Open-Platypus Logical Reasoning by Kaggle | Other

About this Dataset

Open-Platypus Logical Reasoning

Keyword Search and Sentence Transformation for Training

By Huggingface Hub [source]

About this dataset

This dataset serves as an exceptional tool for improving one’s logical reasoning abilities. It comprises useful data points carefully acquired from multiple data sources, which were obtained by applying keyword search strategies combined with sentence transformer algorithms designed to eliminate items that bear a similarity greater than 80%.

The dataset makes it much simpler to train a Platypus2 model owing to the fact that it offers precise input and output entries with comprehensive instructions. Utilizing this dataset can lead to enhancing logic capabilities significantly and expand the frontier of what is possible. If you are looking for a powerful way to gain valuable insights while sharpening your logic skills, this dataset is an invaluable resource for apt advice and useful tips!

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How to use the dataset

How to Use this Dataset

To get the most out of this dataset, it is recommended that one pre-process the given input data by applying keyword search and sentence transformation to any of the raw data that was provided. This helps ensure that no duplicates or items with similarity higher than 80% are included in the processed version, as this can lead to inaccurate results when training a Platypus2 model.

Finally, use either machine learning algorithms or statistical models such as maximum likelihood estimation techniques to process the given input and output training pairs - with accompanying instructions - to make sure they can be accurately used for your specific project needs. Once trained on these high quality samples from our dataset you should notice improved logical reasoning skills in your model!

Research Ideas

Creating data-driven applications to assist in problem solving and logical reasoning tasks (i.e. recommending possible solutions to a given problem based on the dataset).

Utilizing natural language processing techniques to understand patterns in the dataset that can be used for more accurate predictions for future logical reasoning questions or tasks.

Enhancing chatbots and other virtual assistants by using this data to provide more meaningful responses that require deeper understanding than straight forward keyword search algorithms can provide

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: train.csv

Column name	Description
input	This column contains the input data points. (String)
output	This column contains the output data points. (String)
instruction	This column contains the explanatory instructions for training a Platypus2 model. (String)
data_source	This column contains the source of the data points. (String)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Huggingface Hub.

Tables

Train

@kaggle.thedevastator_open_platypus_logical_reasoning.train

14.62 MB
24926 rows
4 columns


CREATE TABLE train (
  "input" VARCHAR,
  "output" VARCHAR,
  "instruction" VARCHAR,
  "data_source" VARCHAR
);