Update README.md

README.md

@@ -17,3 +17,35 @@ configs:
   - split: train
     path: data/train-*
 ---
+# Copali train split used in MoCa Continual Pre-training
+
+[🏠 Homepage]() | [🤖 MoCa-Qwen25VL-7B]() | [🤖 MoCa-Qwen25VL-3B]() | [💻 Code](https://github.com/haon-chen/MoCa) | [📄 Arxiv]() | [📕 PDF]()
+
+## Introduction
+
+This is a interleaved multimodal pre-training dataset used in the modality-aware continual pre-training of MoCa models. It is adapted from [Copali](https://huggingface.co/datasets/Tevatron/colpali) and its [corpus](https://huggingface.co/datasets/Tevatron/colpali-corpus) by concatenating queries and positive documents.
+
+The dataset consists of interleaved multimodal examples. text is a string containing text while images are image binaries that can be loaded with the following code snippet:
+
+```python
+import PIL.Image
+from io import BytesIO
+
+image_bytes = example['images'][0]
+image = PIL.Image.open(BytesIO(image_bytes))
+```
+
+
+## Citation
+MoCa
+
+Colpali
+
+```
+@inproceedings{faysse2024colpali,
+  title={Colpali: Efficient document retrieval with vision language models},
+  author={Faysse, Manuel and Sibille, Hugues and Wu, Tony and Omrani, Bilel and Viaud, Gautier and Hudelot, C{\'e}line and Colombo, Pierre},
+  booktitle={The Thirteenth International Conference on Learning Representations},
+  year={2024}
+}
+```