Update README.md

README.md

@@ -32,7 +32,7 @@ This dataset is for ["2.5 Years in Class: A Multimodal Textbook for Vision-Langu
 - Our code can be found in [Multimodal-Textbook](https://github.com/DAMO-NLP-SG/multimodal_textbook/tree/master).
 
 
-Note: We have uploaded the annotation file （`./multimodal_textbook.json`）, which contains processed asr and ocr texts. Keyframes (`./dataset_images_interval_7.tar.gz`) are still being processed and uploading due to their large size. For more details, please refer to [Using Our Dataset](#using-our-dataset)
+Note: We have uploaded the annotation file （`./multimodal_textbook.json`）, which contains processed asr and ocr texts. Keyframes (`./dataset_images_interval_7.tar.gz`) are still being processed and uploading due to their large size (be split into 20 sub-files). For more details, please refer to [Using Our Dataset](#using-our-dataset)
 
 
 <img src="./src/page_fig.png" alt="Image" style="width: 900px;">  
@@ -87,7 +87,7 @@ Then we extract 6.5M keyframes and 0.75B text (ASR+OCR) tokens from these videos
 ### Dataset
 We provide the json file and corresponding images folder for textbook: 
 - Dataset json-file: `./multimodal_textbook.json` (610k samples ~ 11GB)
-- Dataset image_folder: `./dataset_images_interval_7.tar.gz` (6.5M image ~ 700GB)  (**Due to its large size, it is still being processed and will be uploaded soon**)
+- Dataset image_folder: `./dataset_images_interval_7.tar.gz` (6.5M image ~ 600GB)  (**Due to its large size, we split it into 20 sub-files, and it is still being processed and will be uploaded soon.**)
 - videometa_data: `video_meta_data/video_meta_data1.json` and `video_meta_data/video_meta_data2.json` represent the meta information of crawled videos, including video vid, title, description, duration, language, and searched knowledge points. `multimodal_textbook_meta_data.json.zip` records the textbook in its original format, not in the OBELICS format.
 
 Each sample has approximately 10.7 images and 1927 text tokens. After you download and unzip the folder, you need to replace the each image path in json file (`/mnt/workspace/zwq_data/interleaved_dataset/`) with your personal image folder path.