Food security is crucial to human survival, and this article's proposed large-scale fine-resolution single-season rice mapping method is meaningful. However, there are some questions or problems:

1. This article uses SAR data in multi-cloud pixels, which is indeed not affected by clouds and mist. However, SAR images are affected by salt-and-pepper noise, can filtering or homogeneous sample point selection method be considered for denoising?
2. The compatibility issue between the SAR VH band and the optical image's SWIR1 band needs to be solved, and a clearer explanation is needed. How do you prove that your processing method regarding this is feasible?
3. How does this article handle data of different resolutions (such as 10m and 20m)?
4. Are formulas 3 and 4 referenced? The explanation of formula 3 and its parameters should be more specific.
5. In line 217, figure 8a and 8c is not exist, this issue needs to be thoroughly checked.
6. The distribution of statistical data in 2017 is different from that in other years. Is it a problem of data processing?

This manuscript introduces a set of single-season rice map data in China, which has potential implications for food security and agricultural planning. The method and results are well presented. The data described in the paper is accessible and reusable. However, there are several points that require further clarification:

1. The study area encompasses 21 provinces in China. Could the authors elaborate on why other regions, such as the Northwestern region, were not included in the study?

2. The manuscript mentions a planting frequency map. Is this map available for download? I was unable to locate it in the provided data repository.

3. Figure 9 presents a comparison between the UAV image and the rice mapping result, but the comparison is hard to interpret. I recommend using the UAV image as the base map in subfigures d-f to facilitate clearer comparisons.

4. The discussion section appears lengthy and unstructured. I suggest reorganizing this section and categorizing the discussion into subsections according to the topic.

5. Most importantly, the paper lacks a description of data sustainability, which is crucial for readers intending to reuse the data. The current data set includes the mapping result for 2017-2022. Are there plans to continue the project in subsequent years? It is unfortunate that many projects and data were discontinued after the paper was published. So I highly recommend including a data management plan in the manuscript, particularly given its submission to a scientific data journal. For instance, if the project is to continue, what is the operational plan? If not, how can users reproduce the data independently?