Reddit datasets

Reddit Dataset Papers With Cod

  1. The Reddit dataset is a graph dataset from Reddit posts made in the month of September, 2014. The node label in this case is the community, or subreddit, that a post belongs to. 50 large communities have been sampled to build a post-to-post graph, connecting posts if the same user comments on both
  2. This corpus contains preprocessed posts from the Reddit dataset. The dataset consists of 3,848,330 posts with an average length of 270 words for content, and 28 words for the summary. Features includes strings: author, body, normalizedBody, content, summary, subreddit, subreddit_id. Content is used as document and summary is used as summary
  3. Reddit News Datasets Daily News for Stock Market Prediction: Originally created to aid in the prediction of stock market fluctuations, the Daily News for Stock Market Prediction dataset consists of news that was gathered from the subreddit r/worldnews between June 2008 and July 2016. It also features Dow Jones Industrial Average stock information
  4. Reddit Usernames - A simple dataset containing a CSV file of 26 million usernames of Reddit users. Furthermore, the dataset includes the total number of comments each user has made. 8. SARC: Self-Annotated Reddit Corpus for Sarcasm - This dataset consists of over 1.3 million sarcastic comments and posts crawled from Reddit
  5. This dataset contains two files: user embeddings and subreddit embeddings on Reddit. The user and subreddit embeddings represent a vector representation of each user and each subreddit. (A subreddit is a community on Reddit.) The data is extracted from publicly available Reddit data of 2.5 years from Jan 2014 to April 2017

reddit · Datasets at Hugging Fac

Reddit Comment and Thread Datas. Around 260,000 threads / comments scraped from Reddit. Useful dataset for NLP projects. Quick Start. Scraped using omega-red. The .csvs are named <metareddit>_<subreddit>.csv.The headers are described here and in headers.txt.. Headers are The dataset contains the Reddit posts of Indian region. Content. This data was taken out from Reddit with the help of their easy to use api. It contains various features such as post's title, url, description, flair etc. It contains approx. 220 posts for each of the following flair: AskIndia; Non-Political ; Scheduled; Photography; Science/Technology; Politics; Business/Finance; Policy/Economy. I am making a marketplace for the datasets. Hello everyone. I am currently working on a marketplace where anyone can share their dataset (images, sounds, etc.) with the world. The idea is that after you have solved your ML task, you are left with the dataset which you don't mind sharing with others. So why not make some money out of this

Top 11 Reddit Datasets for Machine Learning iMeri

This dataset is a collection of 132,308 reddit.com submissions. Each submission is of an image, which has been submitted to reddit multiple times. For each submission, we collect features such as the number of ratings (positive/negative), the submission title, and the number of comments it received Reddit TIFU dataset is a newly collected Reddit dataset, where TIFU denotes the name of /r/tifu subbreddit. There are 122,933 text-summary pairs in total

Reddit Dataset Update. Recently, Gaffney and Matias shared their findings regarding missing data in the pushshift.io reddit dataset to arXiv. Their thoughtful and careful examination highlighted the fact that some data might be missing from this dataset. In particular, they estimated that 0.043% of comments and 0.65% of submissions may be missing Our dataset consists of 190K posts from five different categories of Reddit communities; we additionally label 3.5K total segments taken from 3K posts using Amazon Mechanical Turk. We present preliminary supervised learning methods for identifying stress, both neural and traditional, and analyze the complexity and diversity of the data and characteristics of each category. Anthology ID: D19.

