count-dataset-tokens

What problem does it solve?

This Skill provides clear guidance on how to accurately count tokens within datasets, especially when dealing with specific tokenizers and filtering requirements.

Core Features & Use Cases

• Token Counting: Accurately count tokens in HuggingFace or similar datasets.
• Data Filtering: Filter datasets by domain, category, or other specific fields.
• Tokenizer Application: Use specified tokenizers (e.g., Qwen, DeepSeek, GPT) for precise counting.
• Use Case: You need to determine the total token count for all 'technology' related articles in a large text dataset using the 'gpt2' tokenizer.

Quick Start

Use the count-dataset-tokens skill to count tokens in the 'wikipedia' dataset, filtering for the 'science' domain using the 'bert-base-uncased' tokenizer.