FEA-Bench / testbed /embeddings-benchmark__mteb /docs /mmteb /create_points_table.py
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import json
from pathlib import Path
import pandas as pd
def load_data(file_path: Path) -> pd.DataFrame:
file_path = Path(__file__).parent / "points"
files = file_path.glob("*.jsonl")
json_data = []
for file in files:
with open(file) as f:
for line in f:
json_data.append(json.loads(line))
df = pd.DataFrame(json_data)
return df
def save_to_markdown(df: pd.DataFrame, file_path: Path) -> None:
df = df.groupby("GitHub").sum().astype(int)
# create a new column with the sum of the points
df["Total"] = df.sum(axis=1)
# sort the dataframe by the total points
df = df.sort_values("Total", ascending=False)
md = df.to_markdown()
# add title
md = f"# Points\n\n_Note_: this table is **autogenerated** and should not be edited. It is intended to get an overview of contributions.\n\n {md}"
with open(file_path, "w") as f:
f.write(md)
if __name__ == "__main__":
file_path = Path(__file__).parent / "points"
save_path = Path(__file__).parent / "points_table.md"
df = load_data(file_path)
save_to_markdown(df, save_path)