succinctly/dalle-mini-finetuned-medium
Text-to-Image • Updated • 9 • 1
caption stringlengths 1 274 | encoding sequence |
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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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6523,
152... |
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Advice to a Young Writer | [
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GarageShop — a UX case study | [
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End of preview. Expand in Data Studio
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:
- Given an image of size
(w, h), we cropped a square of size(n, n)from the center of the image, wheren = min(w, h). - The resulting
(n, n)image was resized to(256, 256). - 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.).
- Downloads last month
- 36
Size of downloaded dataset files:
45 MB
Size of the auto-converted Parquet files:
45 MB
Number of rows:
126,352
Models trained or fine-tuned on succinctly/medium-titles-and-images