs/fusion-synth-data-ufb.FusionX-Multimodal-Sample-Data-V2
FusionX Multimodal Sample Dataset
This repository contains a multimodal dataset capturing synchronized vision and tactile glove data across distinct tasks.
Dataset Overview
RGB Video: 30 Hz 720p color stream (.mp4).
Depth Data: Lossless 16-bit depth stream (.mkv) and raw 16-bit PNG frames.
Mono Vision: Left and right monochrome camera views (raw PNG).
Tactile Data: Per-frame aligned glove sensor data stored in high-performance .parquet format.
Calibration: Intrinsic and… See the full description on the dataset page: https://huggingface.co/datasets/touchtronix/FusionX-Multimodal-Sample-Data-V2.fusion-t2i-generator-datasensor-fusion-data
Agriculture Sensor Fusion Data Notes
Dataset summary
A documented Agriculture data-preparation workflow for Sensor Fusion records. The bundled rows demonstrate the schema and validation path rather than pretending to be a full training corpus.
Included material
dataset.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.… See the full description on the dataset page: https://huggingface.co/datasets/zhenghuinim/sensor-fusion-data.datafusion-acs
Data Fusion: ACS Housing
A small, public-domain dataset for statistical data fusion: two surveys share a block of covariates, each measures a different block of outcomes, and no respondent answers both. The task is to fill in, for each respondent, the block their survey did not ask.
This is the ACS-housing task of Cross-Block Conditioning in Deep Boltzmann Machines for Statistical Data Fusion. It is meant to be picked up in a few minutes: load it, see what fusion data look like… See the full description on the dataset page: https://huggingface.co/datasets/jniimi/datafusion-acs.multimodal-fusion-remote-sensing-datasensor-fusion-data
Sound Events Sensor Fusion Data Notes
Dataset summary
This data card accompanies a lightweight Sound Events loader for Sensor Fusion metadata. It is meant for pipeline inspection, source adaptation, and reproducible split preparation.
Included material
load_data.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md… See the full description on the dataset page: https://huggingface.co/datasets/susharmapev/sensor-fusion-data.swe-marathon-datafusion-sample
DataFusion: Incremental Spilling FULL OUTER JOIN
A software-engineering benchmark sample focused on bounded-memory, spill-backed, incremental query execution in Apache DataFusion. The task combines asynchronous execution, exact join semantics, resource management, and compatibility with an existing database engine.
Status: locally validated. This is a SWE-Marathon-style sample, not an accepted official SWE-Marathon entry. Local technical checks do not establish compliance with… See the full description on the dataset page: https://huggingface.co/datasets/LianeMarilin/swe-marathon-datafusion-sample.sensor-fusion-data
Speech Sensor Fusion Data Notes
Dataset summary
A documented Speech data-preparation workflow for Sensor Fusion records. The bundled rows demonstrate the schema and validation path rather than pretending to be a full training corpus.
Included material
dataloader.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md… See the full description on the dataset page: https://huggingface.co/datasets/ChristopherOrivera/sensor-fusion-data.sensor-fusion-data
Robotics Sensor Fusion Data Notes
Dataset summary
A documented Robotics data-preparation workflow for Sensor Fusion records. The bundled rows demonstrate the schema and validation path rather than pretending to be a full training corpus.
Included material
loader.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md… See the full description on the dataset page: https://huggingface.co/datasets/anil-devi/sensor-fusion-data.sensor-fusion-data
Movie Posters Sensor Fusion Data Notes
Dataset summary
This repository contains a preparation pipeline and a small metadata sample for Movie Posters work with Sensor Fusion inputs. It does not claim to be a complete benchmark release; the loader documents how source data is normalized and validated.
Included material
loader.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl —… See the full description on the dataset page: https://huggingface.co/datasets/davido-koro96/sensor-fusion-data.sensor-fusion-data
Charts Sensor Fusion Data Notes
Dataset summary
This data card accompanies a lightweight Charts loader for Sensor Fusion metadata. It is meant for pipeline inspection, source adaptation, and reproducible split preparation.
Included material
dataset.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md — data card… See the full description on the dataset page: https://huggingface.co/datasets/yukicha4318nd/sensor-fusion-data.1.51-Million-Sets-of-Single-image-and-Multi-image-Fusion-Image-Editing-Data
Description
151만 그룹 규모의 단일 이미지 및 다중 이미지 융합 이미지 편집 데이터셋입니다. 편집 유형은 인물/객체 일관성 편집 50만 그룹, 구조 편집 30만 그룹, 혼합 편집 21만 그룹, 공간 편집 45만 그룹, 스타일 전환 편집 5만 그룹으로 구성됩니다. 편집 대상은 사람, 동물, 상품, 식물, 풍경 등 다양한 장면을 포함합니다. 어노테이션은 편집 지시에 따라 이미지에서 편집이 필요한 대상을 대상으로 수행되었습니다. 본 데이터셋은 이미지 합성, 데이터 증강, 가상 장면 생성 등의 작업에 활용할 수 있습니다.
