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Rowan/vcr

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.… See the full description on the dataset page: https://huggingface.co/datasets/Rowan/vcr.

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Dataset Card

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.