data fusion
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.