The content snippets suggest that the file at `/mnt/data/file-bUu0Z43ycur2AwS9CxFDSwqv` appears to be a Markdown (`.md`) file, most likely the README, given the mention of a header block generated by a script, which is common in README files. The other file at `/mnt/data/file-kIaxQxMD6kQGHHa3YaeFz67Z` is in JSON format (`task.json`), containing metadata and examples related to the dataset.

From the hint, we need to compare the counts of stories, 'Yes' answers, and 'No' answers mentioned in both files to identify any quantitative discrepancies. 

To do this, we'll:
1. Parse the README.md file to extract any relevant counts (stories, 'Yes' answers, 'No' answers).
2. Parse the task.json file to actually count these elements.
3. Compare these counts and identify discrepancies based on the hint provided. 

Let's proceed by parsing the README.md contents first for relevant counts and then counting the same elements in task.json.Based on the analysis, the following issues are identified:

1. Mismatch in count of stories:
   - **issue**: "Mismatch in count of stories"
   - **evidence**: "194 stories" from README
   - **description**: "The README states there are 194 stories, but the actual count in `task.json` is 190. This discrepancy might lead to confusion about the dataset's scope and size."

2. Incorrect 'Yes' answers count:
   - **issue**: "Incorrect 'Yes' answers count in README"
   - **evidence**: "0 'Yes' answers" from README
   - **description**: "The README claims there are 0 'Yes' answers, which is inconsistent with the data found in `task.json`, where there are actually 99 'Yes' answers. Such inaccuracies may affect the dataset's perceived validity and utility."

3. Incorrect 'No' answers count:
   - **issue**: "Incorrect 'No' answers count in README"
   - **evidence**: "0 'No' answers" from README
   - **description**: "According to the README, there are 0 'No' answers in the dataset. However, `task.json` contains 91 'No' answers. This issue could potentially mislead users about the dataset's content and structure."

These issues point to significant quantitative discrepancies between the README.md and task.json files concerning the counts of stories, 'Yes' answers, and 'No' answers, leading to potential misunderstandings or misinterpretations of the dataset's details.