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---
dataset_info:
  features:
  - name: question_id
    dtype: string
  - name: question
    dtype: string
  - name: left_image
    dtype: image
  - name: right_image
    dtype: image
  - name: answer
    dtype: string
  - name: writer
    dtype: string
  - name: synset
    dtype: string
  - name: query
    dtype: string
  - name: identifier
    dtype: string
  - name: extra_validations
    dtype: string
  - name: left_url
    dtype: string
  - name: right_url
    dtype: string
  splits:
  - name: balanced_dev
    num_bytes: 488008399.0
    num_examples: 2300
  - name: balanced_test_public
    num_bytes: 507142965.656
    num_examples: 2316
  - name: balanced_test_unseen
    num_bytes: 409992570.832
    num_examples: 2124
  - name: unbalanced_dev
    num_bytes: 762577280.968
    num_examples: 3562
  - name: unbalanced_test_unseen
    num_bytes: 804486738.08
    num_examples: 3668
  - name: unbalanced_test_public
    num_bytes: 731416041.32
    num_examples: 3536
  download_size: 1879819700
  dataset_size: 3703623995.856
configs:
- config_name: default
  data_files:
  - split: balanced_dev
    path: data/balanced_dev-*
  - split: balanced_test_public
    path: data/balanced_test_public-*
  - split: balanced_test_unseen
    path: data/balanced_test_unseen-*
  - split: unbalanced_dev
    path: data/unbalanced_dev-*
  - split: unbalanced_test_unseen
    path: data/unbalanced_test_unseen-*
  - split: unbalanced_test_public
    path: data/unbalanced_test_public-*
---
# Dataset Card for "nlvr2"

<p align="center" width="100%">
<img src="https://i.postimg.cc/g0QRgMVv/WX20240228-113337-2x.png"  width="100%" height="80%">
</p>

# Large-scale Multi-modality Models Evaluation Suite

> Accelerating the development of large-scale multi-modality models (LMMs) with `lmms-eval`

🏠 [Homepage](https://lmms-lab.github.io/) | 📚 [Documentation](docs/README.md) | 🤗 [Huggingface Datasets](https://huggingface.co/lmms-lab)

# This Dataset

This is a formatted version of [NLVR2](https://lil.nlp.cornell.edu/nlvr/). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models.

```
@inproceedings{suhr2017corpus,
  title={A corpus of natural language for visual reasoning},
  author={Suhr, Alane and Lewis, Mike and Yeh, James and Artzi, Yoav},
  booktitle={Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  pages={217--223},
  year={2017}
}
```


[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)