Datasets:
metadata
annotations_creators:
- machine-generated
language:
- fa
- ru
- zh
language_creators:
- machine-generated
multilinguality:
- multilingual
pretty_name: NeuMARCO
size_categories:
- 1M<n<10M
source_datasets:
- extended|irds/msmarco-passage
tags: []
task_categories:
- text-retrieval
Dataset Card for NeuMARCO
Dataset Description
- Website: https://neuclir.github.io/
Dataset Summary
This is the dataset created for TREC 2022 NeuCLIR Track. The collection consists of documents from msmarco-passage
translated into
Chinese, Persian, and Russian.
Languages
- Chinese
- Persian
- Russian
Dataset Structure
Data Instances
Split | Documents |
---|---|
fas (Persian) |
8.8M |
rus (Russian) |
8.8M |
zho (Chinese) |
8.8M |
Data Fields
doc_id
: unique identifier for this documenttext
: translated passage text
Dataset Usage
Using 🤗 Datasets:
from datasets import load_dataset
dataset = load_dataset('neuclir/neumarco')
dataset['fas'] # Persian passages
dataset['rus'] # Russian passages
dataset['zho'] # Chinese passages