datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CADBench-Extended-Multimodal-Dataset
Dataset Card
Dataset Description
CADBench Extended Multimodal Dataset is an independently produced public extension for multimodal CAD reconstruction research. It contains 100 CAD samples with clean and perturbed meshes, STEP/STL/OBJ/GLB representations, single-view and four-view renders, PBR images, bilingual descriptions, prompt variants, QA, geometry metadata, grading signals, and manually reviewed visual semantics.
Tasks: image-to-text, text-to-image… See the full description on the dataset page: https://huggingface.co/datasets/LianeMarilin/CADBench-Extended-Multimodal-Dataset.Medical_Multimodal_Evaluation_Data
Evaluation Guide
This dataset is used to evaluate medical multimodal LLMs, as used in HuatuoGPT-Vision. It includes benchmarks such as VQA-RAD, SLAKE, PathVQA, PMC-VQA, OmniMedVQA, and MMMU-Medical-Tracks.
To get started:
Download the dataset and extract the images.zip file.
Find evaluation code on our GitHub: HuatuoGPT-Vision.
This open-source release aims to simplify the evaluation of medical multimodal capabilities in large models. Please cite the relevant benchmark… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/Medical_Multimodal_Evaluation_Data.multimodal-document-retrieval-20260911-dataset
Multimodal Document Retrieval Baseline Synthetic Dataset
Summary
This dataset contains 14 training examples and 4
held-out examples for Business documents contain meaning in text, tables, layout, and imagery that text-only retrieval can miss.
Every record is synthetic and includes:
input: query, event, or feature description
label: expected class, route, relation, or evidence category
context: synthetic supporting context
source: fictional source identifier… See the full description on the dataset page: https://huggingface.co/datasets/RKB109/multimodal-document-retrieval-20260911-dataset.multimodal-document-retrieval-20260901-dataset
Multimodal Document Retrieval Baseline Synthetic Dataset
Summary
This dataset contains 14 training examples and 4
held-out examples for Business documents contain meaning in text, tables, layout, and imagery that text-only retrieval can miss.
Every record is synthetic and includes:
input: query, event, or feature description
label: expected class, route, relation, or evidence category
context: synthetic supporting context
source: fictional source identifier… See the full description on the dataset page: https://huggingface.co/datasets/RKB109/multimodal-document-retrieval-20260901-dataset.multimodal-document-retrieval-20260921-dataset
Multimodal Document Retrieval Baseline Synthetic Dataset
Summary
This dataset contains 14 training examples and 4
held-out examples for Business documents contain meaning in text, tables, layout, and imagery that text-only retrieval can miss.
Every record is synthetic and includes:
input: query, event, or feature description
label: expected class, route, relation, or evidence category
context: synthetic supporting context
source: fictional source identifier… See the full description on the dataset page: https://huggingface.co/datasets/RKB109/multimodal-document-retrieval-20260921-dataset.multimodal-document-retrieval-20260812-dataset
Multimodal Document Retrieval Baseline Synthetic Dataset
Summary
This dataset contains 14 training examples and 4
held-out examples for Business documents contain meaning in text, tables, layout, and imagery that text-only retrieval can miss.
Every record is synthetic and includes:
input: query, event, or feature description
label: expected class, route, relation, or evidence category
context: synthetic supporting context
source: fictional source identifier… See the full description on the dataset page: https://huggingface.co/datasets/RKB109/multimodal-document-retrieval-20260812-dataset.multimodal-document-retrieval-20260822-dataset
Multimodal Document Retrieval Baseline Synthetic Dataset
Summary
This dataset contains 14 training examples and 4
held-out examples for Business documents contain meaning in text, tables, layout, and imagery that text-only retrieval can miss.
Every record is synthetic and includes:
input: query, event, or feature description
label: expected class, route, relation, or evidence category
context: synthetic supporting context
source: fictional source identifier… See the full description on the dataset page: https://huggingface.co/datasets/RKB109/multimodal-document-retrieval-20260822-dataset.multimodal-document-retrieval-20260802-dataset
Multimodal Document Retrieval Baseline Synthetic Dataset
Summary
This dataset contains 14 training examples and 4
held-out examples for Business documents contain meaning in text, tables, layout, and imagery that text-only retrieval can miss.
Every record is synthetic and includes:
input: query, event, or feature description
label: expected class, route, relation, or evidence category
context: synthetic supporting context
source: fictional source identifier… See the full description on the dataset page: https://huggingface.co/datasets/RKB109/multimodal-document-retrieval-20260802-dataset.multimodal-document-retrieval-20260723-dataset
Multimodal Document Retrieval Baseline Synthetic Dataset
Summary
This dataset contains 14 training examples and 4
held-out examples for Business documents contain meaning in text, tables, layout, and imagery that text-only retrieval can miss.
Every record is synthetic and includes:
input: query, event, or feature description
label: expected class, route, relation, or evidence category
context: synthetic supporting context
source: fictional source identifier… See the full description on the dataset page: https://huggingface.co/datasets/RKB109/multimodal-document-retrieval-20260723-dataset.multimodal-test-datahan-multimodal-context-fusion-dataset-v1
Humanoid Multi-Modal Context Fusion Dataset
This dataset captures fused environmental signals
from multiple sensory channels
across humanoid agents.
It includes visual context tags,
audio event signatures,
proximity readings,
and semantic environment labels.
Objective
To support context-aware intelligence
through multi-modal signal integration.
Data Fields
node_id
visual_context_vector
audio_signature_hash
proximity_reading
semantic_environment_label… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-multimodal-context-fusion-dataset-v1.CrossOIE-Datasetdata_multimodal