#dataset

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fromFlowingData
19 hours ago

Evaluating the fairness and gerrymandering of district boundaries

Most of our federal and state legislators are elected from districts. Every ten years, state governments redraw district boundaries in a process known as redistricting. PlanScore promotes fairness in the redistricting process. We make it easy for policymakers and advocates to score new district maps and assess whether they're fair or gerrymandered. We also provide access to the most comprehensive historical dataset of partisan gerrymandering ever assembled.
US politics
fromHackernoon
2 weeks ago

A Multimodal Dataset for Synthesizing Rap Vocals and 3D Motion | HackerNoon

The RapVocal subset consists of 108.44 hours of quality English rap vocals with aligned lyrics, obtained through data crawling using Spotdl and Spotipy.
Music
#ms-marco
fromHackernoon
2 years ago
Artificial intelligence

MS MARCO Web Search: Powering Next-Gen Information Access & Neural Indexers | HackerNoon

fromHackernoon
2 years ago
Artificial intelligence

MS MARCO Web Search: Powering Next-Gen Information Access & Neural Indexers | HackerNoon

fromMedium
2 months ago

RDD vs DataFrame vs Dataset in Apache Spark: Which One Should You Use and Why

Understanding Spark's APIs—RDD, DataFrame, and Dataset—saves time and boosts efficiency in big data processing.
fromHackernoon
1 year ago

Researchers Combine GPT-4 and Human Experts to Train AI on Visual Figurative Reasoning | HackerNoon

In developing V-FLUTE, we merge existing figurative datasets with human-AI collaboration to create a benchmark that enables AI models to understand visual entailment and figurative language.
Humor
Artificial intelligence
fromThe Verge
4 months ago

Wikipedia is giving AI developers its data to fend off bot scrapers

Wikimedia is releasing a dataset for AI training to curb Wikipedia scraping.
Partnership with Kaggle aims to provide structured data for AI model training.
The dataset includes well-structured information while reducing server load from AI bots.
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