lux
Datasets
All datasets matching “lux”dataomnieMCR
eMCR: A Benchmark for Multi-Condition Product Retrieval in Chinese E-Commerce
This is the official dataset and evaluation code for the paper "eMCR: A Benchmark for Multi-Condition Product Retrieval in Chinese E-Commerce".
Overview
Product search increasingly involves queries that combine multiple requirements — product attributes, brands, prices, exclusions, and visual descriptions. Existing retrieval benchmarks provide limited support for diagnosing which… See the full description on the dataset page: https://huggingface.co/datasets/Lux1997/eMCR.Wan2GPpitch-control-tracking
Pitch Control Tracking Data
Per-player per-frame pitch control values from ~38 million rows of professional soccer tracking data across 20 matches from three providers. Computed using the Spearman (2017) physics-based model — each row contains one player's position, velocity, and the home-team control probability at that location.
Part of the (Right! Luxury!) Lakehouse soccer analytics platform.
Quick Start
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/luxury-lakehouse/pitch-control-tracking.LuxAlign
Dataset Card for LuxAlign
Loading the Dataset
The dataset is currently at version v3, which can be loaded as:
from datasets import load_dataset
ds = load_dataset("fredxlpy/LuxAlign", name="lb-en") # or "lb-fr"
If you want to reproduce the results from the paper (v1) or use any previous version, you can specify the version folder:
# Load version v1 (as used in the paper)
ds_v1 = load_dataset("fredxlpy/LuxAlign", data_dir="data/v1", data_files={"train": "lb_en.json"})… See the full description on the dataset page: https://huggingface.co/datasets/fredxlpy/LuxAlign.ASPRM-BON-Evaluation-Dataset-MathThis repository contains the datasets for the paper AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence.
