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README.md
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---
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language:
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- en
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dataset_info:
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- split: train
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path: data/train-*
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---
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pretty_name: OpenWebText-Sentences
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license:
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- cc0-1.0
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language:
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- en
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dataset_info:
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- split: train
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path: data/train-*
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---
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# OpenWebText-Sentences Dataset
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## Overview
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This dataset is derived from the popular OpenWebText dataset ([see here](https://huggingface.co/datasets/Skylion007/openwebtext)). It contains the same text content as the original OpenWebText, but split into individual sentences.
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## Key Features
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- Content: All text from the original OpenWebText dataset
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- Format: Sentences are stored individually now in parquet format for faster access
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- Order: Maintains all original OpenWebText text and the order thereof
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- Tokenization: Sentences were split using NLTK 3.9.1 pre-trained "Punkt" tokenizer for English ([see here](https://www.nltk.org/api/nltk.tokenize.punkt.html))
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## OpenWebText-Sentences Information
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- Size: 25.7 GB (generated dataset)
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- Number of sentences: 307,432,490
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- Language: English
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## OpenWebText Information
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- Size: 41.70 GB (generated dataset)
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- Number of documents: 8,013,769
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- Language: English
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## Citation
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When using this dataset, please cite the original OpenWebText corpus:
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```bibtex
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@misc{Gokaslan2019OpenWeb,
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title={OpenWebText Corpus},
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author={Gokaslan, Aaron and Cohen, Vanya and Pavlick, Ellie and Tellex, Stefanie},
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howpublished={\url{http://Skylion007.github.io/OpenWebTextCorpus}},
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year={2019}
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}
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