datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
EMID-Emotion-Matching
EMID-Emotion-Matching
orrzohar/EMID-Emotion-Matching is a derived dataset built on top of
the Emotionally paired Music and Image Dataset (EMID) from ECNU (ecnu-aigc/EMID).
It is designed for music ↔ image emotion matching with Qwen-Omni–style models.
Each example contains:
audio: mono waveform stored as datasets.Audio (HF Hub preview can play it)
sampling_rate: sampling rate used when decoding (typically 16 kHz)
image: a single image (datasets.Image)
same: bool, whether the audio… See the full description on the dataset page: https://huggingface.co/datasets/orrzohar/EMID-Emotion-Matching.GLAMI-Entity-Matching-Dataset
GLAMI Duplication Detection
Product-duplicate detection over GLAMI e-commerce listings: ~1.3M product
images plus multilingual titles, descriptions and attributes, with labelled
groups of items that do or do not refer to the same physical product.
Released under the Apache License 2.0 — see LICENSE.
TODO: describe how the labels were produced.
Structure
Config
Files
Contents
images
images/shard-*.parquet
itemId → image bytes, one row per product image… See the full description on the dataset page: https://huggingface.co/datasets/zidcenek/GLAMI-Entity-Matching-Dataset.abo-matching
ABO subset — product matching (teaching)
Subset of Amazon Berkeley Objects
(CC BY 4.0), repackaged for a practical on vision-language product matching:
« are these two listings the same product? »
⚠️ Positive pairs are simulated. ABO has no cross-seller duplicates, so a
positive pair is two catalog views of the same listing. Real marketplace
duplicates are two different sellers photographing the same object — harder, and
what the industrial pipeline (embedding for recall… See the full description on the dataset page: https://huggingface.co/datasets/bpiwowar/abo-matching.2026-24679-fastener-matching
24-679 (Fall 2026): Fastener Matching — Bolt-and-Nut Compatibility
shanexf/2026-24679-fastener-matching
Photographs of bolt-and-nut pairs for a binary image classifier that predicts whether the two fasteners
are compatible. Every photo shows exactly one bolt and one nut side by side. Matching and mismatching
pairs were photographed under different orientations, positions, lighting conditions, and viewing angles.
Source and task
All photographs were taken by the… See the full description on the dataset page: https://huggingface.co/datasets/shanexf/2026-24679-fastener-matching.EMID-Emotion-Matching
EMID-Emotion-Matching
orrzohar/EMID-Emotion-Matching is a derived dataset built on top of
the Emotionally paired Music and Image Dataset (EMID) from ECNU (ecnu-aigc/EMID).
It is designed for music ↔ image emotion matching with Qwen-Omni–style models.
Each example contains:
audio: mono waveform stored as datasets.Audio (HF Hub preview can play it)
sampling_rate: sampling rate used when decoding (typically 16 kHz)
image: a single image (datasets.Image)
same: bool, whether the audio… See the full description on the dataset page: https://huggingface.co/datasets/lossminimilization/EMID-Emotion-Matching.