[BUG-python/deployment] ranking question's results are not saved correctly.

[yichuan5]

Describe the bug
After the users submit the ranking through UI, the ranking order is NOT saved correctly. All ranking orders are saved as ["1","2","3"], regardless of actual user input.

Stacktrace and Code to create the bug

import pandas as pd
import argilla as rg

client = rg.Argilla(
    api_url="http://localhost:6900",
    api_key="argilla.apikey",
)

# Define settings for the Argilla dataset
settings = rg.Settings(
    guidelines="Please read the prompt carefully and choose the best response(s).",
    fields=[
        rg.TextField(name="prompt", required=True, use_markdown=True),
        rg.TextField(name="Golden Answer", required=True, use_markdown=True),
        rg.TextField(name="Response 1", required=True, use_markdown=True),
        rg.TextField(name="Response 2", required=True, use_markdown=True),
        rg.TextField(name="Response 3", required=True, use_markdown=True),
    ],
    questions=[
        rg.RankingQuestion (
            name="x",
            values=["1","2","3"],
            title="?",
            description="x",
            required=True,
        )
    ],
    allow_extra_metadata=True,
    distribution=rg.TaskDistribution(min_submitted=1),
)

dataset_name = "test"
dataset = rg.Dataset(
    name=dataset_name,
    workspace="default",
    settings=settings,
)

dataset.create()

def load_data_to_argilla(df):
    records = []
    for _, row in df.head(1).iterrows():
        prompt = row["Question"]
        golden = row["Golden Answer"]
        xxx = row["xxx"]
        yyy = row["yyy"]
        zzz = row["zzz"]
        response_1, response_2, response_3=  xxx, yyy, zzz

        record = rg.Record(
            fields={
                "prompt": prompt,
                "Golden Answer" : golden,
                "Response 1": response_1,
                "Response 2": response_2,
                "Response 3": response_3,
            }
        )
        records.append(record)
    return records


df = pd.read_excel("test.xlsx")

# Log records to Argilla
records = load_data_to_argilla(df)
dataset.records.log(records)

Environment:

• Argilla Version [2.4.0]:
• Docker Image argilla/argilla-server :[2.4.1]:
• elasticsearch : 8.12.2