query stringclasses 2
values | pos sequencelengths 1 1 | neg sequencelengths 7 7 |
|---|---|---|
easy healthy dog snacks | [
"\"To create nutritious, low-fat canine nibbles, begin by selecting lean proteins such as chicken breast or turkey. Incorporate vegetables like carrots or green beans, known for their dietary benefits and low calorie content. Opt for whole grains, such as brown rice or oats, to add fiber without excessive fats. Pur... | [
"\"Develop a comprehensive study on the generalized pseudo-Newtonian potential for analyzing accretion disk dynamics in off-equatorial planes around rotating black holes, focusing on the description of a vector potential. This research should delve into the mathematical formulation of the potential, its implication... |
grain-free pet food | [
"\"After switching to this no-corn, no-wheat, no-soy formula, I've noticed a significant improvement in my dog's energy levels and coat shine. Initially skeptical about the benefits of omitting traditional fillers, I'm now a convert. His digestive issues have all but disappeared, and he seems more eager for meal ti... | [
"\"The anticipation for the next Olympics location is palpable across the web, sparking discussions and predictions. Websites dedicated to Olympic news have been updating their content frequently, ensuring that enthusiasts don't miss a beat. Interestingly, the search for this information has become a digital scaven... |
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
pet-shop-2_9062874564 Dataset
Dataset Description
pet-shop-2_9062874564 is a generated dataset designed to support the development of domain specific embedding models for retrieval tasks.
Associated Model
This dataset was used to train the pet-shop-2_9062874564 model.
How to Use
To use this dataset for model training or evaluation, you can load it using the Hugging Face datasets library as follows:
from datasets import load_dataset
dataset_name = "pet-shop-2_9062874564"
dataset = load_dataset(dataset_name)
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