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  download_size: 3732550490
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  dataset_size: 5537894995
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  ---
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- # Dataset Card for "unconstrained_language"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  download_size: 3732550490
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  dataset_size: 5537894995
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  ---
 
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+ # Dataset Card for unconstrained_language
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Citation Information](#additional-information)
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+ - [Citation Information](#citation-information)
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+
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+
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+ ## Dataset Description
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+
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+ - **Paper: https://arxiv.org/abs/2305.17266**
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+ - **Point of Contact: vijeta_deshpande@student.uml.edu**
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+
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+ ### Dataset Summary
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+
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+ This dataset is one of the two datasets published by "Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale" (https://arxiv.org/abs/2305.17266).
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+ The dataset available at this link is the pre-training data **not** constrained by any predefined vocabulary. The other published data i.e. the pre-training data that is constrained by vocabulary is available at https://huggingface.co/datasets/text-machine-lab/constrained_language.
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+
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+ This dataset is curated by randomly sampling text spans (of an approximate length of 128 tokens) from the following corpora,
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+ - C4: https://arxiv.org/abs/1910.10683,
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+ - BookCorpus: https://ieeexplore.ieee.org/document/7410368,
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+ - Wikipedia: https://huggingface.co/datasets/wikipedia,
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+ - Simplified-Wikipedia: https://simple.wikipedia.org/wiki/Main_Page,
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+ - Children's Book Test Corpus: https://arxiv.org/abs/1511.02301
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+
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+ The dataset includes ~9 million contiguous spans, each with approximately 128 tokens.
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+
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+ ### Languages
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+
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+ The dataset contains the English language only.
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+
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+ ## Dataset Structure
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+
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+ The dataset is available in the arrow dataset format with three splits namely, train, validation, and test. Every data instance has only one key "Text" that included a text span of approximately 128 tokens.
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+
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+ ### Citation Information
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+
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+ ```sh
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+ @article{deshpande2023honey,
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+ title={Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale},
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+ author={Deshpande, Vijeta and Pechi, Dan and Thatte, Shree and Lialin, Vladislav and Rumshisky, Anna},
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+ journal={arXiv preprint arXiv:2305.17266},
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+ year={2023}
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+ }
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+ ```