Datasets:
Formats:
json
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
audio-description
video-accessibility
blind-and-low-vision
multimodal-evaluation
user-generated-video
inline-audio-description
License:
Download CITATION.bib from google/mind-the-gap-inline-ad: direct link, hf CLI and curl.
- Browser
- Download file 464 Bytes
-
https://huggingface.co/datasets/google/mind-the-gap-inline-ad/resolve/main/CITATION.bib
- Command line
-
hf download hf://datasets/google/mind-the-gap-inline-ad/CITATION.bib
-
curl -L -o CITATION.bib https://huggingface.co/datasets/google/mind-the-gap-inline-ad/resolve/main/CITATION.bib
464 Bytes
| @inproceedings{venugopalan2026mindthegap, | |
| title = {Mind The Gap ({MTG-AD}): Dataset and Fine-grained Evaluation for End-to-End Inline Audio Descriptions}, | |
| author = {Venugopalan, Subhashini and Tan, Jenny and Roper, Taylor and Tobin, Jimmy and | |
| Kast, Anton and Martin, Alicia and Sepah, Sam and Pavel, Amy}, | |
| booktitle = {Advances in Neural Information Processing Systems (NeurIPS), Evaluations and Datasets Track}, | |
| year = {2026} | |
| } | |