---
configs:
- config_name: default
  data_files:
  - split: whole
    path: data/whole-*
dataset_info:
  features:
  - name: alias
    dtype: string
  - name: frequency
    dtype: int64
  - name: sentences
    sequence: string
  splits:
  - name: whole
    num_bytes: 83865723
    num_examples: 79059
  download_size: 54972667
  dataset_size: 83865723
task_categories:
- feature-extraction
language:
- en
pretty_name: common-words-79k
size_categories:
- 1K<n<10K
---

# Dataset Description

"Common Words 79K" (common-words-79k) contains 79,059 words and phrases, along with some sentences from Wikipedia that include these words and phrases. 
It is derived from the following resources: 

- We select classes from ImageNet-21K based on two criteria: (1) each class contains over 100 available images, and (2) the class names appear at least five times in Wikipedia. 
- We then include words that met the second criterion from an [English wordlist](https://www.npmjs.com/package/wordlist-english).
- We collect word frequency data from the English Wikipedia for all the words and phrases above.


# Data Instances


Example of data instance from the dataset:

```
{'alias': 'newborn_infant',
'frequency': 157,
'sentences': [
'It is also recited as a prayer for protection of a newborn infant.',
'The newborn infant was named Sawai Madhavrao.',
'Jocasta handed the newborn infant over to Laius.',
"Spider-Man manages to save them and rescue Lily's newborn infant from the supervillains.",
'After her newborn infant died, Alison Langdon mutilated herself while deeply depressed.',
...,
'The newborn infant was named \'Sawai\' Madhavrao ("Sawai" means "One and a Quarter").'
  ]
}

```


# How to Use

```python
from datasets import load_dataset

# Load the dataset
common_words = load_dataset("jaagli/common-words-79k", split="whole")
```

# Citation

```
@misc{li2024visionlanguagemodelsshare,
      title={Do Vision and Language Models Share Concepts? A Vector Space Alignment Study}, 
      author={Jiaang Li and Yova Kementchedjhieva and Constanza Fierro and Anders Søgaard},
      year={2024},
      eprint={2302.06555},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2302.06555}, 
}
```