Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Added an option to add prompt to the logprobs #147

Merged
merged 2 commits into from
May 30, 2024
Merged

Added an option to add prompt to the logprobs #147

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
057baed
added prompt to logprob json to help with downstream processing
rishsriv May 30, 2024
faae29d
linting
rishsriv May 30, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
16 changes: 7 additions & 9 deletions eval/api_runner.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -270,22 +270,14 @@ def run_api_eval(args):
)

output_df = pd.DataFrame(output_rows)
del output_df["prompt"]

print(output_df.groupby("query_category")[["correct", "error_db_exec"]].mean())
output_df = output_df.sort_values(by=["db_name", "query_category", "question"])
# get directory of output_file and create if not exist
output_dir = os.path.dirname(output_file)
if not os.path.exists(output_dir):
os.makedirs(output_dir)

with open(output_file.replace(".csv", ".json"), "w") as f:
json.dump(output_df.to_dict("records"), f)

try:
output_df.to_csv(output_file, index=False, float_format="%.2f")
except:
output_df.to_pickle(output_file)

if logprobs:
print(
f"Writing logprobs to JSON file at {output_file.replace('.csv', '.json')}"
Expand All @@ -297,6 +289,12 @@ def run_api_eval(args):
) as f:
json.dump(results, f)

del output_df["prompt"]
try:
output_df.to_csv(output_file, index=False, float_format="%.2f")
except:
output_df.to_pickle(output_file)

# upload results
# with open(prompt_file, "r") as f:
# prompt = f.read()
Expand Down
Loading