---
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.