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@@ -103,14 +103,12 @@ The dataset can be utilized within a Bayesian framework to enhance the predictiv
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  ### Curation Rationale
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  The creation of this dataset stems from the increased popularity of long-term care (LTC) products amid rising longevity rates. It aims to provide insights into the trends and patterns of the claim filing process. The expansion of the LTC product line necessitates that insurance companies establish more accurate reserves to ensure financial health and sustainability. This dataset is pivotal in laying the groundwork for such analysis.
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  From my experience as a data analysis and administration intern at RGA, I understand the difficulties that arise from inadequate reserve practices and the lack of precise predictions in claim filings. These challenges underscore the need for a robust dataset that allows for comprehensive research into these critical areas. By leveraging this dataset, we can enhance the precision of actuarial predictions and reserve estimations, thereby contributing to the stability and efficiency of LTC insurance operations.
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  ### Source Data
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- <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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  #### Data Collection and Processing
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  #### Who are the source data producers?
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- <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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- [More Information Needed]
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  #### Personal and Sensitive Information
 
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  ### Curation Rationale
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  The creation of this dataset stems from the increased popularity of long-term care (LTC) products amid rising longevity rates. It aims to provide insights into the trends and patterns of the claim filing process. The expansion of the LTC product line necessitates that insurance companies establish more accurate reserves to ensure financial health and sustainability. This dataset is pivotal in laying the groundwork for such analysis.
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  From my experience as a data analysis and administration intern at RGA, I understand the difficulties that arise from inadequate reserve practices and the lack of precise predictions in claim filings. These challenges underscore the need for a robust dataset that allows for comprehensive research into these critical areas. By leveraging this dataset, we can enhance the precision of actuarial predictions and reserve estimations, thereby contributing to the stability and efficiency of LTC insurance operations.
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  ### Source Data
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+ The dataset has been meticulously compiled by the Society of Actuaries, drawing from a wealth of information provided by various insurance companies within the industry. This collaboration ensures a rich and diverse collection of data, encompassing a wide range of long-term care insurance policies, claims, and termination details.
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  #### Data Collection and Processing
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  #### Who are the source data producers?
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+ - Society of Actuaries(SOA)
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+ - American Academy of Actuaries
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+ - Canadian Institute of Actuaries
 
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  #### Personal and Sensitive Information