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Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.98/ Abstract: Large language models have led to remarkable progress on many NLP tasks, and researchers are turning to ever-larger text corpora to train them. Some of the largest corpora available are made by scraping significant portions of the internet, and are frequently introduced with only minimal documentation. In this work we provide some of the first documentation for the Colossal Clean Crawled Corpus (C4; Raffel et al., 2020), a dataset created by applying a set of filters to a single snapshot of Common Crawl. We begin by investigating where the data came from, and find a significant amount of text from unexpected sources like patents and US military websites. Then we explore the content of the text itself, and find machine-generated text (e.g., from machine translation systems) and evaluation examples from other benchmark NLP datasets. To understand the impact of the filters applied to create this dataset, we evaluate the text that was ...
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Keyword:
Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
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URL: https://dx.doi.org/10.48448/h1t8-2389 https://underline.io/lecture/37940-documenting-large-webtext-corpora-a-case-study-on-the-colossal-clean-crawled-corpus
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Explaining NLP Models via Minimal Contrastive Editing (MiCE) ...
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Measuring Association Between Labels and Free-Text Rationales ...
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Promoting Graph Awareness in Linearized Graph-to-Text Generation ...
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Deep Learning With Sentiment Inference For Discourse-Oriented Opinion Analysis ...
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Deep Learning With Sentiment Inference For Discourse-Oriented Opinion Analysis
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Multilingual Modal Sense Classification using a Convolutional Neural Network [Source Code] ...
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Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning ...
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A Mention-Ranking Model for Abstract Anaphora Resolution ...
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Multilingual Modal Sense Classification using a Convolutional Neural Network ...
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