Datasets:
Sean MacAvaney
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Browse files- .gitattributes +1 -0
- README.md +76 -0
- data/fas-00000-of-00001.jsonl.gz +3 -0
- data/rus-00000-of-00001.jsonl.gz +3 -0
- data/zho-00000-of-00001.jsonl.gz +3 -0
.gitattributes
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README.md
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---
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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:
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- document-retrieval
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---
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# Dataset Card for HC4
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## Dataset Description
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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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### 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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| `fa` (Persian) | 486K |
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| `ru` (Russian) | 4.7M |
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| `zh` (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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### Citation Information
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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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data/fas-00000-of-00001.jsonl.gz
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size 518142839
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data/rus-00000-of-00001.jsonl.gz
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size 4220240321
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data/zho-00000-of-00001.jsonl.gz
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size 578213701
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