def load_retrieved()

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