Update README.md

README.md

@@ -86,7 +86,7 @@ Then we extract 6.5M keyframes and 0.75B text (ASR+OCR) tokens from these videos
 ## Using Multimodal Textbook
 ### Description of Dataset
 We provide the annotation file (json file) and corresponding images folder for textbook: 
-- Dataset json-file: `./multimodal_textbook.json` (600k samples ~ 11GB)
+- Dataset json-file: `./multimodal_textbook.json` (600k samples ~ 11GB) and `multimodal_textbook_face_v1_th0.04.json`
 - 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 as `dataset_images_interval_7.tar.gz.part_00, dataset_images_interval_7.tar.gz.part_01, ...`**)
 - Videometa_data: `video_meta_data/video_meta_data1.json` and `video_meta_data/video_meta_data2.json` contains the meta information of the collected videos, including video vid, title, description, duration, language, and searched knowledge points. Besides, we also provide `multimodal_textbook_meta_data.json.zip` records the textbook in its video format, not in the OBELICS format.
 
@@ -114,7 +114,7 @@ This means that this image is extracted from the video (`-1uixJ1V-As`). It is th
 
 
 ### Learning about annotation file
-The format of each sample in `multimodal_textbook.json` is as follows, that is, images and texts are interleaved: 
+The format of each sample in `multimodal_textbook_face_v1_th0.04.json` is as follows, that is, images and texts are interleaved: 
 
 ```
 "images": [