10 Best Reddit Datasets for NLP and Other ML Projects

  1. Apply up to 5 tags to help Kaggle users find your dataset. Health close Social Networks close Coronavirus close Public Health close. Apply. Description . Context. VaccineMyths (r/VaccineMyths), is a subreddit where people discuss about various Vaccine Myths. The data might contain a small percent of harsh language, the posts were not filtered. Colection. Reddit posts from subreddit.
  2. Social Network: Reddit Hyperlink Network Dataset information. The hyperlink network represents the directed connections between two subreddits (a subreddit is a community on Reddit). We also provide subreddit embeddings. The network is extracted from publicly available Reddit data of 2.5 years from Jan 2014 to April 2017. Subreddit Hyperlink Network: the subreddit-to-subreddit hyperlink.
  3. This is a dataset of the all-time top 1,000 posts, from the top 2,500 subreddits by subscribers, pulled from reddit between August 15-20, 2013. - reddit-top-2.5.
  4. Our Reddit Mentions dataset is now live! Thinknum on February 01, 2021. Thinknum's new Reddit Mentions dataset tracks the number of times NYSE and NASDAQ tickers are mentioned in the top 100 posts on r/WallStreetBets and r/Stocks in real time. The dataset went live last week and allows equity analysts and portfolio managers to know when one.
  5. Reddit Datasets - This last one isn't a dataset itself, but rather a social news site devoted to datasets. It's updated regularly with news about newly available datasets. Quandl - This is a web-based front end to a number of public data sets. What's nice about this website is that it allows for the combination of data from a number of sources, and can export the data in a number of formats.
  6. Pushshift Reddit. Pushshift makes available all the submissions and comments posted on Reddit between June 2005 and April 2019. The dataset consists of 651,778,198 submissions and 5,601,331,385 comments posted on 2,888,885 subreddits

Results on the Reddit dataset specifically describe the performance of the models on the All-corrected Gold and Silver annotations presented in the current work, as well as the union of these two groups (Comb.). Two important conclusions can be reached from these results. First, the simple Query baseline model works surprisingly well on the Reddit annotation dataset, but this performance. Description. This Reddit dataset consists specific metadata of all submissions posted to Reddit from the beginning of Nov. 2007 to the end of July 2013. The metadata of each submission (e.g., score) were collected around 1-2 months after the initial submission (i.e., when they get blocked from voting) as the metadata has most likely been settled after this period Reddit Datasets and Analytics Tools. 12th February 2020. Reddit Statistics - pushshift.io Pushshift Reddit Search A comprehensive search engine and real-time analytics tracker for the website Reddit Reddit user mattrepl, who identified themselves as a PhD student in machine learning and community dynamics, suggested that the dataset could be used to develop models of the flow of online.

Very new to BigQuery and SQL in general! I found this amazing dataset of Reddit comments online (https://bigquery.cloud.google.com/table/fh-bigquery:reddit_comments. In fact, thanks to Jason Baumgartner of PushShift.io (aided by The Internet Archive ), a dataset of 1.65 billion comments , stretching from October 2007 to May 2015, is now available to download.

SNAP: Social network: Reddit Embedding Datase

  1. The Pushshift Reddit Dataset (ICWSM'20) PDF: Pushshift: Reddit subreddits posts and users: Full history: Disturbed YouTube for Kids: Characterizing and Detecting Disturbing Content on YouTube (ICWSM'20) Zenodo: 844.7K YouTube videos' metadata: N/A: Raiders of the Lost Kek: 3.5 Years of Augmented 4chan Posts from the Politically Incorrect Board (ICWSM'20) Zenodo: 134.5M 4chan /pol.
  2. GoEmotions, the largest manually annotated dataset of 58k English Reddit comments, labeled for 27 emotion categories or Neutral. Non-commercial. Can only be used for research and educational purposes. Commercial use is prohibited. QA. DoQA. DoQA is a dataset for accessing Domain Specific FAQs via conversational QA that contains 2,437 information-seeking question/answer dialogues (10,917.
  3. In the hope that others might find this catalog useful, here's 20 weird and wonderful datasets you could (perhaps) use in machine learning. Caveat: I haven't validated that all of these.
  4. REDDIT Dataset . Post the Gamestop saga, 'swarm trading' has exploded into a big theme in 2021's financial markets. Institutional investors, spooked by the potential new 'retail' risk, now demand solutions that are able to accurately monitor social (underground) platforms such as e.g. REDDIT's Wall Street Bets. Some data vendors have jumped to market with simple offerings using.
  5. We are the #1 source of Reddit data, as featured on: About Data: Our new Reddit Mentions dataset tracks the number of times NYSE and NASDAQ tickers are mentioned in the top 100 posts on r/WallStreetBets and /Stocks in real time. Hedge funds have started to build algorithms or hire outside firms that specialize in scanning conversations on.
  6. e active users of a subreddit by identifying the subreddits where a user has commented on at least 5 different submissions within the past 6 months. Perform a self-join by joining the table on itself: this will create links.
Traditional Approaches for Company Valuation Are Flawed

