Datasets:
Modalities:
Text
Formats:
webdataset
Sub-tasks:
conversational
Languages:
English
Size:
100K - 1M
ArXiv:
Tags:
multi-modal dialogue
License:
license: cc-by-nc-4.0 | |
language: | |
- en | |
pretty_name: Stark | |
tags: | |
- multi-modal dialogue | |
annotation_creators: | |
- machine-generated | |
task_ids: | |
- conversational | |
dataset_size: 899K | |
# Dataset Card for Stark | |
[π Homepage](https://stark-dataset.github.io/) | [π» Github](https://github.com/passing2961/Stark) | [π Arxiv](https://arxiv.org/abs/2407.03958) | [π PDF](https://arxiv.org/pdf/2407.03958) | |
## List of Provided Model Series | |
- **Ultron-Summarizer-Series:** [π€ Ultron-Summarizer-1B](https://huggingface.co/passing2961/Ultron-Summarizer-1B) | [π€ Ultron-Summarizer-3B](https://huggingface.co/passing2961/Ultron-Summarizer-3B) | [π€ Ultron-Summarizer-8B](https://huggingface.co/passing2961/Ultron-Summarizer-8B) | |
- **Ultron 7B**: [π€ Ultron-7B](https://huggingface.co/passing2961/Ultron-7B) | |
> π¨ Disclaimer: All models and datasets are intended for research purposes only. | |
## Dataset Description | |
- **Repository:** [Code](https://github.com/passing2961/Stark) | |
- **Paper:** [Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge](https://arxiv.org/abs/2407.03958) | |
- **Point of Contact:** [Young-Jun Lee](mailto:[email protected]) | |
## Dataset Summary | |
**Stark** is a publicly available, large-scale, long-term multi-modal conversation dataset that encompasses a diverse range of social personas, multi-modality formats, time intervals, and images. To automatically construct Stark, we introduce a novel multi-modal contextualization framework, **MCU**, which generates long-term multi-modal dialogues distilled from ChatGPT and our proposed **Plan-and-Execute Image Aligner**. An overview of MCU and an example from Stark are illustrated below. | |
![MCU Pipeline](stark_mcu_overview.PNG) | |
**Note**: The **Stark** dataset contains many images that originate from different sources, including a personalized text-to-image generator (i.e., [PhotoMaker](https://photo-maker.github.io/)), [Bing Search](https://pypi.org/project/icrawler/), and Image DB retrieval, thanks to our proposed **Plan-and-Execute Image Aligner** to ensure the high quality of the Stark dataset. Therefore, we divide the entire collection of images into two repositories based on the source: | |
1. **This Repository**: Contains images sourced from [CC12M](https://github.com/google-research-datasets/conceptual-12m) and [RedCaps12M](https://redcaps.xyz/), which provide the image URL links. | |
2. **Another Repository**: Contains images from the personalized text-to-image generator, Bing Search, and Image DB retrieval (excluding CC12M and RedCaps12M). This dataset is provided in [this repository](https://huggingface.co/datasets/passing2961/stark-image). | |
> β οΈ **Warning**: Since the images provided in this repository are sourced from CC12M and RedCaps12M, some images may not be accessible if the original URL owners have restricted access or removed them. | |
For image database retrieval, we use CLIP (i.e., `ViT-L/14@336px`) to retrieve images from the prepared source image datasets: [CC12M](https://github.com/google-research-datasets/conceptual-12m), [RedCaps12M](https://redcaps.xyz/), [ChartQA](https://github.com/vis-nlp/ChartQA), [AI2D](https://arxiv.org/pdf/1603.07396v1), and [MathVision](https://huggingface.co/datasets/MathLLMs/MathVision). For efficient searching, we utilize [AutoFaiss](https://github.com/criteo/autofaiss). | |
## Dataset Structure | |
Since the number of images is large (roughly 899K), we store and provide the image datasets in WebDataset format for efficiency. | |
| Field | Type | Description | | |
|---------|--------|--------------| | |
| `key` | str | A unique identifier for each data entry in the dataset. | | |
| `url` | str | The URL path to the image stored in the dataset repository on HuggingFace. All URLs point to the base HuggingFace repository where images are stored. | | |
| `json` | dict | Contains additional metadata and information for each image, structured as a dictionary. The JSON field typically includes the following keys: `image_source`, `image_url`, `index`. | | |
- **`image_source`**: Source of the image (`cc12m`, `redcaps12m`), where: | |
- `"cc12m"`: Image from [CC12M](https://github.com/google-research-datasets/conceptual-12m) via Image DB retrieval. | |
- `"redcaps12m"`: Image from the [RedCaps12M](https://redcaps.xyz/) dataset via Image DB retrieval. | |
- **`image_url`**: External URL where the image was originally sourced. | |
- **`index`**: A unique index identifier for each image within the dataset, which is the same as the `key` field. | |
## Languages | |
- English | |
## Further Details and Limitations | |
For additional information and limitations, please refer to our [paper](https://arxiv.org/abs/2407.03958). | |
## License and Recommendations | |
The **Stark** dataset is intended for research purposes only. Despite our efforts to generate high-quality and diverse personalized images, users should be mindful of ethical considerations when utilizing the dataset. | |
## Acknowledgements | |
This work was supported by a grant from the KAIST-KT joint research project through AI Tech Lab, Institute of Convergence Technology, funded by KT [Project No. G01230605, Development of Task-oriented Persona-based Dialogue Generation Combining Multi-modal Interaction and Knowledge Modeling]. | |
## Citation | |
If you find the resources in this repository useful, please cite our work: | |