| | --- |
| | 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. |
