Data set of 26/11 Mumbai attack is based on Mumbai Terrorist Attacks 2008 India Ministry of External Affairs Dossier and News reports. 10 terrorist operated in India distributed in five sub-groups, simultaneously 3 other person comes in light as per report those were having in continue touch with these terrorist from Pakistan and giving them instructions.                                                                                  

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AI Ethics Global Document Collection Daniel Schiff, Jason Borenstein, Justin Biddle, & Kelly Laas Documents in the dataset were published between January 2016 through July 2019 This dataset is associated with a (forthcoming) paper in IEEE Transactions on Technology and Society, entitled "AI Ethics in the Public, Private, and NGO Sectors: A Review of a Global Document Collection.

Instructions: 

Instructions and Codebook are included in the first sheets of the dataset.

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AI Ethics Global Document Collection

Daniel Schiff, Jason Borenstein, Justin Biddle, & Kelly Laas

Documents in the dataset were published between January 2016 through July 2019

This dataset is associated with a (forthcoming) paper in IEEE Transactions on Technology and Society, entitled "AI Ethics in the Public, Private, and NGO Sectors: A Review of a Global Document Collection.

Instructions: 

Instructions and Codebook are included in the first sheets of the dataset.

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This dataset is a set of eighteen directed networks that represents message exchanges among Twitter accounts during eighteen crisis events. The dataset comprises 645,339 anonymized unique user IDs and 1,396,709 edges that are labeled with respect to Plutchik's basic emotions (anger, fear, sadness, disgust, joy, trust, anticipation, and surprise) or "neutral" (if a tweet conveys no emotion).

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The ASU/UNSW-CICMOD01 was developed to support the novel Cyber Influence Campaign (CIC) model and ontology. It contains full captures of specific tags (hashtags) regardling individual cyber influence campaings scrapped from Twitter and Instagram.  

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The dataset is composed of 595,460 users, 14,273,311 links, 1,345,913 diffusion cascades, and 1,311,498 tags from Mar 24 to Apr 25, 2012. In order to capture more information cascades, Weng et al. set the tracking objects as a group of users who are connected with mutual following. Thus, the follower network is an undirected network made up of a number of disconnected components.

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One best circuit for the electronics choke for tube light

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One new circuit design is invented by me for electronic fan regulator which is cheap and best

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This database is provided for the Fake News Detection task. In addition to being used in other tasks of detecting fake news, it can be specifically used to detect fake news using the Natural Language Inference (NLI).

Instructions: 

This dataset is designed and stored to be compatible for use with both the LIAR test dataset and FakeNewsNet (PolitiFact) datasets as evaluation data. There are two folders, each containing three CSV files.

1- 15212 training samples, 1058 validation samples, and 1054 test samples are the same as (FakeNewsNet PolitiFact) data. The classes of this data are ”real” and ”fake”.

2. 15052 training samples, 1265 validation samples, and 1266 test samples, which is the same as the LIAR test data. The classes in this data are ”pants-fire”, ”false”, and ”barely true”, ”half-true”, ”mostly-true” and ”true”.

The DataSet columns:

id: matches the id in the PolitiFact website API (unique for each sample)

date: The time each article was published in the PolitiFact website

speaker: The person or organization to whom the Statement relates

statement: A claim published in the media by a person or an organization and has been investigated in the PolitiFact article.

sources: The sources used to analyze each Statement

paragraph_based_content: content stored as paragraphed in a list

fullText_based_content: Full text using pasted paragraphs

 

label: The class for each sample

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