json264 B
Confusion Matrix — 3-class (JSON)
The same 3-class confusion matrix as JSON — a labels array plus a nested counts matrix. The structured twin of the CSV, for testing evaluation tooling.
Preview — first 26 linesjson
{
"labels": [
"person",
"car",
"tree"
],
"matrix": [
[
48,
3,
1
],
[
4,
51,
2
],
[
2,
1,
44
]
],
"layout": "rows=actual, cols=predicted"
}
Specifications
- Classes
- 3
- Labels
- person, car, tree
- Layout
- rows = actual, columns = predicted
What is a .json file?
JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.
How to use this file
Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.
Code examples
import json
with open("confusion-matrix.json") as f:
data = json.load(f)
print(type(data), len(data))Related files
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Generated by generation/ai_datasets.py. Free for any use, no attribution required — license.