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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ task_categories:
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+ - text-classification
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+ language:
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+ - en
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+ tags:
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+ - creative problem solving
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+ - puzzles
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+ - fixation effect
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+ - large language models
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+ - only connect
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+ - quiz show
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+ - connecting walls
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+ pretty_name: Only Connect Wall Dataset
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ <h1>
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+ <img alt="Alt text" src="./rh-moustouche-hat.jpg" style="display:inline-block; vertical-align:middle" />
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+ Only Connect Wall (OCW) Dataset
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+ </h1>
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+
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+ 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.
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+
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+ ## Usage
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+
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+ ```python
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+ # pip install datasets
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("TaatiTeam/OCW")
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+
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+ # The dataset can be used like any other HuggingFace dataset
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+ # E.g. get the wall_id of the first example in the train set
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+ dataset["train"]["wall_id"][0]
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+ # or get the words of the first 10 examples in the test set
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+ dataset["test"]["words"][0:10]
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+ ```
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+
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+ 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:
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+
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+ ```python
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+ # pip install datasets
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+ from datasets import load_dataset
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+
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+ ocw_randomized = load_dataset("TaatiTeam/OCW", "ocw_randomized")
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+ ocw_wordnet = load_dataset("TaatiTeam/OCW", "ocw_wordnet")
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+ ```
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+
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+ See [our paper](https://arxiv.org/abs/2306.11167) for more details.
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+
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+ ## 📝 Citing
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+
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+ If you use the Only Connect dataset in your work, please consider citing our paper:
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+
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+ ```
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+ @article{alavi2024large,
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+ title={Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset},
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+ author={Alavi Naeini, Saeid and Saqur, Raeid and Saeidi, Mozhgan and Giorgi, John and Taati, Babak},
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+ journal={Advances in Neural Information Processing Systems},
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+ volume={36},
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+ year={2024}
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+ }
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+ ```
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+
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+ ## 🙏 Acknowledgements
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+
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+ 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.