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This dataset contains a total of 7455 submissions, with 17% correct solutions and 32% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/979a09a0cd8c4e98dd0a690f3... See the included PDF document for details about the original challenge.
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This dataset contains a total of 2551 submissions, with 4% correct solutions and 53% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/59d4aae501fe4ced9ffbf3737... See the included PDF document for details about the original challenge.
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This dataset contains a total of 8547 submissions, with 9% correct solutions and 59% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/lemons/ See the included PDF document for details about the original challenge.
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This dataset contains a total of 1418 submissions, with 28% correct solutions and 30% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/ed8629419f140a5a2c923b049... See the included PDF document for details about the original challenge.
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This dataset contains a total of 4671 submissions, with 12% correct solutions and 24% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/d48ada9a7213299f1b24b22b2... See the included PDF document for details about the original challenge.
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This dataset contains product reviews and metadata from Amazon, including 142.8 million reviews spanning May 1996 - July 2014.
This dataset includes reviews (ratings, text, helpfulness votes), product metadata (descriptions, category information, price, brand, and image features), and links (also viewed/also bought graphs).
These data have been reduced to extract the k-core, such that each of the remaining users and items have k reviews each.
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Cyber Threat Intelligence (CTI) Quality Metrics Introduction
This dataset is part of the respective publication regarding the metrics of CTI quality.
License All datasets are available under a GNUv3 General Public License.
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Predicting the data transfer throughput of cloud networks plays an important role in several resource optimization applications, such as auto-scaling, replica selection, and load balancing. However, constant short-term variations in cloud networks make the prediction of end-to-end data transfer throughput a very challenging task.
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This dataset contains image masks from KiTTy obtained by running SAM. In the future, it is planned to add other masks from OpenSEED, SEEM, SAM (new version).
The study is carried out in order to study segmentation on point clouds
This dataset contains image masks from KiTTy obtained by running SAM. In the future, it is planned to add other masks from OpenSEED, SEEM, SAM (new version).
The study is carried out in order to study segmentation on point clouds
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The Customer log dataset is a 12.5 GB JSON file and it contains 18 columns and 26,259,199 records. There are 12 string columns and 6 numeric columns, which may also contain null or NaN values. The columns include userId, artist, auth, firstName, gender, itemInSession, lastName, length, level, location, method, page, registration, sessionId, song,status, ts and userAgent.
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