machine-readable data collection
C7137
concept
A machine-readable data collection is an organized set of data stored in a structured digital format that can be automatically processed and interpreted by computer systems without human intervention.
All labels observed (6)
| Label | Occurrences |
|---|---|
| dataset | 2 |
| machine-readable API format | 1 |
| machine-readable data collection canonical | 1 |
| operational data | 1 |
| tabular data abstraction | 1 |
| web crawl corpus | 1 |
Description generation (CDg)
The one-sentence description above was generated by prompting gpt-5.1 with the class name and this instruction.
Instruction
generate a one-sentence description for a given conceptual class. # Response Format Return only the sentence: "Description: [one-sentence description of the conceptional class]"
Input
Class: machine-readable data collection
Generated description
A machine-readable data collection is an organized set of data stored in a structured digital format that can be automatically processed and interpreted by computer systems without human intervention.
Instances (7)
| Instance | Via concept surface |
|---|---|
| Common Crawl | web crawl corpus |
| FBI operational data | operational data |
| Unicode Character Database | — |
| EMNIST | dataset |
| DataView | tabular data abstraction |
| MNIST | dataset |
| OpenAPI | machine-readable API format |