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[patch] Reduce NaN Occurrences by Simple Prompt Modification for JSON Output for context_precision #581

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Merged
merged 5 commits into from
Feb 11, 2024
Merged

[patch] Reduce NaN Occurrences by Simple Prompt Modification for JSON Output for context_precision #581

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55064c2
ensure dict type
shahules786 Feb 9, 2024
19cab75
symple change for context precision
i-w-a Feb 9, 2024
1ae2319
Merge branch 'main' of github.com:explodinggradients/ragas
shahules786 Feb 9, 2024
da6d9ca
add JSON instruction
shahules786 Feb 9, 2024
8ef1bd9
Merge pull request #1 from shahules786/dev#json-imp
i-w-a Feb 10, 2024
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7 changes: 6 additions & 1 deletion src/ragas/llms/prompt.py
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Original file line number Diff line number Diff line change
Expand Up @@ -91,7 +91,12 @@ def to_string(self) -> str:
"""
Generate the prompt string from the variables.
"""
prompt_str = self.instruction + "\n"
added_json_instruction = (
"\nOutput in only valid JSON format."
if self.output_type.lower() == "json"
else ""
)
prompt_str = self.instruction + added_json_instruction + "\n"

if self.examples:
# Format the examples to match the Langchain prompt template
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2 changes: 1 addition & 1 deletion src/ragas/metrics/_context_precision.py
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Expand Up @@ -18,7 +18,7 @@

CONTEXT_PRECISION = Prompt(
name="context_precision",
instruction="""Given question, answer and context verify if the context was useful in arriving at the given answer. Give verdict as "1" if useful and "0" if not. """,
instruction="""Given question, answer and context verify if the context was useful in arriving at the given answer. Give verdict as "1" if useful and "0" if not with json output. """,
examples=[
{
"question": """What can you tell me about albert Albert Einstein?""",
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