Dataset documentation and intended uses. Recommended documentation frameworks include datasheets for datasets, dataset nutrition labels, data statements for NLP, and accountability frameworks. Author statement that they bear all responsibility in case of violation of rights, etc., and Links to access the dataset and its metadata. Simulation environments should link to (open source) code repositories. The dataset itself should ideally use an open and widely used data format.

This highlights an urgent need of contributions from the machine learning community.

The Kremlin has "strongly" rejected an assessment by five European countries that the Russian state killed jailed opposition leader Alexey Navalny by poisoning him. Navalny, President Vladimir Putin's fiercest domestic opponent for years, died in an Arctic prison colony on February 16, 2024 while serving a 19-year sentence for "extremism", a charge he and his supporters said was punishment for his opposition work. "We naturally do not accept such accusations. We consider them biased and baseless," Kremlin spokesman Dmitry Peskov told reporters during a daily briefing call on Monday. "In fact, we strongly reject them," he added.

As recommended by the NeurIPS dataset and benchmark track, we documented QM1B and intended uses through the Datasheets for Datasets framework [1]. The goal of dataset datasheets as outlined by [1] is to provide a standardized process for documentating datasets. The authors of [1] present a list of carefully selected questions which dataset authors should answer. We hope our answers to these questions will facilitate better communication between us (the dataset creators) and future users of QM1B. For what purpose was the dataset created? Prior gaussian-based Density Functional Theory (DFT) datasets contained fewer than 20 million training examples.