I posted a @Kaggle dataset with over 200,000 @Jeopardy questions and answers:https://t.co/0tXGPVKZoK
— Bojan Tunguz (@tunguz) November 13, 2019
I posted a @Kaggle dataset with over 200,000 @Jeopardy questions and answers:https://t.co/0tXGPVKZoK
— Bojan Tunguz (@tunguz) November 13, 2019
Most highly rated recipes on https://t.co/p9bl6itePK (all 5.0 ratings):
— Anthony Goldbloom (@antgoldbloom) November 13, 2019
1. Creole cajun seasoning mix (56 reviews)
2. Caprese salad (48)
3. Pumpkin pie spice (39)
4. Caesar tortellini salad (35)
5. Hot cocoa (34)
6. Yeast biscuits (32)https://t.co/jXGqlJarKx
Today we're announcing the 2019 Kaggle ML & DS Survey Challenge! Jump right in and explore the data! https://t.co/6GyL3fwJTW pic.twitter.com/clOXTa45V9
— Kaggle (@kaggle) November 11, 2019
A dataset of all the @Sephora reviews that mention crying. @flowingdata is right, there’s gotta be a good use for that! https://t.co/T5KDx7pmdFhttps://t.co/iQO3uXySIt https://t.co/uWph96MZol @crabbage_
— AmeliaMN (@AmeliaMN) November 8, 2019
Facebook AI is sharing MLQA, an extractive question answering (QA) evaluation benchmark aligned across Arabic, German, Hindi, Spanish, Vietnamese, and Simplified Chinese. It will help the AI community improve and extend QA in more languages. https://t.co/mHQTUAz9yI pic.twitter.com/lP65q5ceSH
— Facebook AI (@facebookai) November 7, 2019
We’re pleased to release the Visual Task Adaptation Benchmark (VTAB), a diverse, realistic, and challenging protocol to measure progress towards universal visual representations. Learn all about it below. https://t.co/PbORwSFPAg
— Google AI (@GoogleAI) November 6, 2019
UR-FUNNY: A Multimodal Language Dataset for Understanding Humor
— hardmaru 😷 (@hardmaru) November 5, 2019
They used TED Talk transcripts with laughter cues to create a humor dataset that can be used for humor detection and other humor analyses. #EMNLP2019 🤣
paper https://t.co/HGYDViRRoE
dataset https://t.co/MedSrcf07s pic.twitter.com/kTplhlK5oT
terrific new benchmark from @YejinChoinka lab that does indeed appear to get at the challenge I have been raising, re getting AI systems to understand how events unfold over time. https://t.co/gY7vdA7sey
— Gary Marcus (@GaryMarcus) November 3, 2019
Here's a look at ads for financial services like loans and banks targeted only to men and younger consumers: https://t.co/PclEjZ6dZh@jeremybmerrill & @johndetrixhe used the Facebook Ad Collector to see them. Facebook STILL doesn't publish targeting info: https://t.co/ZHEqU5qqs1 https://t.co/hEs8exkSQR
— Ariana Tobin (@Ariana_Tobin) November 1, 2019
I've open-sourced a Facebook Ad Library scraper for FB's political ads via the official API! This scraper gathers and cleans the data in a way to make it very easy to perform analysis on it! (unfortunately you still need to be approved for the API) https://t.co/67aRTW1ydV
— Max Woolf (@minimaxir) October 31, 2019
The Schema-Guided Dialogue dataset, is the largest publicly available corpus of multi-domain, task-oriented dialogues for training the next generation of conversational digital assistants. Grab the dataset and learn about the schema-guided approach here ↓ https://t.co/JSxhnPBjeQ
— Google AI (@GoogleAI) October 28, 2019
instaloader - Download pictures (or videos) along with their captions and other metadata from Instagram. https://t.co/jUpxdbsAWY
— Python Trending (@pythontrending) October 27, 2019