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--- |
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language: |
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- en |
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license: apache-2.0 |
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size_categories: |
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- 1M<n<10M |
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pretty_name: MMEB-train-lance |
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tags: |
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- embedding |
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- lance |
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- multimodal |
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configs: |
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- config_name: A-OKVQA |
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data_files: |
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- split: train |
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path: data/A-OKVQA/train.lance/** |
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- split: original |
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path: data/A-OKVQA/original.lance/** |
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- split: diverse_instruction |
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path: data/A-OKVQA/diverse.lance/** |
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- config_name: ChartQA |
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data_files: |
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- split: train |
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path: data/ChartQA/train.lance/** |
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- split: original |
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path: data/ChartQA/original.lance/** |
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- split: diverse_instruction |
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path: data/ChartQA/diverse.lance/** |
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- config_name: CIRR |
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data_files: |
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- split: train |
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path: data/CIRR/train.lance/** |
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- split: original |
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path: data/CIRR/original.lance/** |
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- split: diverse_instruction |
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path: data/CIRR/diverse.lance/** |
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- config_name: DocVQA |
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data_files: |
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- split: train |
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path: data/DocVQA/train.lance/** |
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- split: original |
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path: data/DocVQA/original.lance/** |
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- split: diverse_instruction |
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path: data/DocVQA/diverse.lance/** |
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- config_name: HatefulMemes |
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data_files: |
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- split: train |
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path: data/HatefulMemes/train.lance/** |
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- split: original |
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path: data/HatefulMemes/original.lance/** |
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- split: diverse_instruction |
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path: data/HatefulMemes/diverse.lance/** |
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- config_name: ImageNet_1K |
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data_files: |
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- split: train |
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path: data/ImageNet_1K/train.lance/** |
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- split: original |
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path: data/ImageNet_1K/original.lance/** |
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- split: diverse_instruction |
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path: data/ImageNet_1K/diverse.lance/** |
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- config_name: InfographicsVQA |
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data_files: |
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- split: train |
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path: data/InfographicsVQA/train.lance/** |
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- split: original |
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path: data/InfographicsVQA/original.lance/** |
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- split: diverse_instruction |
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path: data/InfographicsVQA/diverse.lance/** |
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- config_name: MSCOCO |
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data_files: |
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- split: train |
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path: data/MSCOCO/train.lance/** |
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- split: original |
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path: data/MSCOCO/original.lance/** |
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- split: diverse_instruction |
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path: data/MSCOCO/diverse.lance/** |
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- config_name: MSCOCO_i2t |
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data_files: |
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- split: train |
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path: data/MSCOCO_i2t/train.lance/** |
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- split: original |
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path: data/MSCOCO_i2t/original.lance/** |
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- split: diverse_instruction |
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path: data/MSCOCO_i2t/diverse.lance/** |
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- config_name: MSCOCO_t2i |
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data_files: |
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- split: train |
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path: data/MSCOCO_t2i/train.lance/** |
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- split: original |
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path: data/MSCOCO_t2i/original.lance/** |
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- split: diverse_instruction |
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path: data/MSCOCO_t2i/diverse.lance/** |
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- config_name: N24News |
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data_files: |
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- split: train |
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path: data/N24News/train.lance/** |
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- split: original |
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path: data/N24News/original.lance/** |
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- split: diverse_instruction |
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path: data/N24News/diverse.lance/** |
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- config_name: NIGHTS |
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data_files: |
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- split: train |
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path: data/NIGHTS/train.lance/** |
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- split: original |
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path: data/NIGHTS/original.lance/** |
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- split: diverse_instruction |
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path: data/NIGHTS/diverse.lance/** |
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- config_name: OK-VQA |
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data_files: |
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- split: train |
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path: data/OK-VQA/train.lance/** |
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- split: original |
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path: data/OK-VQA/original.lance/** |
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- split: diverse_instruction |
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path: data/OK-VQA/diverse.lance/** |
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- config_name: SUN397 |
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data_files: |
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- split: train |
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path: data/SUN397/train.lance/** |
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- split: original |
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path: data/SUN397/original.lance/** |
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- split: diverse_instruction |
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path: data/SUN397/diverse.lance/** |
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- config_name: VOC2007 |
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data_files: |
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- split: train |
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path: data/VOC2007/train.lance/** |
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- split: original |
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path: data/VOC2007/original.lance/** |
