Lord-Jim/DocMMIR
DocMMIR Dataset Dataset Description DocMMIR (Document-level Multimodal Information Retrieval) is a dataset for document-level multimodal information retrieval. This dataset contains image-text pairs from arXiv papers, Wikipedia, and presentations, specifically designed for multimodal retrieval tasks. Dataset Statistics Statistic Wiki ArXiv Slide Total #Train 360,285 62,764 27,057 450,079 #Valid 14,775 3,000 1,409 19,184 #Test 14,805 3… See the full description on the dataset page: https://huggingface.co/datasets/Lord-Jim/DocMMIR.
| Author / organization | Lord-Jim |
|---|---|
| License (as declared) | mit |
| Downloads | 127 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 30 September 2025 |
| Last updated at source | 7 November 2025 |
Recent changes
- 16 Oct 2026 Description: DocMMIR Dataset Dataset Description DocMMIR (Document-level Multimodal Information Retrieval) is a dataset for document-level multimodal information retrieval. This dataset contains image-text pairs from arXiv papers, Wikipedia, and present → DocMMIR Dataset Dataset Description DocMMIR (Document-level Multimodal Information Retrieval) is a dataset for document-level multimodal information retrieval. This dataset contains image-text pairs from arXiv papers, Wikipedia, and present
Changes detected by Silytics between refreshes of the source.
More from Lord-Jim
- Lord-Jim/DocMMIR_parquetDataset
- Lord-Jim/arxivDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.