The Pile Small by Kaggle | Other

About this Dataset

The Pile Small

A dataset for pretraining general LLM models

By Huggingface Hub [source]

About this dataset

This Kaggle dataset offers an in-depth look into complex relationships between text and meta data. By taking advantage of sophisticated machine learning algorithms, researchers are now able to gain a better understanding of how these two sets of data interact to unlock powerful insights. This dataset includes engaging text and valuable meta data that can be used for natural language processing (NLP), predictive modeling, sentiment analysis, and more. With this dataset researchers can explore new potentials when it comes to researching intricate relationships between words and metadata - understanding novel ways that they interact with each other in a diverse array of contexts. Unlock the power of this unique collection today!

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How to use the dataset

How to Use This Dataset:

Review the columns included in the dataset: text and meta data provide valuable information that can be used for machine learning analysis.

Determine what type of analysis is needed, such as NLP (evaluating sentiment, topics, etc.), predictive modeling (analyzing relationships between variables), or sentiment analysis (identifying positive & negative sentiments).

Explore the data within each column to gain insights into complex relationships and patterns among the text and meta data provided in the dataset.

Use these insights to develop algorithms that can process both related text and meta-data for further use in real-world applications & machine learning models.

Test your algorithms with various datasets to ensure it works as desired for whatever problem you are trying to solve with it

Research Ideas

Text summarization –generating summaries from text data to provide concise information about the topic.

Review analysis – extracting sentiment from reviews to better understand customer opinions and reactions to products or services.

Sentiment classification – identifying and labeling emotions conveyed in the text such as those of happiness, sadness, anger, fear etc

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
text	Text data from documents. (String)
meta	Metadata associated with each document. (Object)

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_text_and_meta_data_analysis.train

313.54 MB
100000 rows
2 columns


CREATE TABLE train (
  "text" VARCHAR,
  "meta" VARCHAR
);