{"description": "Books are a rich source of both fine-grained information, how a character, an object or a scene looks like, as well as high-level semantics, what someone is thinking, feeling and how these states evolve through a story.This work aims to align books to their movie releases in order to providerich descriptive explanations for visual content that go semantically farbeyond the captions available in current datasets. ", "citation": "@InProceedings{Zhu_2015_ICCV,\n    title = {Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books},\n    author = {Zhu, Yukun and Kiros, Ryan and Zemel, Rich and Salakhutdinov, Ruslan and Urtasun, Raquel and Torralba, Antonio and Fidler, Sanja},\n    booktitle = {The IEEE International Conference on Computer Vision (ICCV)},\n    month = {December},\n    year = {2015}\n}\n", "homepage": "https://yknzhu.wixsite.com/mbweb", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "bookcorpus", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4835329162, "num_examples": 74004228, "dataset_name": "bookcorpus"}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/bookcorpus/bookcorpus.tar.bz2": {"num_bytes": 1179510242, "checksum": "03a29333b2b35e98a375b6ad7d2f1651835655cd348fb89c864136bce69a964c"}}, "download_size": 1179510242, "post_processing_size": null, "dataset_size": 4835329162, "size_in_bytes": 6014839404}