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- split: diverse_instruction |
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path: data/VOC2007/diverse.lance/** |
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- config_name: VisDial |
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data_files: |
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- split: train |
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path: data/VisDial/train.lance/** |
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- split: original |
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path: data/VisDial/original.lance/** |
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- split: diverse_instruction |
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path: data/VisDial/diverse.lance/** |
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- config_name: Visual7W |
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data_files: |
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- split: train |
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path: data/Visual7W/train.lance/** |
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- split: original |
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path: data/Visual7W/original.lance/** |
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- split: diverse_instruction |
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path: data/Visual7W/diverse.lance/** |
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- config_name: VisualNews_i2t |
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data_files: |
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- split: train |
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path: data/VisualNews_i2t/train.lance/** |
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- split: original |
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path: data/VisualNews_i2t/original.lance/** |
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- split: diverse_instruction |
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path: data/VisualNews_i2t/diverse.lance/** |
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- config_name: VisualNews_t2i |
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data_files: |
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- split: train |
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path: data/VisualNews_t2i/train.lance/** |
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- split: original |
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path: data/VisualNews_t2i/original.lance/** |
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- split: diverse_instruction |
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path: data/VisualNews_t2i/diverse.lance/** |
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- config_name: WebQA |
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data_files: |
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- split: train |
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path: data/WebQA/train.lance/** |
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- split: original |
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path: data/WebQA/original.lance/** |
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- split: diverse_instruction |
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path: data/WebQA/diverse.lance/** |
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- config_name: images |
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data_files: data/images/** |
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--- |
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# MMEB Training Dataset (Lance Format) |
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This is a **Lance-format** version of the [TIGER-Lab/MMEB-train](https://huggingface.co/datasets/TIGER-Lab/MMEB-train) dataset, optimized for efficient storage and fast random access. |
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The original dataset is used for training VLM2Vec models in the paper [VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks](https://arxiv.org/abs/2410.05160) (ICLR 2025). |
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## Directory Structure |
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``` |
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TIGER-Lab_MMEB-train/ |
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└── data/ |
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├── A-OKVQA/ |
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│ ├── train.lance |
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│ ├── original.lance |
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│ └── diverse.lance |
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├── MSCOCO/ |
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│ └── ... |
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└── images/ |
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├── A-OKVQA.lance |
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├── MSCOCO.lance |
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└── ... |
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``` |
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## Schema |
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### Metadata (`{dataset}/{variant}.lance`) |
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| Field | Type | Description | |
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|-------|------|-------------| |
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| `qry` | string | Query text (may contain `<\|image_1\|>` placeholder) | |
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| `qry_image_id` | string | Query image path (empty if text-only) | |
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| `pos_text` | string | Positive sample text | |
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| `pos_image_id` | string | Positive sample image path | |
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| `neg_text` | string | Negative sample text (optional) | |
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| `neg_image_id` | string | Negative sample image path (optional) | |
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### Images (`images/{dataset}.lance`) |
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| Field | Type | Description | |
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|-------|------|-------------| |
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| `image_id` | string | Image path identifier | |
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| `data` | binary | Image binary data (JPEG) | |
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## Dataset Statistics |
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| Dataset | Samples | Images | |
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|---------|---------|--------| |
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| A-OKVQA | 17,056 | 17,056 | |
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| ChartQA | 28,299 | 28,299 | |
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| CIRR | 26,116 | 16,640 | |
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| DocVQA | 39,463 | 39,463 | |
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| HatefulMemes | 8,500 | 8,500 | |
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| ImageNet_1K | 100,000 | 100,000 | |
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| InfographicsVQA | 23,946 | 4,406 | |
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| MSCOCO | 100,000 | 59,969 | |
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| MSCOCO_i2t | 113,287 | 113,287 | |
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| MSCOCO_t2i | 100,000 | 70,414 | |
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| N24News | 48,988 | 48,988 | |
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| NIGHTS | 15,941 | 31,882 | |
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| OK-VQA | 9,009 | 9,009 | |
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| SUN397 | 19,850 | 19,850 | |
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| VisDial | 123,287 | 123,287 | |
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| Visual7W | 69,817 | 14,366 | |
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| VisualNews_i2t | 100,000 | 100,000 | |
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| VisualNews_t2i | 99,903 | 99,903 | |
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| VOC2007 | 7,844 | 7,844 | |
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| WebQA | 17,166 | 12,873 | |
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Each dataset has 3 variants: `train`, `original`, and `diverse_instruction` (same sample count, different instruction templates). |
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## Original Dataset |
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This dataset is derived from [TIGER-Lab/MMEB-train](https://huggingface.co/datasets/TIGER-Lab/MMEB-train). For evaluation, please refer to [TIGER-Lab/MMEB-eval](https://huggingface.co/datasets/TIGER-Lab/MMEB-eval). |
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## Citation |
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```bibtex |
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@article{jiang2024vlm2vec, |
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title={VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks}, |
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author={Jiang, Ziyan and Meng, Rui and Yang, Xinyi and Yavuz, Semih and Zhou, Yingbo and Chen, Wenhu}, |
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journal={arXiv preprint arXiv:2410.05160}, |
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year={2024} |
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} |
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``` |
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## License |
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Apache-2.0 (same as the original dataset) |
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