Datasets:
Tasks:
Feature Extraction
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Update README.md
Browse files
README.md
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num_examples: 79059
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download_size: 54972667
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dataset_size: 83865723
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---
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# Dataset Card for "common_words_79k"
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num_examples: 79059
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download_size: 54972667
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dataset_size: 83865723
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task_categories:
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- feature-extraction
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language:
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- en
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pretty_name: common-words-79k
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size_categories:
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- 1K<n<10K
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---
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# Dataset Description
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"Common Words 79K" (common-words-79k) contains 79,059 words and phrases, along with some sentences from Wikipedia that include these words and phrases.
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It is derived from the following resources:
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- 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.
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- We then include words that met the second criterion from an [English wordlist](https://www.npmjs.com/package/wordlist-english).
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- We collect word frequency data from the English Wikipedia for all the words and phrases above.
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# Data Instances
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Example of data instance from the dataset:
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```
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{'alias': 'newborn_infant',
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'frequency': 157,
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'sentences': [
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'It is also recited as a prayer for protection of a newborn infant.',
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'The newborn infant was named Sawai Madhavrao.',
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'Jocasta handed the newborn infant over to Laius.',
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"Spider-Man manages to save them and rescue Lily's newborn infant from the supervillains.",
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'After her newborn infant died, Alison Langdon mutilated herself while deeply depressed.',
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...,
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'The newborn infant was named \'Sawai\' Madhavrao ("Sawai" means "One and a Quarter").'
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]
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}
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```
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# How to Use
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```python
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from datasets import load_dataset
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# Load the dataset
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common_words = load_dataset("jaagli/common-words-79k", split="whole")
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```
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# Citation
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```
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@misc{li2024visionlanguagemodelsshare,
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title={Do Vision and Language Models Share Concepts? A Vector Space Alignment Study},
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author={Jiaang Li and Yova Kementchedjhieva and Constanza Fierro and Anders Søgaard},
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year={2024},
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eprint={2302.06555},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2302.06555},
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}
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```
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