In supervised learning problems, we make use of datasets that contain training examples with associated correct labels. For example, if we had thousands of emails labeled as spam or not spam, we could train a model that can classify previously unseen emails as spam or not. Supervised learning is being used in a lot of our daily life activities, e.g., Depositing a check into your bank account. These datasets are applied for machine-learning research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets 3 Dataset 3.1 Reddit Data Reddit is a social media website where users post in topic-specific communities called subreddits, I have this feeling of dread about school right before I go to bed and I wake up with an upset stomach which lasts all day and nakes me feel like I'll throw up. This causes me to lose ap- petite and not wanting to drink water for fear of throwing up. I'm not sure. Dataset Search. Dataset Search. Try coronavirus covid-19 or education outcomes site:data.gov. Learn more about Dataset Search

Reddit banned the subreddit /r/incels in early November of 2017. This happened as I was re-ingesting data for the month of October, 2017. Since the data was no longer available via the Reddit API, I still had the data from my real-time ingest database. In the interest of research, I included these comments in the October 2017 dump. The comments from the real-time database will have a score of. Datasets publicly available on BigQuery (reddit.com) Dataset of release notes for the majority of generally available Google Cloud products. Sharing a dataset with the public. You can share any of your datasets with the public by changing the dataset's access controls to allow access by All Authenticated Users. For more information about setting dataset access controls, see Controlling. This Blog post wi l l focus on Reddit/India(Politics) dataset — step by step collection , cleaning , preprocessing , analyzing and modelling of data. D ata Collection and Cleaning. We accessed.

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GitHub - linanqiu/reddit-dataset: Dataset of threads and

The RSDD (Reddit Self-reported Depression Diagnosis) dataset consists of Reddit posts for approximately 9,000 users who have claimed to have been diagnosed with depression (diagnosed users) and approximately 107,000 matched control users. All posts made to mental health-related subreddits or containing keywords related to depression were removed from the diagnosed users' data; control users. Pre-trained models and datasets built by Google and the community Tools Ecosystem of tools to help you use TensorFlow {Abstractive Summarization of Reddit Posts with Multi-level Memory Networks}, author={Byeongchang Kim and Hyunwoo Kim and Gunhee Kim}, year={2018}, eprint={1811.00783}, archivePrefix={arXiv}, primaryClass={cs.CL} } reddit_tifu/short (default config). Gitee.com(码云) 是 OSCHINA.NET 推出的代码托管平台,支持 Git 和 SVN,提供免费的私有仓库托管。目前已有超过 600 万的开发者选择 Gitee The dataset has over 13,000 labels for hundreds of legal contracts that have been manually labeled by legal experts; the beta, posted last year, only had ~3,000 labels Data is scraped from reddit - 2 datasets from 2 different threads. Applied word normalisation techniques and determined a classification problem for a model differentiate between the 2 threads - Jchu4/reddit-text-analysis-nlp. Reddit dataset GCN. The Reddit dataset is a graph dataset from Reddit posts made in the month of September, 2014. The node label in this case is the community, or subreddit, that a post belongs to. 50 large communities have been sampled to build a post-to-post graph, connecting posts if the same user comments on both. In total this dataset contains 232,965 posts with an average degree of 492.

This dataset contains all questions and answers from the game show Jeopardy from its inception to 2012. It is available in XLSX, CSV, and JSON formats. This dataset was was compiled by Reddit user trexmatt in 2014 Thinknum's Reddit Mentions dataset tracks the number of times individual companies are mentioned in the top 100 posts on r/WallStreetBets in real time. It allows equity analysts and portfolio managers to know when one of their portfolio companies is being talked about on Reddit. Our Reddit Mentions dataset is now accessible on KgBase, our no-code knowledge graph tool. Harnessing KgBase's easy. Reddit is designed to be a site where people detach from their real-world identities and post anonymously (Gutman, 2018), but the construction of this dataset adds an additional layer of anonymization by replacing user names with unique identifiers (since, for example, a hypothetical user could still have chosen the username maryjanesmith1973.collegepark, identifying name, birth year, and.

