Update README.md

README.md

@@ -25,7 +25,46 @@ dataset_info:
     num_examples: 200
   download_size: 22662
   dataset_size: 36188
+license: openrail
+task_categories:
+- text-to-image
+language:
+- en
+tags:
+- art
+- diffusers
+size_categories:
+- n<1K
 ---
-# Dataset Card for "ModelCofferRoster"
+# GEMRec-18k -- Model Coffer Roster
+This is the official model checkpoint metadata dataset for the paper [Towards Personalized Prompt-Model Retrieval for Generative Recommendation](https://github.com/MAPS-research/GEMRec). 
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+## Dataset Intro
+`GEMRec-18K` is a prompt-model interaction dataset with 18K images generated by 200 publicly-available generative models paired with a diverse set of 90 textual prompts. We randomly sampled a subset of 197 models from the full set of models (all finetuned from Stable Diffusion) on [Civitai](https://civitai.com/) according to the popularity distribution (i.e., download counts) and added 3 original Stable Diffusion checkpoints (v1.4, v1.5, v2.1) from HuggingFace. All the model checkpoints have been converted to the [Diffusers](https://huggingface.co/docs/diffusers/index) format. The textual prompts were drawn from three sources: 60 prompts were sampled from [Parti Prompts](https://github.com/google-research/parti); 10 prompts were sampled from [Civitai](https://civitai.com/) by popularity; we also handcrafted 10 prompts following the prompting guide from [DreamStudio](https://beta.dreamstudio.ai/prompt-guide), and then extended them to 20 by creating a shortened and simplified version following the tips from [Midjourney](https://docs.midjourney.com/docs/prompts). The textual prompts were classified into 12 categories: abstract, animal, architecture, art, artifact, food, illustration, people, produce & plant, scenery, vehicle, and world knowledge.
+
+## Links
+#### Dataset
+- [GEMRec-ModelCofferPromptbook](https://huggingface.co/datasets/NYUSHPRP/GEMRec-ModelCofferPromptBook): The full version of our GemRec-18k dataset (images & metadata).
+- [GEMRec-ModelCofferMetadata](https://huggingface.co/datasets/NYUSHPRP/GEMRec-ModelCofferMetadata): The pruned version of our GemRec-18k dataset (metadata only).
+- [GEMRec-ModelCofferRoster](https://huggingface.co/datasets/NYUSHPRP/GEMRec-ModelCofferRoster): The metadata for the 200 model checkpoints fetched from [Civitai](https://civitai.com/).
+
+#### Space
+- [GEMRec-ModelCofferGallery](https://huggingface.co/spaces/NYUSHPRP/GEMRec-ModelCofferGallery): Our web application for browsing and comparing the generated images.
+
+#### Github Code
+- [GEMRec](https://huggingface.co/datasets/NYUSHPRP/GEMRec-ModelCofferPromptBook/edit/main/README.md)
+
+
+## Acknowledgement
+This work was supported through the NYU High Performance Computing resources, services, and staff expertise.
+
+## Citation
+If you find our work helpful, please consider cite it as follows:
+```bibtex
+@article{guo2023towards,
+  title={Towards Personalized Prompt-Model Retrieval for Generative Recommendation},
+  author={Guo, Yuanhe and Liu, Haoming and Wen, Hongyi},
+  journal={arXiv preprint arXiv:2308.02205},
+  year={2023}
+}
+```