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用于评估自然语言理解模型的“叙事” fMRI 数据集。

The "Narratives" fMRI dataset for evaluating models of naturalistic language comprehension.

机构信息

Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ, USA.

Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, USA.

出版信息

Sci Data. 2021 Sep 28;8(1):250. doi: 10.1038/s41597-021-01033-3.

Abstract

The "Narratives" collection aggregates a variety of functional MRI datasets collected while human subjects listened to naturalistic spoken stories. The current release includes 345 subjects, 891 functional scans, and 27 diverse stories of varying duration totaling 4.6 hours of unique stimuli (43,000 words). This data collection is well-suited for naturalistic neuroimaging analysis, and is intended to serve as a benchmark for models of language and narrative comprehension. We provide standardized MRI data accompanied by rich metadata, preprocessed versions of the data ready for immediate use, and the spoken story stimuli with time-stamped phoneme- and word-level transcripts. All code and data are publicly available with full provenance in keeping with current best practices in transparent and reproducible neuroimaging.

摘要

“叙事”集合汇总了多种功能磁共振成像数据集,这些数据集是在人类受试者听自然语言故事时收集的。当前版本包括 345 个被试、891 次功能扫描和 27 个不同时长的故事,总共有大约 4.6 小时的独特刺激物(约 43000 个单词)。这个数据集非常适合自然语言神经影像分析,旨在为语言和叙事理解模型提供基准。我们提供标准化的 MRI 数据,并附有丰富的元数据,预处理版本的数据可立即使用,以及带有时间戳的音素和单词级转录的口语故事刺激物。所有代码和数据都具有完整的出处,并遵循透明和可重复神经影像学的当前最佳实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e1/8479122/ea1d16ee7463/41597_2021_1033_Fig1_HTML.jpg

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