This page contains collected benchmark data sets for the evaluation of graph kernels. The data sets were collected by Kristian Kersting, Nils M. Kriege, Christopher Morris, Petra Mutzel, and Marion Neumann with partial support of the German Science Foundation (DFG) within the Collaborative Research Center SFB 876 Providing Information by Resource-Constrained Data Analysis, project A6. Editor @Hackernoon by day, VR Gamer and Anime Binger by night. In this post, I wanted to share a Reddit dataset list that gained a lot of traction on social media when it was first posted. Known as the front page of the internet, Reddit is part forum, part social..

Datasets. Conversations Gone Awry Dataset (Wikipedia version) Conversations Gone Awry Dataset (Reddit CMV version) Cornell Movie-Dialogs Corpus; Parliament Question Time Corpus; Wikipedia Talk Pages Corpus; Tennis Interviews; Reddit Corpus (all, by subreddit) Reddit Corpus (small) WikiConv Corpus; Chromium Conversations Corpus; Winning. Oh no! Some styles failed to load. Please try reloading this pag Dreaddit: A Reddit Dataset for Stress Analysis in Social Media. 10/31/2019 ∙ by Elsbeth Turcan, et al. ∙ 0 ∙ share Stress is a nigh-universal human experience, particularly in the online world. While stress can be a motivator, too much stress is associated with many negative health outcomes, making its identification useful across a range. Big Dataset: Analyzing All Reddit Comments With ClickHouse It is hard to come across interesting datasets, especially a big one. However, I recently struck gold when I found Reddit's comments and.

The R Datasets Package-- A --ability.cov: Ability and Intelligence Tests: airmiles: Passenger Miles on Commercial US Airlines, 1937-1960: AirPassengers: Monthly Airline Passenger Numbers 1949-1960: airquality: New York Air Quality Measurements: anscombe: Anscombe's Quartet of 'Identical' Simple Linear Regressions: attenu : The Joyner-Boore Attenuation Data: attitude: The Chatterjee-Price. Datasets CNN/DailyMail XSum Webis TL;DR Models About Summary Explorer is a tool to visually inspect the summaries from several state-of-the-art neural summarization models across multiple datasets. It provides a guided assessment of summary quality dimensions such as coverage, faithfulness and position bias. You can inspect summaries from a single model or compare multiple models. To integrate.

MIND: A Large-scale Dataset for News Recommendation. ACL 2020. Download. The MIND dataset is free to download for research purposes under Microsoft Research License Terms. Before you download the dataset, please read these terms and click below button to confirm that you agree to them. I agree to the Microsoft Research License Terms. This dataset can support many researches on news. Working with datasets. You cannot do predictive analytics without a dataset. Although we are surrounded by data, finding datasets that are adapted to predictive analytics is not always straightforward. In this section, we present some resources that are freely available. The Titanic datasetis a classic introductory datasets for predictive analytics. Finding open datasets. There is a multitude. Datasets » Reddit Corpus (small) View page source; Reddit Corpus (small) ¶ A sample of conversations from Reddit from 100 highly active subreddits. From each of these subreddits, we include 100 comments threads that has at least 10 comments each during September, 2018. The complete list of subreddits included can be found here. Dataset details¶ Speaker-level information¶ speakers in this. daave on July 11, 2015 [-] > Since the full dataset is ~285GB, you only get 4 queries per month. That's only true if your 4 queries need to read every single column. One of the big advantages of BigQuery's column-oriented storage is that you only pay to read the columns that are actually needed to answer your query

This is an archive of Reddit comments from October of 2007 until May of 2015 (complete month). This reflects 14 months of work and a lot of API calls. This dataset includes nearly every publicly available Reddit comment. Approximately 350,000 comments out of ~1.65 billion were unavailable due to Reddit API issues. Q: How are the files structured r/datasets - Open datasets contributed by the Reddit community. This is another source of interesting and quirky datasets, but the datasets tend to less refined. Datasets for General Machine Learning. In this context, we refer to general machine learning as Regression, Classification, and Clustering with relational (i.e. table-format) data. These are the most common ML tasks. Our picks.

