Datasets:

Hyukkyu
/

beir-msmarco

license: apache-2.0
task_categories:
  - information-retrieval
  - text-retrieval
tags:
  - beir
  - msmarco
  - information-retrieval
  - retrieval
  - search
dataset_info:
  config_name: queries
  features:
    - name: _id
      dtype: string
    - name: metadata
      dtype: 'null'
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 24100662
      num_examples: 509962
  download_size: 15448970
  dataset_size: 24100662
configs:
  - config_name: queries
    data_files:
      - split: train
        path: queries/train-*

BEIR MSMARCO Dataset (Migrated)

This is a migrated version of BeIR/msmarco that is compatible with datasets library 4.0.0+.

Dataset Description

This dataset contains the msmarco dataset from the BEIR benchmark, converted from the old script-based format to Parquet format.

Dataset Structure

Queries

Split 'queries': 509,962 examples
- Features: ['_id', 'text', 'metadata']
Total examples: 509,962

Corpus

Split 'corpus': 8,841,823 examples
- Features: ['_id', 'title', 'text', 'metadata']
Total examples: 8,841,823

Usage

from datasets import load_dataset

# Load queries (split: queries)
queries = load_dataset("Hyukkyu/beir-msmarco", "queries", split="queries")

# Load corpus (split: corpus)
corpus = load_dataset("Hyukkyu/beir-msmarco", "corpus", split="corpus")

Available Splits

Queries

queries: 509,962 examples

Corpus

corpus: 8,841,823 examples

Original Dataset

This dataset is migrated from: BeIR/msmarco

Citation

If you use this dataset, please cite the original BEIR paper:

@article{thakur2021beir,
  title={BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models},
  author={Thakur, Nandan and Reimers, Nils and Ruckle, Andreas and Srivastava, Abhishek and Gurevych, Iryna},
  journal={arXiv preprint arXiv:2104.08663},
  year={2021}
}