Create README.md

README.md

@@ -1,34 +1,15 @@
----
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: qa_pairs
-    sequence:
-      sequence: string
-  - name: words
-    list:
-    - name: id
-      dtype: int64
-    - name: bbox
-      sequence:
-        sequence: int64
-    - name: text
-      dtype: string
-    - name: confidence
-      dtype: float64
-  splits:
-  - name: train
-    num_bytes: 23470234314.0
-    num_examples: 100000
-  download_size: 19344585733
-  dataset_size: 23470234314.0
----
-# Dataset Card for "WKVVQA"
+## Cream🍦: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+For more information, please visit https://github.com/naver-ai/cream
+
+## How to Cite
+
+If you find this work useful to you, please cite:
+```
+@inproceedings{kim2023cream,
+      title={Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models}, 
+      author={Geewook Kim and Hodong Lee and Daehee Kim and Haeji Jung and Sanghee Park and Yoonsik Kim and Sangdoo Yun and Taeho Kil and Bado Lee and Seunghyun Park},
+      booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing},
+      year={2023},
+}
+```