|
--- |
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annotations_creators: |
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- no-annotation |
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language: |
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- fa |
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- ru |
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- zh |
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language_creators: |
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- found |
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license: |
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- odc-by |
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multilinguality: |
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- multilingual |
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pretty_name: HC4 |
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size_categories: |
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- 1M<n<10M |
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source_datasets: |
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- extended|c4 |
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tags: [] |
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task_categories: |
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- text-retrieval |
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task_ids: |
|
- document-retrieval |
|
--- |
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|
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# Dataset Card for HC4 |
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## Dataset Description |
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|
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- **Repository:** https://github.com/hltcoe/HC4 |
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- **Paper:** https://arxiv.org/abs/2201.09992 |
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|
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### Dataset Summary |
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HC4 is a suite of test collections for ad hoc Cross-Language Information Retrieval (CLIR), with Common Crawl News documents in Chinese, Persian, and Russian. The documents |
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are Web pages from Common Crawl in Chinese, Persian, and Russian. |
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### Languages |
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- Chinese |
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- Persian |
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- Russian |
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## Dataset Structure |
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### Data Instances |
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| Split | Documents | |
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|-----------------|----------:| |
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| `fas` (Persian) | 486K | |
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| `rus` (Russian) | 4.7M | |
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| `zho` (Chinese) | 646K | |
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### Data Fields |
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- `id`: unique identifier for this document |
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- `cc_file`: source file from connon crawl |
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- `time`: extracted date/time from article |
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- `title`: title extracted from article |
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- `text`: extracted article body |
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- `url`: source URL |
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## Dataset Usage |
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Using 🤗 Datasets: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset('neuclir/hc4') |
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dataset['fas'] # Persian documents |
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dataset['rus'] # Russian documents |
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dataset['zho'] # Chinese documents |
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``` |
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## Citation Information |
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|
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``` |
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@article{Lawrie2022HC4, |
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author = {Dawn Lawrie and James Mayfield and Douglas W. Oard and Eugene Yang}, |
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title = {HC4: A New Suite of Test Collections for Ad Hoc CLIR}, |
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booktitle = {{Advances in Information Retrieval. 44th European Conference on IR Research (ECIR 2022)}, |
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year = {2022}, |
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month = apr, |
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publisher = {Springer}, |
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series = {Lecture Notes in Computer Science}, |
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site = {Stavanger, Norway}, |
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url = {https://arxiv.org/abs/2201.09992} |
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} |
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``` |
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|