README.md

---
language:
- en
config_names:
- query
- corpus
- qrels
tags:
- information-retrieval
- multimodal-retrieval
dataset_info:
- config_name: qrels
  features:
  - name: query-id
    dtype: string
  - name: Q0
    dtype: string
  - name: corpus-id
    dtype: string
  - name: score
    dtype: int8
  splits:
  - name: test
    num_examples: 3609
- config_name: corpus
  features:
  - name: id
    dtype: string
  - name: modality
    dtype: string
  - name: text
    dtype: string
  - name: image
    dtype: image
  splits:
  - name: corpus
    num_examples: 138794
- config_name: query
  features:
  - name: id
    dtype: string
  - name: modality
    dtype: string
  - name: text
    dtype: string
  - name: image
    dtype: image
  splits:
  - name: test
    num_examples: 3609
configs:
- config_name: qrels
  data_files:
  - split: test
    path: qrels.parquet
- config_name: corpus
  data_files:
  - split: corpus
    path: corpus.parquet
- config_name: query
  data_files:
  - split: test
    path: query.parquet
license: cc0-1.0
---

## ReMuQ Image-Text to Text Retrieval

Converted from https://github.com/luomancs/ReMuQ

```
@inproceedings{luo-etal-2023-end,
    title = "End-to-end Knowledge Retrieval with Multi-modal Queries",
    author = "Luo, Man  and
      Fang, Zhiyuan  and
      Gokhale, Tejas  and
      Yang, Yezhou  and
      Baral, Chitta",
    editor = "Rogers, Anna  and
      Boyd-Graber, Jordan  and
      Okazaki, Naoaki",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-long.478",
    doi = "10.18653/v1/2023.acl-long.478",
    pages = "8573--8589",
}
```