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from dataclasses import dataclass
import pandas as pd
@dataclass
class ColumnContent:
name: str
type: str
displayed_by_default: bool
hidden: bool = False
def fields(raw_class):
return [v for k, v in raw_class.__dict__.items() if k[:2] != "__" and k[-2:] != "__"]
@dataclass(frozen=True)
class AutoEvalColumn: # Auto evals column
model = ColumnContent("Models", "markdown", True)
re2text_easy = ColumnContent("Re2Text-Easy", "number", True)
text2re_easy = ColumnContent("Text2Re-Easy", "number", True)
re2text_hard = ColumnContent("Re2Text-Hard", "number", True)
text2re_hard = ColumnContent("Text2Re-Hard", "number", True)
avg = ColumnContent("Avg", "number", True)
model_size = ColumnContent("Model Size", "markdown", True)
link = ColumnContent("Links", "str", False)
def model_hyperlink(link, model_name):
return f'<a target="_blank" href="{link}" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">{model_name}</a>'
def make_clickable_names(df):
df["Models"] = df.apply(
lambda row: model_hyperlink(row["Links"], row["Models"]), axis=1
)
return df
def make_plot_data(df, task):
c = []
x = []
y = []
for i in df.index:
c.append(df.loc[i, "pure_name"])
x.append(f"{task}-Easy")
y.append(df.loc[i, f"{task}-Easy"])
c.append(df.loc[i, "pure_name"])
x.append(f"{task}-Hard")
y.append(df.loc[i, f"{task}-Hard"])
data = pd.DataFrame(
{
"Symbol": c,
"Setting": x,
"Accuracy": y,
}
)
return data
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