| dataset_info: | |
| features: | |
| - name: id | |
| dtype: int64 | |
| - name: question | |
| dtype: string | |
| - name: L | |
| dtype: int64 | |
| - name: images | |
| sequence: image | |
| splits: | |
| - name: train | |
| num_bytes: 46727796.0 | |
| num_examples: 120 | |
| download_size: 45774717 | |
| dataset_size: 46727796.0 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| task_categories: | |
| - image-text-to-text | |
| This dataset, LongWriter-V-22K, is used to train the LongWriter-V model for ultra-long and high-fidelity generation in vision-language models. It contains image-text pairs designed for prompting the model to generate extended text descriptions based on the input image. | |
| The model and dataset are described in the paper: [LongWriter-V: Enabling Ultra-Long and High-Fidelity Generation in Vision-Language Models](https://arxiv.org/abs/2502.14834) |