Datasets:
Tasks:
Text Classification
Formats:
parquet
Languages:
English
Size:
1K - 10K
Tags:
structured-decisions
calibration
probabilistic-classification
system-one
workflow-evaluation
Synthetic
License:
card: point usage examples at the canonical org path
Browse files
README.md
CHANGED
|
@@ -118,8 +118,8 @@ request. You can replay a row without reshaping it.
|
|
| 118 |
from datasets import load_dataset
|
| 119 |
import json
|
| 120 |
|
| 121 |
-
ds = load_dataset("
|
| 122 |
-
tr = load_dataset("
|
| 123 |
row = ds[0]
|
| 124 |
|
| 125 |
state = json.loads(row["state"])
|
|
|
|
| 118 |
from datasets import load_dataset
|
| 119 |
import json
|
| 120 |
|
| 121 |
+
ds = load_dataset("LocalLLaMA/typed-decisions", "customer_service", split="test") # benchmark
|
| 122 |
+
tr = load_dataset("LocalLLaMA/typed-decisions", "customer_service", split="train") # training data
|
| 123 |
row = ds[0]
|
| 124 |
|
| 125 |
state = json.loads(row["state"])
|