Datasets:
Tasks:
Text Retrieval
ArXiv:
pretty_name: '`hc4/zh`' | |
viewer: false | |
source_datasets: [] | |
task_categories: | |
- text-retrieval | |
# Dataset Card for `hc4/zh` | |
The `hc4/zh` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. | |
For more information about the dataset, see the [documentation](https://ir-datasets.com/hc4#hc4/zh). | |
# Data | |
This dataset provides: | |
- `docs` (documents, i.e., the corpus); count=646,305 | |
## Usage | |
```python | |
from datasets import load_dataset | |
docs = load_dataset('irds/hc4_zh', 'docs') | |
for record in docs: | |
record # {'doc_id': ..., 'title': ..., 'text': ..., 'url': ..., 'time': ..., 'cc_file': ...} | |
``` | |
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 | |
``` | |
@article{Lawrie2022HC4, | |
author = {Dawn Lawrie and James Mayfield and Douglas W. Oard and Eugene Yang}, | |
title = {HC4: A New Suite of Test Collections for Ad Hoc CLIR}, | |
booktitle = {{Advances in Information Retrieval. 44th European Conference on IR Research (ECIR 2022)}, | |
year = {2022}, | |
month = apr, | |
publisher = {Springer}, | |
series = {Lecture Notes in Computer Science}, | |
site = {Stavanger, Norway}, | |
url = {https://arxiv.org/abs/2201.09992} | |
} | |
``` | |