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.