README.md

metadata

pretty_name: '`wikiclir/pt`'
viewer: false
source_datasets: []
task_categories:
  - text-retrieval

Dataset Card for wikiclir/pt

The wikiclir/pt dataset, provided by the ir-datasets package. For more information about the dataset, see the documentation.

Data

This dataset provides:

• docs (documents, i.e., the corpus); count=973,057
• queries (i.e., topics); count=611,732
• qrels: (relevance assessments); count=1,741,889

Usage

from datasets import load_dataset

docs = load_dataset('irds/wikiclir_pt', 'docs')
for record in docs:
    record # {'doc_id': ..., 'title': ..., 'text': ...}

queries = load_dataset('irds/wikiclir_pt', 'queries')
for record in queries:
    record # {'query_id': ..., 'text': ...}

qrels = load_dataset('irds/wikiclir_pt', 'qrels')
for record in qrels:
    record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'iteration': ...}

Note that calling load_dataset will download the dataset (or provide access instructions when it's not public) and make a copy of the data in 🤗 Dataset format.

Citation Information

@inproceedings{sasaki-etal-2018-cross,
    title = "Cross-Lingual Learning-to-Rank with Shared Representations",
    author = "Sasaki, Shota  and
      Sun, Shuo  and
      Schamoni, Shigehiko  and
      Duh, Kevin  and
      Inui, Kentaro",
    booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/N18-2073",
    doi = "10.18653/v1/N18-2073",
    pages = "458--463"
}