liar_dataset VS awesome-public-datasets

Compare liar_dataset vs awesome-public-datasets and see what are their differences.

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liar_dataset awesome-public-datasets
1 79
28 58,562
- 0.9%
10.0 5.1
about 5 years ago 27 days ago
Jupyter Notebook
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

liar_dataset

Posts with mentions or reviews of liar_dataset. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-24.
  • On Data Quality
    3 projects | dev.to | 24 May 2022
    For our capstone project at Flatiron school we had to not only pitch the project we wanted to do, but also find a dataset that would allow us to accomplish that project. I chose to make a Fake News Classifier, and pitched a dataset I found on Kaggle for it. My instructor was quick in turning it down. It had no information on how that data was acquired, how it was labelled, and I had no means of verifying it. With some more research done I found the Liar dataset, which contained thousands of data points, humanly labelled by editors from politifact.com using a truthiness scale and which contained extensive metadata on each instance, making it verifiable. Once I settled on my final model, I decided to train a version of it on the rejected dataset, just for curiosity. The Accuracy it provided for the test data from that dataset was way higher than the one trained in the Liar dataset. Why was that? The model wasn't actually making correct predictions, it was just better at identifying the labels (which were not verified) from the dataset.

awesome-public-datasets

Posts with mentions or reviews of awesome-public-datasets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-25.

What are some alternatives?

When comparing liar_dataset and awesome-public-datasets you can also consider the following projects:

Fake-News-Classification - Exploration of Natural Language Processing techniques to create a prediction model using the LIAR dataset.

labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

tidytuesday - Official repo for the #tidytuesday project

reddit-top-2.5-million - 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.

tensorboard - TensorFlow's Visualization Toolkit

data - Data and code behind the articles and graphics at FiveThirtyEight

zsv - zsv+lib: tabular data swiss-army knife CLI + world's fastest (simd) CSV parser

quickdraw-dataset - Documentation on how to access and use the Quick, Draw! Dataset.

links-detector - πŸ“– πŸ‘†πŸ» Links Detector makes printed links clickable via your smartphone camera. No need to type a link in, just scan and click on it.

awesome-teachable-machine - Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!

game-datasets - :video_game: A curated list of awesome game datasets, and tools to artificial intelligence in games

cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.