irds/antique_train_split200-train
Dataset Card for antique/train/split200-train The antique/train/split200-train dataset, provided by the ir-datasets package. For more information about the dataset, see the documentation. Data This dataset provides: queries (i.e., topics); count=2,226 qrels: (relevance assessments); count=25,229 For docs, use irds/antique Usage from datasets import load_dataset queries = load_dataset('irds/antique_train_split200-train', 'queries') for record… See the full description on the dataset page: https://huggingface.co/datasets/irds/antique_train_split200-train.
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1---2pretty_name: '`antique/train/split200-train`'3viewer: false4source_datasets: ['irds/antique']5task_categories:6- text-retrieval7---8 9# Dataset Card for `antique/train/split200-train`10 11The `antique/train/split200-train` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.12For more information about the dataset, see the [documentation](https://ir-datasets.com/antique#antique/train/split200-train).13 14# Data15 16This dataset provides:17 - `queries` (i.e., topics); count=2,22618 - `qrels`: (relevance assessments); count=25,22919 20 - For `docs`, use [`irds/antique`](https://huggingface.co/datasets/irds/antique)21 22## Usage23 24```python25from datasets import load_dataset26 27queries = load_dataset('irds/antique_train_split200-train', 'queries')28for record in queries:29 record # {'query_id': ..., 'text': ...}30 31qrels = load_dataset('irds/antique_train_split200-train', 'qrels')32for record in qrels:33 record # {'query_id': ..., 'doc_id': ..., 'relevance': ...}34 35```36 37Note that calling `load_dataset` will download the dataset (or provide access instructions when it's not public) and make a copy of the38data in 🤗 Dataset format.39 40## Citation Information41 42```43@inproceedings{Hashemi2020Antique,44 title={ANTIQUE: A Non-Factoid Question Answering Benchmark},45 author={Helia Hashemi and Mohammad Aliannejadi and Hamed Zamani and Bruce Croft},46 booktitle={ECIR},47 year={2020}48}49```50