| --- |
| license: other |
| pretty_name: "VCR v1.0" |
| task_categories: |
| - visual-question-answering |
| - image-to-text |
| tags: |
| - image |
| - visual-commonsense-reasoning |
| - vcr |
| - r2c |
| - arxiv:1811.10830 |
| configs: |
| - config_name: image_examples |
| data_files: |
| - split: train |
| path: image_examples/train-*.parquet |
| - split: validation |
| path: image_examples/validation-*.parquet |
| - split: test |
| path: image_examples/test-*.parquet |
| default: true |
| - config_name: questions |
| data_files: |
| - split: train |
| path: questions/train-*.parquet |
| - split: validation |
| path: questions/validation-*.parquet |
| - split: test |
| path: questions/test-*.parquet |
| --- |
| |
| # VCR v1.0 |
|
|
| VCR is the Visual Commonsense Reasoning dataset from "From Recognition to Cognition: Visual Commonsense Reasoning" (CVPR 2019). |
|
|
| This Hugging Face version has two loadable configs: |
|
|
| - `image_examples`: the default viewer-friendly config, one row per unique image, with grouped annotations. |
| - `questions`: one row per original VCR question/answer/rationale example. |
|
|
| The original annotation JSONL files are also included under `original_annotations/` for legacy compatibility. |
|
|
| ## License and terms |
|
|
| Use of VCR is governed by the original VCR/AI2 dataset license and website terms: |
|
|
| - https://visualcommonsense.com/license/ |
| - https://visualcommonsense.com/terms/ |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{zellers2019vcr, |
| author = {Zellers, Rowan and Bisk, Yonatan and Farhadi, Ali and Choi, Yejin}, |
| title = {From Recognition to Cognition: Visual Commonsense Reasoning}, |
| booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, |
| month = {June}, |
| year = {2019} |
| } |
| ``` |
|
|
| ## Content warning |
|
|
| VCR is annotated from movie images and may contain nudity, violence, offensive content, and biased or problematic depictions. |
|
|
