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--- |
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annotations_creators: |
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- machine-generated |
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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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- machine-generated |
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multilinguality: |
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- multilingual |
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pretty_name: NeuMARCO |
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size_categories: |
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- 1M<n<10M |
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source_datasets: |
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- extended|irds/msmarco-passage |
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tags: [] |
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task_categories: |
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- text-retrieval |
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--- |
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# Dataset Card for NeuMARCO |
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## Dataset Description |
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- **Website:** https://neuclir.github.io/ |
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### Dataset Summary |
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This is the dataset created for TREC 2022 NeuCLIR Track. The collection consists of documents from [`msmarco-passage`](https://ir-datasets.com/msmarco-passage) translated into |
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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) | 8.8M | |
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| `rus` (Russian) | 8.8M | |
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| `zho` (Chinese) | 8.8M | |
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### Data Fields |
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- `doc_id`: unique identifier for this document |
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- `text`: translated passage text |
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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/neumarco') |
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dataset['fas'] # Persian passages |
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dataset['rus'] # Russian passages |
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dataset['zho'] # Chinese passages |
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``` |
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