Reddit's 2400 Posts Dataset Kaggl

Reddit is home to thousands of communities, endless conversation, and authentic human connection. Whether you're into breaking news, sports, TV fan theories, or a never-ending stream of the internet's cutest animals, there's a community on Reddit for you There's no additional charge for using most Open Datasets. Pay only for Azure services consumed while using Open Datasets, such as virtual machine instances, storage, networking resources, and machine learning. See the pricing page for details × Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns. Click here to try out the new site

DIY Datasets! Kenny Oh. Jul 25, 2020 · 3 min read. it's a dirty job, but someone's gotta do it. Since enrolling in a data science bootcamp at Flatiron School, I've been contemplating a range of topics to focus on for my capstone project. My strongest leaning was to investigate questions around grassroots movements given the current. © Copyright 201

I am making a marketplace for the datasets - reddit

The Open Graph Benchmark (OGB) is a collection of realistic, large-scale, and diverse benchmark datasets for machine learning on graphs. OGB datasets are automatically downloaded, processed, and split using the OGB Data Loader.The model performance can be evaluated using the OGB Evaluator in a unified manner. OGB is a community-driven initiative in active development Our Data. We're sharing the data and code behind some of our articles and graphics. We hope you'll use it to check our work and to create stories and visualizations of your own. updating. data set. related content. polls. Latest Polls. 9 hours ago The Pushshift Reddit dataset has attracted a substantial research community.As of late 2019, Google Scholar indexes over 100 peer-reviewed publications that used Pushshift data (see Fig. 5). This research covers a diverse cross-section of research topics including measuring toxicity, personality, virality, and governance. Pushshift's influence as a primary source of Reddit data among. This dataset is derived from the Dominick's OJ dataset and includes extra simulated data with the goal of providing a dataset that makes it easy to simultaneously train thousands of models on Azure Machine Learning. MNIST database of handwritten digits: The MNIST database of handwritten digits has a training set of 60,000 examples and a test set of 10,000 examples. The digits have been size. Government Contracts. Corporate Flights. WallStreetBets Discussion. Work Visas. Political Beta. Corporate Lobbying. We sift through. billions of data points to create. DOZENS

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The Reddit networks' evolution dataset (20,128 complex networks and 1,023,995 graphs, ~478 GB compressed, Files SHA-256) The Free Internet Chess Sever (FICS) network (519,583 vertices, 429,747,476 edges, ~6.4 GB compressed/~19 GB uncompressed). Datasets; Submit. Order by. Go. 91,948 datasets found Filter Results. Scallop License Limitation Program (SLLP) Permit Program. A federal Scallop License Limitation Program (SLLP) license is required onboard any vessel deployed in scallop fisheries in Federal waters off Alaska (except for some diving... PDF; Alaska Marine Mammal Strandings/Entanglements. This database represents a summary of.

Sentiment Analysis for Trading with Reddit Text Data by

Responding to the Activities of r/WallStreetBetsAMSTERDAM / ACCESSWIRE / May 17, 2021 / HIPSTO today announced the launch of its Advanced Reddit Monitoring Dataset in response to the unprecedented. R(N) are regression datasets with N tasks per graph. 2D/3D - attributes contain 2D or 3D coordinates. RI - task does not depend on rotation and translation Science Datasets. The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata. Reddit dataset contains 184 provenance graphs, which together sum up to 10,421 original and composite images. Paper Download Link; Dataset Download Link; GAN Collection Dataset is a collection of about 356,000 real images and 596,000 GAN-generated images. The GAN-generated images are created by different GAN architectures (such as: CycleGAN, ProGAN, StyleGAN). Dataset Download Link.

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The NES Music Database: A symbolic music dataset with expressive performance attributes Chris Donahue, Henry Mao, Julian McAuley International Society for Music Information Retrieval Conference (ISMIR), 2018 pdf. Multi-aspect Reviews Description. These datasets include reviews with multiple rated dimensions. The most comprehensive of these are beer review datasets from Ratebeer and. Die Katasterkarte als Web Feature Service (WFS) Dienst mit tagesaktuellen Daten im ETRS89-System. Der Datensatz umfasst die Gebäudeumringe auf Basis des amtlichen Liegenschaftskatasters ALKIS und die Flurstücke der Stadt Essen. Hinweis: Der WFS Dienst ist eine Schnittstelle zum Abrufen von Vektordaten aus dem städtischen ALKIS-System Fashion-MNIST is a dataset of Zalando's article images consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes Large-scale 2D dataset for object detection in autonomous driving. Object Detection (Image) Autonomous Driving. Popularity. Stanford AIMI. Stanford AIMI Shared Datasets. 2021.8. A collection of de-identified annotated medical imaging datasets. Medical Images