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Information about this dataset's format is available in the HuggingFace dataset card and the project's website. The dataset can be downloaded here, and the rejected data here. 2016 [344] Paperno et al. FLAN A re-preprocessed version of the FLAN dataset with updates since the original FLAN dataset was released is available in Hugging Face: test data
Hugging Face, Inc. is an American company incorporated under the Delaware General Corporation Law [1] and based in New York City that develops computation tools for building applications using machine learning.
363 billion token dataset based on Bloomberg's data sources, plus 345 billion tokens from general purpose datasets [66] Proprietary Trained on financial data from proprietary sources, for financial tasks. PanGu-Σ: March 2023: Huawei: 1085: 329 billion tokens [67] Proprietary OpenAssistant [68] March 2023: LAION: 17: 1.5 trillion tokens Apache 2.0
BigScience was led by HuggingFace and involved several hundreds of researchers and engineers from France and abroad representing both the academia and the private sector. BigScience was supported by a large-scale public compute grant on the French public supercomputer Jean Zay, managed by GENCI and IDRIS ( CNRS ), on which it was trained.
The Pile is an 886.03 GB diverse, open-source dataset of English text created as a training dataset for large language models (LLMs). It was constructed by EleutherAI in 2020 and publicly released on December 31 of that year. [1] [2] It is composed of 22 smaller datasets, including 14 new ones. [1]
Donald Trump's pick for Commerce secretary underlined that big and broad tariffs are top of mind both for him and the president during his confirmation hearing Wednesday.
GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. [3] [4] [5] GPT-2 was created as a "direct scale-up" of GPT-1 [6] with a ten-fold increase in both its parameter count and the size of its training dataset. [5]
Pennsylvania’s Punxsutawney Phil might be the most well-known weather-predicting groundhog, but a new list casts doubt on his accuracy.Phil did so poorly that even nonliving critters outshine ...