xmi
Datasets
All datasets matching “xmi”xMINDlarge
Dataset Card for xMINDlarge
Dataset Summary
xMINDlarge is an open, large-scale multi-parallel news dataset for multi- and cross-lingual news recommendation.
It is derived from the English MINDlarge dataset using open-source neural machine translation (i.e., NLLB 3.3B).
For the small version of the dataset, see xMINDsmall.
Uses
This dataset can be used for machine translation, text retrieval, or as a benchmark dataset for news recommendation.… See the full description on the dataset page: https://huggingface.co/datasets/aiana94/xMINDlarge.xMINDsmall
Dataset Card for xMINDsmall
Dataset Summary
xMINDsmall is an open, large-scale multi-parallel news dataset for multi- and cross-lingual news recommendation.
It is derived from the English MINDsmall dataset using open-source neural machine translation (i.e., NLLB 3.3B).
For the large version of the dataset, see xMINDlarge.
Uses
This dataset can be used for machine translation, text retrieval, or as a benchmark dataset for news recommendation.… See the full description on the dataset page: https://huggingface.co/datasets/aiana94/xMINDsmall.xMIL-HeatmapsHeatmap data for the multiple instance learning models presented in:
Jamshidi Idaji et al. "Beyond attention heatmaps: How to get better explanations for multiple instance learning models in histopathology". Medical Image Analysis (2026).
Link: https://www.sciencedirect.com/science/article/pii/S1361841526002173
Code: https://github.com/bifold-pathomics/xMIL
@article{
jamshidi26beyond,
title = {Beyond attention heatmaps: How to get better explanations for multiple instance learning models… See the full description on the dataset page: https://huggingface.co/datasets/bifold-pathomics/xMIL-Heatmaps.pack-xmi-of-my-project-3akkcp-8eeafbe1
GraspNet Eval — Transparent Object Grasping (Home)
Evaluation datapack for GraspNet on grasping transparent objects with a robotic arm in home environments. 30 renders at 128x128 across three home scenes (two bedrooms and a dressing), with depth (metric), world-space normals (OpenGL linear), attenuation, trimap and material index passes to expose transparent, reflective and translucent surfaces where grasp detection is unreliable. Goal: locate and quantify where the model fails.… See the full description on the dataset page: https://huggingface.co/datasets/physicl-test/pack-xmi-of-my-project-3akkcp-8eeafbe1.text-to-xmi-from-ecoreThis is a small test set for XMI instance model generation task.
It containing 26 pairs of meta-models (Ecore), specifications (natural language) and instance models (XMI).
In each pair, the meta-model and instance model share the same name. To proper open the instance model in Eclipse EMF, the instance model and meta-model should be placed in the same folder.
The meta-models are selected from https://huggingface.co/datasets/fpan/text-to-ocl-from-ecore.
The specifications are generated via… See the full description on the dataset page: https://huggingface.co/datasets/fpan/text-to-xmi-from-ecore.calm-month-6bb464
calm-month-6bb464
Synthetic products test data: 42 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/Harbor-Xmiller/calm-month-6bb464.