datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ComicsPAP
Comics: Pick-A-Panel
Updated val and test on 25/02/2025
This is the dataset for the ICDAR 2025 Competition on Comics Understanding in the Era of Foundational Models.
Please, check out our 🚀 arxiv paper 🚀 for more information 😊
The competition is hosted in the Robust Reading Competition website and the leaderboard is available here.
The dataset contains five subtask or skills:
Sequence Filling
Given a sequence of comic panels, a missing panel, and a set of option panels, the… See the full description on the dataset page: https://huggingface.co/datasets/VLR-CVC/ComicsPAP.ComicsPAP
Comics: Pick-A-Panel
Updated val and test on 25/02/2025
This is the dataset for the ICDAR 2025 Competition on Comics Understanding in the Era of Foundational Models.
Please, check out our 🚀 arxiv paper 🚀 for more information 😊
The competition is hosted in the Robust Reading Competition website and the leaderboard is available here.
The dataset contains five subtask or skills:
Sequence Filling
Given a sequence of comic panels, a missing panel, and a set of option panels, the… See the full description on the dataset page: https://huggingface.co/datasets/ansabgillani/ComicsPAP.comics_dataset_lineart_1024comicstrips-gpt4o-blip3
Comic Strips
Dataset Details
Dataset Description
This dataset contains indie comics from Reddit, then captioned with GPT4o and BLIP3.
Currently, only the GPT4o captions are available in this repository. The BLIP3 captions will be uploaded soon.
Roughly 1400 images were captioned at a cost of ~$11 using GPT4o (25 May 2024 version).
Curated by: @pseudoterminalx
Funded by @pseudoterminalx
License: MIT
Dataset Sources
Unlike other free-to-use… See the full description on the dataset page: https://huggingface.co/datasets/bghira/comicstrips-gpt4o-blip3.ComicsPonyXLcomics_dataset_512_inv_manga_correctedcomics_orig_lineartcomics_dataset_512comics_dataset_512_orig_reduced_ip2pcomics_dataset_512_inv_mangacomics_dataset_512_invComicsQA
ComicsQA
This prepared dataset part is all.
qa: natural-language question answering over full comic books.
bounding_box_qa: localization questions with page number and panel bounding-box annotations.
Each question record includes a book_pages field containing all page image
paths for the corresponding comic book.
Files
data/qa.jsonl
data/books_qa.jsonl
data/qa_asset_patterns.txt
data/bounding_box_qa.jsonl
data/books_bbox.jsonl
data/bbox_asset_patterns.txt… See the full description on the dataset page: https://huggingface.co/datasets/Amrit2412/ComicsQA.ComicSet