metadata

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

Only Connect Wall (OCW) Dataset

The Only Connect Wall (OCW) dataset contains 618 "Connecting Walls" from the Round 3: Connecting Wall segment of the Only Connect quiz show, 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 and GitHub repo for more details about the dataset and its motivations.

Usage

# 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:

# 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 for more details.

📝 Citing

If you use the Only Connect dataset in your work, please consider citing our paper:

@article{Naeini2023LargeLM,
    title        = {Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset},
    author       = {Saeid Alavi Naeini and Raeid Saqur and Mozhgan Saeidi and John Giorgi and Babak Taati},
    year         = 2023,
    journal      = {ArXiv},
    volume       = {abs/2306.11167},
    url          = {https://api.semanticscholar.org/CorpusID:259203717}
}

🙏 Acknowledgements

We would like the thank the maintainers and contributors of the fan-made and run website 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.