[Issue]: Getting the same result (output) after giving a seperate different input CSV file in examples> custom_input >run.py

[akarim23131]

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Describe the issue

I am implementing basic examples, the original workflow and run.py worked perfectly well for custome_input in examples. But when I try to give it my own input csv file, in the same format as the workflow accept. So, instead of giving the different output, it gives me the same result.
Below is the modifications I made in run.py file

` Function to load the dataset from a CSV file
def _load_dataset_from_csv(file_path: str) -> pd.DataFrame:
dataset = pd.read_csv(file_path)
print("Loaded dataset:")
print(dataset.head()) # Print the first few rows to confirm dataset loading
return dataset

Async function to run the pipeline

async def run():
# Load the dataset from a CSV file (update the path with your file location)
dataset = _load_dataset_from_csv(r"C:\Users\Aabid Karim\Desktop\NFQS research literature\Graph_Rag_Implentation\Examples_custome_input\input_data.csv") # Replace with your CSV file path`

Steps to reproduce

No response

GraphRAG Config Used

YML
import asyncio import os import pandas as pd from graphrag.index import run_pipeline_with_config

import os
import pandas as pd
from graphrag.index import run_pipeline_with_config

Logs and screenshots

Screenshot of my output

Screenshot of csv format

Additional Information

• GraphRAG Version: v0.1.1
• Operating System: Windows 11
• Python Version: 3.12
• Related Issues: