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README.md
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download_size: 3732550490
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dataset_size: 5537894995
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# Dataset Card for "unconstrained_language"
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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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## 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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## Dataset Description
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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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### Dataset Summary
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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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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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The dataset includes ~9 million contiguous spans, each with approximately 128 tokens.
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### Languages
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The dataset contains the English language only.
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## Dataset Structure
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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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### Citation Information
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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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```
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