metadata
dataset_info:
features:
- name: sentence1
dtype: string
- name: sentence2
dtype: string
- name: labels
dtype: int64
- name: metadata
dtype: string
splits:
- name: train
num_bytes: 486486046
num_examples: 183053
- name: validation
num_bytes: 55616011
num_examples: 21790
- name: test
num_bytes: 75316832
num_examples: 28605
download_size: 237057532
dataset_size: 617418889
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
license: mit
source_datasets:
- napsternxg/wands
wands
WANDS native three-grade product relevance with query-disjoint internal holdouts.
Original Wayfair data: https://github.com/wayfair/WANDS (MIT). Uses the pinned joined napsternxg/wands Hub copy; its random row splits overlap on queries and are replaced by deterministic 80/10/10 normalized-query groups. All native judgments are retained. Inputs contain query and product content; popularity/rating fields and relevance labels never enter model inputs.
Original data: napsternxg/wands. Repackaged as parquet for tasksource by scripts/repackage_dataset/.