This retrieval dataset has been repurposed for retrieval from TAT-QA, a large-scale QA dataset using tabular and textual content.
Usage
import datasets
Download the dataset
queries = datasets.load_dataset("embedding-benchmark/DS1000", "queries")
documents = datasets.load_dataset("embedding-benchmark/DS1000", "corpus")
pair_labels = datasets.load_dataset("embedding-benchmark/DS1000", "default")
