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--- |
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license: cc-by-4.0 |
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annotations_creators: |
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- NIST |
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task_categories: |
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- text-retrieval |
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- text-ranking |
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language: |
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- en |
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- zh |
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- fa |
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- ru |
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multilinguality: |
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- multilingual |
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pretty_name: NeuCLIRBench |
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size_categories: |
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- n<1K |
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task_ids: |
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- document-retrieval |
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configs: |
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- config_name: queries |
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default: true |
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data_files: |
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- split: eng |
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path: data/news.eng.tsv |
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- split: fas |
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path: data/news.fas.tsv |
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- split: rus |
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path: data/news.rus.tsv |
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- split: zho |
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path: data/news.zho.tsv |
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format: csv |
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sep: "\t" |
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header: null |
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names: ["id", "query"] |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: query |
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dtype: string |
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- config_name: qrels |
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default: false |
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data_files: |
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- split: mlir |
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path: data/qrels.mlir.gains.txt |
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- split: fas |
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path: data/qrels.fas.gains.txt |
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- split: rus |
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path: data/qrels.rus.gains.txt |
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- split: zho |
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path: data/qrels.zho.gains.txt |
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format: csv |
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sep: " " |
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header: null |
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names: ["id", "ignore", "docid", "relevance"] |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: ignore |
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dtype: string |
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- name: docid |
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dtype: string |
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- name: relevance |
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dtype: int |
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--- |
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# NeuCLIRBench Topics and Queries |
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NeuCLIRBench is an evaluation benchmark for monolingual, cross-language, and multilingual adhoc retrieval. |
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The document collection can be found at [neuclir/neuclir1](https://huggingface.co/datasets/neuclir/neuclir1). |
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## Supporting Tasks and Corresponding Data |
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NeuCLIRBench supports three types of tasks: monolingual, cross-language, and multilingual adhoc retrieval. |
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The following specifies the documents, queries, and qrels (labels) that should be used for each task. |
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Please report nDCG@20 for all tasks. |
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*We use `:` to indicate different subset under the dataset.* |
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### Monolingual Retrieval (`mono`) |
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| Language | Documents | Queries | Qrels | |
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| --- | --- | --- | --- | |
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| English | All splits under `neuclir/neuclir1:mt_docs` | `eng` split of `neuclir/bench:queries` | `mlir` split of `neuclir/bench:qrels` | |
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| Persian | `fas` split of `neuclir/neuclir1:default` | `fas` split of `neuclir/bench:queries` | `fas` split of `neuclir/bench:qrels` | |
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| Russian | `rus` split of `neuclir/neuclir1:default` | `rus` split of `neuclir/bench:queries` | `rus` split of `neuclir/bench:qrels` | |
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| Chinese | `zho` split of `neuclir/neuclir1:default` | `zho` split of `neuclir/bench:queries` | `zho` split of `neuclir/bench:qrels` | |
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### Cross-Language Retrieval (`clir`) |
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| Language | Documents | Queries | Qrels | |
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| --- | --- | --- | --- | |
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| Persian | `fas` split of `neuclir/neuclir1:default` | `eng` split of `neuclir/bench:queries` | `fas` split of `neuclir/bench:qrels` | |
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| Russian | `rus` split of `neuclir/neuclir1:default` | `eng` split of `neuclir/bench:queries` | `rus` split of `neuclir/bench:qrels` | |
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| Chinese | `zho` split of `neuclir/neuclir1:default` | `eng` split of `neuclir/bench:queries` | `zho` split of `neuclir/bench:qrels` | |
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### Multilingual Retrieval (`mlir`) |
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| Language | Documents | Queries | Qrels | |
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| --- | --- | --- | --- | |
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| English | All splits under `neuclir/neuclir1:default` | `eng` split of `neuclir/bench:queries` | `mlir` split of `neuclir/bench:qrels` | |
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## Baseline Retrieval Results and Run Files |
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We also provide all reported baseline retrieval results in the NeuCLIRBench paper. |
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Please refer to the paper for the detailed descriptions of each model. |
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### Run Names |
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Please refer to the `./runs` directory in this dataset to find all the runs. |
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Files follow the naming scheme of `{run_handle}_{task:mono/clir/mlir}_{lang}.trec`. Please refer to the task section for the details. |
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| Run Handle | Model Type | Model Name | |
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|:------------------|:-------------------|:----------------------| |
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| bm25 | Lexical | BM25 | |
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| bm25dt | Lexical | BM25 w/ DT | |
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| bm25qt | Lexical | BM25 w/ QT | |
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| milco | Bi-Encoder | MILCO | |
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| plaidx | Bi-Encoder | PLAID-X | |
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| qwen8b | Bi-Encoder | Qwen3 8B Embed | |
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| qwen4b | Bi-Encoder | Qwen3 4B Embed | |
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| qwen600m | Bi-Encoder | Qwen3 0.6B Embed | |
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| arctic | Bi-Encoder | Arctic-Embed Large v2 | |
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| splade | Bi-Encoder | SPLADEv3 | |
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| fusion3 | Bi-Encoder | Fusion | |
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| repllama | Bi-Encoder | RepLlama | |
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| me5large | Bi-Encoder | e5 Large | |
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| jinav3 | Bi-Encoder | JinaV3 | |
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| bgem3sparse | Bi-Encoder | BGE-M3 Sparse | |
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| mt5 | Pointwise Reranker | Mono-mT5XXL | |
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| qwen3-0.6b-rerank | Pointwise Reranker | Qwen3 0.6B Rerank | |
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| qwen3-4b-rerank | Pointwise Reranker | Qwen3 4B Rerank | |
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| qwen3-8b-rerank | Pointwise Reranker | Qwen3 8B Rerank | |
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| jina-rerank | Pointwise Reranker | Jina Reranker | |
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| searcher-rerank | Pointwise Reranker | SEARCHER Reranker | |
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| rank1 | Pointwise Reranker | Rank1 | |
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| qwq | Listwise Reranker | Rank-K (QwQ) | |
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| rankzephyr | Listwise Reranker | RankZephyr 7B | |
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| firstqwen | Listwise Reranker | FIRST Qwen3 8B | |
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| rq32b | Listwise Reranker | RankQwen-32B | |
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## Citation |
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```bibtex |
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@article{neuclirbench, |
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title={NeuCLIRBench: A Modern Evaluation Collection for Monolingual, Cross-Language, and Multilingual Information Retrieval}, |
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author={Dawn Lawrie and James Mayfield and Eugene Yang and Andrew Yates and Sean MacAvaney and Ronak Pradeep and Scott Miller and Paul McNamee and Luca Soldani}, |
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year={2025}, |
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eprint={2511.14758}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.IR}, |
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url={https://arxiv.org/abs/2511.14758}, |
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} |
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``` |
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