Upload metric.py
Browse files
metric.py
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import openai
|
| 2 |
+
openai.api_key = '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'
|
| 3 |
+
|
| 4 |
+
def compute_metric(params):
|
| 5 |
+
public_score = 0
|
| 6 |
+
private_score = 0
|
| 7 |
+
|
| 8 |
+
response = openai.Completion.create(
|
| 9 |
+
engine="text-davinci-003",
|
| 10 |
+
prompt="Rank the following statement on accuracy, with 10 being the most accurate and 0 the least: 'World War 2 ended in 1954.'\nScore:",
|
| 11 |
+
temperature=0,
|
| 12 |
+
max_tokens=1,
|
| 13 |
+
)
|
| 14 |
+
|
| 15 |
+
public_score = int(response.choices[0].text.strip())
|
| 16 |
+
|
| 17 |
+
metric_dict = {
|
| 18 |
+
"public_score": {"metric1": public_score},
|
| 19 |
+
"private_score": {"metric1": private_score}
|
| 20 |
+
}
|
| 21 |
+
|
| 22 |
+
return metric_dict
|