자세한 내용은 아래 링크를 참고해 주세요: https://www.nexdata.ai/datasets/llm/2039?source=hf.kr
Specifications
Data size
151만 그룹
Target types
사람(클로즈업, 반신, 전신… See the full description on the dataset page: https://huggingface.co/datasets/Nexdata-kr/1.51-Million-Sets-of-Single-image-and-Multi-image-Fusion-Image-Editing-Data.sensor-fusion-data
Medical Sensor Fusion Data Notes
Dataset summary
Preparation notes and schema examples for Medical tasks using Sensor Fusion data. Full source material is intentionally not bundled, so provenance and licensing remain explicit.
Included material
preprocess.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md — data… See the full description on the dataset page: https://huggingface.co/datasets/Fedorko2/sensor-fusion-data.sensor-fusion-data
Education Sensor Fusion Data Notes
Dataset summary
Preparation notes and schema examples for Education tasks using Sensor Fusion data. Full source material is intentionally not bundled, so provenance and licensing remain explicit.
Included material
build_dataset.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md… See the full description on the dataset page: https://huggingface.co/datasets/katharinawolf/sensor-fusion-data.sensor-fusion-data
Charts Sensor Fusion Data Notes
Dataset summary
Preparation notes and schema examples for Charts tasks using Sensor Fusion data. Full source material is intentionally not bundled, so provenance and licensing remain explicit.
Included material
preprocess.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md — data… See the full description on the dataset page: https://huggingface.co/datasets/bbrouwerlucas/sensor-fusion-data.sensor-fusion-data
Legal Sensor Fusion Data Notes
Dataset summary
This data card accompanies a lightweight Legal loader for Sensor Fusion metadata. It is meant for pipeline inspection, source adaptation, and reproducible split preparation.
Included material
build_dataset.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md — data… See the full description on the dataset page: https://huggingface.co/datasets/ellietaylor/sensor-fusion-data.sensor-fusion-data
Code Sensor Fusion Data Notes
Dataset summary
This data card accompanies a lightweight Code loader for Sensor Fusion metadata. It is meant for pipeline inspection, source adaptation, and reproducible split preparation.
Included material
dataset.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md — data card and… See the full description on the dataset page: https://huggingface.co/datasets/seunghyunysy/sensor-fusion-data.autotrain-data-Nuclear_Fusion_Falcon
Dataset Card for "autotrain-data-Nuclear_Fusion_Falcon"
More Information needed
FusionX-Multimodal-Sample-Data
FusionX Multimodal Sample Dataset
This repository contains a sample multimodal dataset including:
RGB camera frames (30 Hz, JPG)
Depth images (16-bit PNG in millimeter)
Tactile glove data (aligned per-frame in Parquet)
Per-recording metadata
Structure
To reduce API rate limits and improve upload stability, each recording is stored as a ZIP archive:
Each ZIP file contains a single recording directory structured as follows:
recording_YYYYMMDD_HHMMSS/
├──… See the full description on the dataset page: https://huggingface.co/datasets/jren313/FusionX-Multimodal-Sample-Data.fusionkitchen-datadecoupage-administratif-regional-issu-de-geofla-issu-la-fusion-des-regions-de-2014
Découpage administratif régional issu de GeoFla®, issu la fusion des régions de 2014
[!NOTE]
Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données Découpage administratif régional issu de GeoFla®, issu la fusion des régions de 2014 qui est disponible à l'adresse https://www.data.gouv.fr/datasets/54ad3c47c751df3070de6536
Description
Couche SIG, au format SHP, représentant le nouveau découpage administratif régional… See the full description on the dataset page: https://huggingface.co/datasets/french-open-data/decoupage-administratif-regional-issu-de-geofla-issu-la-fusion-des-regions-de-2014.data_fusion_education_modernbertcommunes-nouvelles-et-fusions-2017
Communes nouvelles et fusions 2017
[!NOTE]
Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données Communes nouvelles et fusions 2017 qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5867a84dc751df68ca2b7154
Description
Ces données sont extraites automatiquement de l'article wikipédia répertoriant les fusions pour l'année 2017.
Le script de traitement est publié sur github et améliorable par tous.… See the full description on the dataset page: https://huggingface.co/datasets/french-open-data/communes-nouvelles-et-fusions-2017.glass-fusion-data