README.md

metadata

language:
  - en
multilinguality:
  - monolingual
size_categories:
  - 1M<n<10M
pretty_name: MS MARCO corpus
dataset_info:
  - config_name: default
    features:
      - name: pid
        dtype: int64
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 3089201649
        num_examples: 8841823
    download_size: 1688656108
    dataset_size: 3089201649
  - config_name: passage
    features:
      - name: id
        dtype: int64
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 3089201649
        num_examples: 8841823
    download_size: 1688638398
    dataset_size: 3089201649
  - config_name: query
    features:
      - name: qid
        dtype: int64
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 48033044
        num_examples: 1010916
    download_size: 34858846
    dataset_size: 48033044
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
  - config_name: passage
    data_files:
      - split: train
        path: data/train-*
  - config_name: query
    data_files:
      - split: train
        path: queries/train-*

MS MARCO Corpus

This dataset allows for a convenient mapping from MS MARCO query/passage ID to the query/passage text. This corpus was downloaded from https://msmarco.z22.web.core.windows.net/msmarcoranking/collection.tar.gz.

Usage

This dataset was designed to allow you to perform the following:

from datasets import load_dataset

dataset = load_dataset("sentence-transformers/msmarco-corpus", "query")
id_to_text = dict(zip(dataset["qid"], dataset["text"]))
print(id_to_text[571018])