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When an output sequence is divided into $$n_s$$ segments for granular evaluation, the collection of these segments is denoted by the set $$\{\bar{\mathbf{y}}_1, \dots, \bar{\mathbf{y}}_{n_s}\}$$. Each element $$\bar{\mathbf{y}}_i$$ in the set represents an individual segment.

Notation for a Set of Output Segments

An AI-generated paragraph is divided into 4 distinct sentences for a more detailed evaluation. If the complete set of these sentences is represented as ${\bar{\mathbf{y}}_1, \bar{\mathbf{y}}_2, \bar{\mathbf{y}}_3, \bar{\mathbf{y}}_4}$, what does the term $\bar{\mathbf{y}}_2$ specifically denote in this context?

An AI model generates a three-sentence summary. For a detailed evaluation, this summary is divided into its individual sentences. How would you represent the complete collection of these three sentence segments using the standard set notation discussed for granular evaluation?

Applying Segment Notation

In the context of evaluating a generated output that has been divided into parts, the notation ${\bar{\mathbf{y}}_1, \dots, \bar{\mathbf{y}}_{n_s}}$ is used to represent the collection of these parts. The term $n_s$ in this notation represents the total number of tokens in the entire output.

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