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Subsets and Splits
Information Extraction Entries
Retrieves all training examples labeled as 'information_extraction' which provides basic filtering but doesn't reveal meaningful patterns or relationships in the data.
Count Information Extraction Entries
Counts the number of training examples in the information extraction category, providing basic dataset balance information but offering limited analytical insight.
Category Samples Summary
Randomly samples 100 examples from each of four task categories to create a balanced subset, which helps in fair comparison across different NLP tasks but doesn't reveal deeper patterns or relationships in the data.
Travel-related Queries
Retrieves all records containing travel-related keywords in the instruction, context, or response, providing a basic filter for travel-related data.
Sample Prompts and Completions
Retrieves a sample of 12,000 rows showing prompts and their corresponding completions, providing a basic overview of the dataset's content.
Sample Prompts and Completions
Retrieves a sample of 4000 prompts and their corresponding completions, providing a basic overview of the dataset's content.
Machine Learning Instructions & Responses
Retrieves a limited set of entries where the instruction or response contains the phrase "machine learning", providing basic filtering of relevant data.
Short Responses Filter
The query filters responses to those under 2048 characters in length, providing basic filtering with limited analytical value.