SulRash/huggingface-text-data-analyzer

Analyzes text datasets from huggingface for training LLMs!

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/ 100
Experimental

This tool helps AI developers and researchers understand the characteristics of text datasets from Hugging Face before using them to train large language models. It takes a dataset, optionally with a tokenizer, and outputs detailed reports on text length, word distribution, junk content, part-of-speech tags, named entities, language, and sentiment. This helps you quickly assess data quality and relevance for your specific model training goals.

No commits in the last 6 months. Available on PyPI.

Use this if you need to thoroughly inspect and profile a Hugging Face text dataset to ensure its suitability for training a large language model, or to identify areas for data cleaning and preprocessing.

Not ideal if you are looking for a general-purpose text analysis tool for small, non-Hugging Face datasets or for deep qualitative research that requires nuanced manual interpretation.

LLM training dataset analysis NLP data quality text preprocessing
Stale 6m
Maintenance 0 / 25
Adoption 4 / 25
Maturity 25 / 25
Community 0 / 25

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Stars

8

Forks

Language

Python

License

Apache-2.0

Last pushed

Dec 06, 2024

Commits (30d)

0

Dependencies

9

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/SulRash/huggingface-text-data-analyzer"

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