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caption (string)encoding (sequence)
"Spectral graph clustering and optimal number of clusters estimation"
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"The Needed Perseverance for Writing."
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"We Write In The Dark"
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"A Review of My First Week as a Medium Writer"
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"Possibility, Unlocked"
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"Preventing Deaths From Heart Disease Using Machine Learning"
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"Neural Networks"
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"How to see Systems in everyday life"
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"10 Painful Lessons I Learned In 2018 That Made Me A Better Person"
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"<strong class="ba">Review Rating Prediction: A Combined Approach</strong>"
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"For The Love of Prose, Please Hire an Editor"
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"5 Must-have skills in Python for every Data Scientist"
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"Design + Writing = Power. How I became a better designer through writing"
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"Gaming through Python(Part-5)"
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"8 Social Media Marketing Predictions for 2019"
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"Understanding and Coding a ResNet in Keras"
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"6 Steps to Create Value from Machine Learning for Your Business"
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"<strong class="ba">How To Adjust To A New Managerial Position</strong>"
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"Designing Confrontation"
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"<strong class="ba">Writing: What I Crucially Disagree with and What I’d Like to Convey to Beginning Writers</strong>"
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"Learn Computer Science, but don’t major in it"
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"More on Python"
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"Persuasive Design: using advanced psychology effectively"
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"I Prefer Ideas"
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"<strong class="ba">This Is A Book And Its Publication On Medium Is An Experiment</strong>"
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"Conversational AI helps vacation rental users and hotels spot problems and save time."
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"Why Having a Goal Isn’t Enough & A System to Help YOU Get There"
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"Your plan for 2019"
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"Fear Of AI…Or Not"
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"Should Data Scientists Know How To Write Production Code?"
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"<strong class="ba">The Completely Audacious Guide to Breaking the Ice</strong>"
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"Customers Subscription Analysis and Prediction Based on App Behavior Analysis (Logistic Regression)"
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"<strong class="ba">The One Thing That Teachers of Creativity Never Teach</strong>"
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"The Author I Admired Before Reading Any of His Novels"
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"Was the Enlightenment Doomed from the Start…"
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"Town and Gown — Reconciling Industry and Academia When Building A Startup"
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"Infection Modeling — Part 2"
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"8️⃣ Little Tricks To Grow Your Career"
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"<strong class="ba">How to give and receive better design feedback</strong>"
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"How To Go Public with your Personal Brand"
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"How to Improve Your Network Performance by Using Curriculum Learning"
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"Advice to a Young Writer"
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"Are you passionate about your business?"
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"The UN-definitive UN-comprehensive Guide to becoming at Data Scientist"
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"GarageShop — a UX case study"
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"What’s “good in the hood”? Don’t tell me, show me — a UX case study"
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"<strong class="ba">200M People &amp; Zero Unicorns: Building the next great startup in Pakistan</strong>"
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"This 1 Thing Is Holding (A Lot Of) Millennial Entrepreneurs Back"
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"Finding Pleasure In the Bordeom of Writing"
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"<strong class="ba">Cutting through the AI hype</strong>"
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"5 Questions for the US economy in 2019"
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"Genetic Algorithms"
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"What do we need from buildings?"
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"An Introduction to R— Merging and Filtering data— Part 1"
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"Reduced branching, robot sensing, and cyclomatic complexity"
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"<strong class="ba">How to Be Less Stressed When You Return to Work</strong>"
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"RegTech — The Next “Big Thing” In FinTech"
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"Using the latest advancements in deep learning to predict stock price movements"
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"<strong class="ba">Middle East’s Interest-Free Payment Platform Developed in Turkey</strong>"
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"Being a Writer Is the Fastest Way to Starve to Death"
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"In defence of the content creator"
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"Filling blanks in a dataset with R"
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"Practical NumPy — Understanding Python library through its functions"
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"‘We learn more from failure than from success’"
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"Data Cleaning, Detection and Imputation of Missing Values in R Markdown — Part 2"
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"DECISION TREES"
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"How to design a more usable and accessible web for everyone"
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"How To Quit Your Job Gracefully"
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"Stop Selling and Start Solving: How to Be Seen as a Consultant Instead of Just a Salesperson"
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"How to Return to a Story You Abandoned"
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"Mending Broken Dreams: How I Became a Writer Again"
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"How To Confuse Your Readers By Being a Top Writer in Numerous Unrelated Tags"
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"Brexit: The Uncivil War showed us how the EU Referendum was won with Data Science"
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"China is in Debt & What This Means for Cryptocurrencies"
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"<strong class="ba">This technology will make 2019 the most impactful year for work in a generation</strong>"
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"How to Market your Coaching Business"
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"A case for beta testing"
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"Open call for developers to integrate their blockchain into Arkane"
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"What If Unhappiness Contains The Secret To Happiness?"
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"Open Questions: Carlos A. Gomez-Uribe"
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"10 frameworks to help you measure success in design"
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"How to do mixup training from image files in Keras"
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"How to Get Your Story Read"
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"Are You Paying Attention to Narrative Flow?"
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"I may not be a writer, but I play one in my own mind"
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"Medium + r-bloggers — How to integrate?"
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"A Journey Into Environmentalism"
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"AI Technology VS AI Solutions"
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"Make a habit of teaching yourself"
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"A tale of two managers: why top leaders practice the ‘middle way’"
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"The necessity of reconciliation between Telegram messenger and search engines"
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"New Novelist? Plan Your 2019"
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"30 Days No Stats Challenge"
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"<strong class="ba">How to make a digital version of You!</strong>"
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"“Serve” with crypto solutions"
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"If You Want To Be Happy, Make The World Small"
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"You pay me, but I don’t work for you"
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"How our redesign helped us grow 10x in a year — a UX case study"
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"Smart Links: invisible by design — a UX case study"
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"A Project Management Consultant Must Master This Classic Challenge"
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End of preview (truncated to 100 rows)

This dataset contains <title, encoded_image> pairs from Medium articles. It was processed from the Medium Articles Dataset (128k): Metadata + Images dataset on Kaggle.

The original images were processed in the following way:

  1. Given an image of size (w, h), we cropped a square of size (n, n) from the center of the image, where n = min(w, h).
  2. The resulting (n, n) image was resized to (256, 256).
  3. The resulting (256, 256) image was encoded into image tokens via the dalle-mini/vqgan_imagenet_f16_16384 model.

Note that this dataset contains ~128k entries and is too small for training a text-to-image model end to end; it is more suitable for operations on a pre-trained model like dalle-mini (fine-tuning, prompt tuning, etc.).

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