Update dataset.md (#314)

* Update datasets.md

* Update datasets.md

docs/datasets.md

@@ -22,3 +22,17 @@ The dataset is proposed for super-resolution tasks. We use the dataset for HQ fi
 [HD-VG-130M](https://github.com/daooshee/HD-VG-130M?tab=readme-ov-file) comprises 130M text-video pairs. 
 The caption is generated by BLIP-2. 
 We find the scene and the text quality are relatively poor. For OpenSora 1.0, we only use ~350K samples from this dataset.
+
+## Midjourney-v5-1.7M
+[Midjourney-v5-1.7M](https://huggingface.co/datasets/wanng/midjourney-v5-202304-clean) includes 1.7M image-text pairs.
+In detail, this dataset introduces two subsets: original and upscale.
+This dataset is proposed for exploring the relationship of prompts and high-quality images.
+
+## Midjourney-kaggle-clean
+[Midjourney-kaggle-clean](https://huggingface.co/datasets/wanng/midjourney-kaggle-clean) is a reconstructed version of [Midjourney User Prompts & Generated Images (250k)](https://www.kaggle.com/datasets/succinctlyai/midjourney-texttoimage?select=general-01_2022_06_20.json%5D), which is cleaned by rules.
+Moreover, this dataset is divided into two subsets: original and upscale.
+This dataset is proposed for enabling research on text-to-image model prompting.
+
+## upsplash-lite
+The [Unsplash-lite](https://github.com/unsplash/datasets) Dataset comprises 25k nature-themed Unsplash photos, 25k keywords, and 1M searches. 
+This dataset covers a vast range of uses and contexts. Its extensive scope in intent and semantics opens new avenues for research and learning.