MASBA: A Large-Scale Dataset for Multi-Level Abstractive Summarization of Bangla Articles

Our research hypothesis is to evaluate the effectiveness of different Bangla text summarization methods compared to the original text ('main'). The data shows that: - The average length of the main text is 2482.72 characters. - The average length of the summaries are: - sum1: 293.75 characters, - sum2: 506.10 characters, - sum3: 688.50 characters. The compression ratio of each summary method (summary length divided by main length) reveals that: - sum1's mean compression ratio is 0.14, - sum2's mean compression ratio is 0.24, and - sum3's mean compression ratio is 0.33. Notable findings: - sum1 appears to be the shortest summary on average, with a higher degree of compression. - sum2 produces summaries of medium length, while sum3 tends to generate the longest summaries. Data Gathering and Interpretation: The data can be interpreted to assess which method produces the most concise, yet meaningful, summaries. Researchers can use these findings to evaluate the trade-offs between summary length and completeness of information conveyed.