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Subsets and Splits
QMSum Test Data with Prompt Information
Filters and joins test data with specific token count ranges to analyze prompts used in similar input lengths, providing moderate analytical value for understanding prompt consistency.
Validation Data with Prompt Matching and Token Count Filtering
Filters validation data by token count and joins with prompts to analyze high-token inputs, providing useful context for understanding large-scale text processing patterns.
QMSum Dataset Training Data with Prompt Context
Combines training data with prompts based on matching IDs, filtering for specific token count ranges to analyze training examples with their corresponding prompts.
QMSum Training Data with Specific Token Count Range
This query filters training examples based on token count range, providing basic sampling of longer sequences but offering limited analytical insight into the dataset's characteristics.