in evaluation_pipeline/evaluation.py [0:0]
def load_retrieved(file_path):
df = pd.read_csv(file_path,
converters={
'relevant_docs': convert_to_list,
'retrieved_ids': convert_to_list,
'combined_text': convert_to_list,
'retrieved_distances': convert_to_list,
})
k = df['k'].max()
model_name = df['model_name'].unique()[0]
model_name_normalized = model_name.replace("/","_").replace("-","_").replace(".","_")
df['combined_text'] = get_combined_texts_uniform_k(df, k)
return df, k, model_name_normalized