---
license: cc-by-4.0
annotations_creators:
- NIST
task_categories:
- text-retrieval
- text-ranking
language:
- en
- zh
- fa
- ru
multilinguality:
- multilingual
pretty_name: NeuCLIRBench
size_categories:
- n<1K
task_ids:
- document-retrieval
configs:
- config_name: queries
  default: true
  data_files:
  - split: eng
    path: data/news.eng.tsv
  - split: fas
    path: data/news.fas.tsv
  - split: rus
    path: data/news.rus.tsv
  - split: zho
    path: data/news.zho.tsv
  format: csv
  sep: "\t"
  header: null
  names: ["id", "query"]
  dataset_info:
    features:
    - name: id
      dtype: string
    - name: query
      dtype: string
- config_name: qrels
  default: false
  data_files:
  - split: mlir
    path: data/qrels.mlir.gains.txt
  - split: fas
    path: data/qrels.fas.gains.txt
  - split: rus
    path: data/qrels.rus.gains.txt
  - split: zho
    path: data/qrels.zho.gains.txt
  format: csv
  sep: " "
  header: null
  names: ["id", "ignore", "docid", "relevance"]
  dataset_info:
    features:
    - name: id
      dtype: string
    - name: ignore
      dtype: string
    - name: docid
      dtype: string
    - name: relevance
      dtype: int
---

# NeuCLIRBench Topics and Queries

NeuCLIRBench is an evaluation benchmark for monolingual, cross-language, and multilingual adhoc retrieval. 

The document collection can be found at [neuclir/neuclir1](https://huggingface.co/datasets/neuclir/neuclir1).

## Supporting Tasks and Corresponding Data

NeuCLIRBench supports three types of tasks: monolingual, cross-language, and multilingual adhoc retrieval. 
The following specifies the documents, queries, and qrels (labels) that should be used for each task. 

Please report nDCG@20 for all tasks. 

*We use `:` to indicate different subset under the dataset.*

### Monolingual Retrieval (`mono`)
| Language | Documents | Queries | Qrels |
| --- | --- | --- | --- |
| English | All splits under `neuclir/neuclir1:mt_docs`  | `eng` split of `neuclir/bench:queries` | `mlir` split of `neuclir/bench:qrels` |
| Persian | `fas` split of `neuclir/neuclir1:default`    | `fas` split of `neuclir/bench:queries` | `fas` split of `neuclir/bench:qrels` |
| Russian | `rus` split of `neuclir/neuclir1:default`    | `rus` split of `neuclir/bench:queries` | `rus` split of `neuclir/bench:qrels` |
| Chinese | `zho` split of `neuclir/neuclir1:default`    | `zho` split of `neuclir/bench:queries` | `zho` split of `neuclir/bench:qrels` |

### Cross-Language Retrieval (`clir`)
| Language | Documents | Queries | Qrels |
| --- | --- | --- | --- |
| Persian | `fas` split of `neuclir/neuclir1:default`    | `eng` split of `neuclir/bench:queries` | `fas` split of `neuclir/bench:qrels` |
| Russian | `rus` split of `neuclir/neuclir1:default`    | `eng` split of `neuclir/bench:queries` | `rus` split of `neuclir/bench:qrels` |
| Chinese | `zho` split of `neuclir/neuclir1:default`    | `eng` split of `neuclir/bench:queries` | `zho` split of `neuclir/bench:qrels` |


### Multilingual Retrieval (`mlir`)
| Language | Documents | Queries | Qrels |
| --- | --- | --- | --- |
| English | All splits under `neuclir/neuclir1:default`  | `eng` split of `neuclir/bench:queries` | `mlir` split of `neuclir/bench:qrels` |

## Baseline Retrieval Results and Run Files
We also provide all reported baseline retrieval results in the NeuCLIRBench paper. 
Please refer to the paper for the detailed descriptions of each model. 

![Monolingual Results](https://cdn-uploads.huggingface.co/production/uploads/63a0c07a3c8841cfe2cd1e70/EdfQAcTgwsC4P4lk5lQTh.png)
![Cross-Language and Multilngual Results](https://cdn-uploads.huggingface.co/production/uploads/63a0c07a3c8841cfe2cd1e70/CCs5PCzBgiPsjZsfG1iM6.png)

### Run Names
Please refer to the `./runs` directory in this dataset to find all the runs. 
Files follow the naming scheme of `{run_handle}_{task:mono/clir/mlir}_{lang}.trec`. Please refer to the task section for the details. 

| Run Handle        | Model Type         | Model Name            |
|:------------------|:-------------------|:----------------------|
| bm25              | Lexical            | BM25                  |
| bm25dt            | Lexical            | BM25 w/ DT            |
| bm25qt            | Lexical            | BM25 w/ QT            |
| milco             | Bi-Encoder         | MILCO                 |
| plaidx            | Bi-Encoder         | PLAID-X               |
| qwen8b            | Bi-Encoder         | Qwen3 8B Embed        |
| qwen4b            | Bi-Encoder         | Qwen3 4B Embed        |
| qwen600m          | Bi-Encoder         | Qwen3 0.6B Embed      |
| arctic            | Bi-Encoder         | Arctic-Embed Large v2 |
| splade            | Bi-Encoder         | SPLADEv3              |
| fusion3           | Bi-Encoder         | Fusion                |
| repllama          | Bi-Encoder         | RepLlama              |
| me5large          | Bi-Encoder         | e5 Large              |
| jinav3            | Bi-Encoder         | JinaV3                |
| bgem3sparse       | Bi-Encoder         | BGE-M3 Sparse         |
| mt5               | Pointwise Reranker | Mono-mT5XXL           |
| qwen3-0.6b-rerank | Pointwise Reranker | Qwen3 0.6B Rerank     |
| qwen3-4b-rerank   | Pointwise Reranker | Qwen3 4B Rerank       |
| qwen3-8b-rerank   | Pointwise Reranker | Qwen3 8B Rerank       |
| jina-rerank       | Pointwise Reranker | Jina Reranker         |
| searcher-rerank   | Pointwise Reranker | SEARCHER Reranker     |
| rank1             | Pointwise Reranker | Rank1                 |
| qwq               | Listwise Reranker  | Rank-K (QwQ)          |
| rankzephyr        | Listwise Reranker  | RankZephyr 7B         |
| firstqwen         | Listwise Reranker  | FIRST Qwen3 8B        |
| rq32b             | Listwise Reranker  | RankQwen-32B          |


## Citation
```bibtex
@article{neuclirbench,
      title={NeuCLIRBench: A Modern Evaluation Collection for Monolingual, Cross-Language, and Multilingual Information Retrieval}, 
      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},
      year={2025},
      eprint={2511.14758},
      archivePrefix={arXiv},
      primaryClass={cs.IR},
      url={https://arxiv.org/abs/2511.14758}, 
}
```