Fable
The little booklet next to each bag of seeds
Next to the herbal medicine shop was a seed warehouse. In the past the warehouse only wrote the name and weight on the bag, and whoever needed it took it. When the harvest was poor, no one knew where the seeds came from, what they had been mixed with, or which field they suited.
A new farmer scattered a bag of northern seeds onto damp lowland, and a large area grew moldy. He complained that the seeds were poor, but the warehouse could not produce the collection season, handling method, or applicable conditions. The warehouse keeper first stuck more labels on the bag. The labels multiplied, yet remained scattered: some said origin, some said year, some said use, with no unified structure.
The old farmer required each bag of seeds to come with a booklet: why it was collected, by whom, which varieties it contains, whether there are gaps, how it is cleaned, what uses it is suitable for, what uses are prohibited, and who it might harm.
This booklet changed how it was used. Before training a new machine, engineers could judge whether the data covered the target customers; compliance teams could check authorization and privacy; product teams could identify bias.
When the machine behaved abnormally once, the booklet helped the team discover that the training data came almost entirely from peak-season customer service and lacked off-season return scenarios. The problem was not the machine's structure, but that the data source was skewed. The warehouse also required the booklet to be updated with the data. Adding sources, deleting sensitive fields, and changing cleaning rules all had to leave version records.
The old pharmacist had the warehouse keeper change the approach. Next to each bag of seeds, a small booklet in the same format had to be placed: who collected it, when it was sun-dried, what was mixed in, which fields it was trial-planted in, and who should not use it.
The first batch of booklets was written in a very cumbersome way, and the farmers found it troublesome. It was not until a sack of high-mountain seeds was about to be sent to the lowlands that an apprentice checked the booklet, saw "damp ground tends to mold," and promptly switched varieties, and everyone quieted down. This small incident made everyone stop and review. They did not rush to replace it with a louder slogan, but instead wrote down one by one the entry points that had gone wrong, the rules that had been misunderstood, and the boundaries that needed to be preserved.
Later, when problems arose with the seeds, there was much less arguing. People no longer only asked whether the bag's name sounded good, but first looked at where the contents came from, their boundaries, and the scars they had left behind. The seed warehouse finally understood that a dataset is not a bag of silent material. Without instructions, every subsequent training and evaluation run is a gamble.