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This dataset provides masked sentences and multi-token phrases that were masked-out of these sentences. We offer 3 datasets: a general purpose dataset extracted from the Wikipedia and Books corpora, and 2 additional datasets extracted from pubmed abstracts. As for the pubmed data, please be aware that the dataset does not reflect the most current/accurate data available from NLM (it is not being updated). For these datasets, the columns provided for each datapoint are as follows: text- the original sentence span- the span (phrase) which is masked out span_lower- the lowercase version of span range- the range in the text string which will be masked out (this is important because span might appear more than once in text) freq- the corpus frequency of span_lower masked_text- the masked version of text, span is replaced with [MASK] Additinaly, we provide a small (3K) dataset with human annotations.

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Amazon Berkeley Objects (ABO) is a collection of 147,702 product listings with multilingual metadata and 398,212 unique catalog images. 8,222 listings come with turntable photography (also referred as "spin" or "360º-View" images), as sequences of 24 or 72 images, for a total of 586,584 images in 8,209 unique sequences. For 7,953 products, the collection also provides high-quality 3d models, as glTF 2.0 files.

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The AWS Public Blockchain Data provide datasets from the Bitcoin and Ethereum blockchains. The blockchain data is transformed into multiple tables as compressed Parquet files partitioned by date to allow efficient access for most common analytics queries.

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The first large public body measurement dataset including 8978 frontal and lateral silhouettes for 2505 real subjects, paired with height, weight and 14 body measurements. The following artifacts are made available for each subject. Subject Height Subject Weight Subject Gender Two black-and-white silhouette images of subject standing in frontal and side pose respectively with full body in view. 14 body measurements in cm - {ankle girth, arm-length, bicep girth, calf girth, chest girth, forearm girth, height, hip girth, leg-length, shoulder-breadth, shoulder-to-crotch length, thigh girth, waist girth, wrist girth} The data is split into 3 sets - Training, Test Set A, Test Set B. For the training and Test-A sets, subjects are photographed and 3D-scanned by in a lab by technicians. For the Test-B set, subjects are scanned in the lab, but photographed in a less-contro[...]

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Large-scale node-weighted conflict graphs for maximum weight independent set solvers

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This a Parquet representation of the Open Targets Platform's latest export. The Open Targets Platform integrates evidence from genetics, genomics, transcriptomics, drugs, animal models and scientific literature to score and rank target-disease associations for drug target identification. The Open Targets Platform (https://www.targetvalidation.org) is a freely available resource for the integration of genetics, genomics, and chemical data to aid systematic drug target identification and prioritisation. This dataset is 'Lakehouse Ready'. Meaning, you can query this data in-place straight out of the Registry of Open Data S3 bucket. Deploy this dataset's corresponding CloudFormation template to create the A[...]

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The Product Comparison dataset for online shopping is a new, manually annotated dataset with about 15K human generated sentences, which compare related products based on one or more of their attributes (the first such data we know of for product comparison). It covers ∼8K product sets, their selected attributes, and comparison texts.

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The Genome Aggregation Database (gnomAD) is a resource developed by an international coalition of investigators that aggregates and harmonizes both exome and genome data from a wide range of large-scale human sequencing projects Sign up for the gnomAD mailing list here. This dataset was derived from summary data from gnomAD release 3.1, available on the Registry of Open Data on AWS for ready enrollment into the Data Lake as Code.

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This dataset provides product related questions, including their textual content and gap, in hours, between purchase and posting time. Each question is also associated with related product details, including its id and title.

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This dataset is part of the paper "McPhraSy: Multi-Context Phrase Similarity and Clustering" by DN Cohen et al (2022). The purpose of PCD is to evaluate the quality of semantic-based clustering of noun phrases. The phrases were collected from the [Amazon Review Dataset] (https://nijianmo.github.io/amazon/).