README.md

---
task_categories:
- image-to-text
- text-generation
language:
- en
tags:
- story
- multimodal
- nlg
- generation
- storytelling
- multimodality
- narrative
- movie-shot
pretty_name: vwp
size_categories:
- 10K<n<100K
configs:
- config_name: default
  data_files:
    - split: train
      path: "vwp_v2.0_train.csv"
    - split: val
      path: "vwp_v2.0_val.csv"
    - split: test
      path: "vwp_v2.0_test.csv"
  default: true
---


### Disclaimer: 
 All the images are extracted from the movie shots from the MovieNet dataset (https://opendatalab.com/OpenDataLab/MovieNet/tree/main/raw). The copyrights of all movie shots belongs to the original copyright holders which can be find in the IMDb page of each movie. The IMDb page is idicated by the index in the ```imdb_id``` column. For example, for the first row of our data, the ```imdb_id``` is ```tt0112573``` so the corresponding imdb page is https://www.imdb.com/title/tt0112573/companycredits/. Do not violate the copyrights while using these images. We only use these images for academic purposes. Please contact the author if you have any questions.