Update README.md

README.md

@@ -1,3 +1,70 @@
----
-license: mit
----
+---
+license: mit
+task_categories:
+- text-classification
+language:
+- en
+tags:
+- creative problem solving
+- puzzles
+- fixation effect
+- large language models
+- only connect
+- quiz show
+- connecting walls
+pretty_name: Only Connect Wall Dataset
+size_categories:
+- n<1K
+---
+
+<h1>
+  <img alt="Alt text" src="./rh-moustouche-hat.jpg" style="display:inline-block; vertical-align:middle" />
+  Only Connect Wall (OCW) Dataset
+</h1>
+
+The Only Connect Wall (OCW) dataset contains 618 _"Connecting Walls"_ from the [Round 3: Connecting Wall](https://en.wikipedia.org/wiki/Only_Connect#Round_3:_Connecting_Wall) segment of the [Only Connect quiz show](https://en.wikipedia.org/wiki/Only_Connect), collected from 15 seasons' worth of episodes. Each wall contains the ground-truth __groups__ and __connections__ as well as recorded human performance. Please see [our paper](https://arxiv.org/abs/2306.11167) and [GitHub repo](https://github.com/TaatiTeam/OCW) for more details about the dataset and its motivations.
+
+## Usage
+
+```python
+# pip install datasets
+from datasets import load_dataset
+
+dataset = load_dataset("TaatiTeam/OCW")
+
+# The dataset can be used like any other HuggingFace dataset
+# E.g. get the wall_id of the first example in the train set
+dataset["train"]["wall_id"][0]
+# or get the words of the first 10 examples in the test set
+dataset["test"]["words"][0:10]
+```
+
+We also provide two different versions of the dataset where the red herrings in each wall have been significantly reduced (`ocw_randomized`) or removed altogether (`ocw_wordnet`) which can be loaded like:
+
+```python
+# pip install datasets
+from datasets import load_dataset
+
+ocw_randomized = load_dataset("TaatiTeam/OCW", "ocw_randomized")
+ocw_wordnet = load_dataset("TaatiTeam/OCW", "ocw_wordnet")
+```
+
+See [our paper](https://arxiv.org/abs/2306.11167) for more details.
+
+## 📝 Citing
+
+If you use the Only Connect dataset in your work, please consider citing our paper:
+
+```
+@article{alavi2024large,
+  title={Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset},
+  author={Alavi Naeini, Saeid and Saqur, Raeid and Saeidi, Mozhgan and Giorgi, John and Taati, Babak},
+  journal={Advances in Neural Information Processing Systems},
+  volume={36},
+  year={2024}
+}
+```
+
+## 🙏 Acknowledgements
+
+We would like the thank the maintainers and contributors of the fan-made and run website [https://ocdb.cc/](https://ocdb.cc/) for providing the data for this dataset. We would also like to thank the creators of the Only Connect quiz show for producing such an entertaining and thought-provoking show.