import os
import pandas as pd
from datasets import Dataset, Image, Features, Value


df = pd.read_json("data/metadata.jsonl", lines=True)


def get_full_path(file_name):
    return os.path.join(os.getcwd(), "data", file_name)

df['image_path'] = df['file_name'].apply(get_full_path)

# 3. binary
def __force_embed_image(example):
    
    with open(example["image_path"], "rb") as f:
        image_bytes = f.read()
    return {"image": {"bytes": image_bytes}}


ds = Dataset.from_pandas(df)


ds = ds.map(__force_embed_image, remove_columns=["image_path"], num_proc=1) 


ds = ds.cast_column("image", Image())


ds.to_parquet("violin-test.parquet")