fix readme

README.md

@@ -50,8 +50,8 @@ To run the LLM-Perf Leaderboard locally on your machine, follow these steps:
 First, clone the repository to your local machine:
 
 ```bash
-git clone https://github.com/huggingface/optimum-benchmark.git
-cd optimum-benchmark
+git clone https://huggingface.co/spaces/optimum/llm-perf-leaderboard
+cd llm-perf-leaderboard
 ```
 
 ### 2. Install the Required Dependencies

src/llm_perf.py

@@ -4,6 +4,8 @@ import pandas as pd
 
 from .utils import process_kernels, process_quantizations
 
+DATASET_DIRECTORY = "dataset"
+
 COLUMNS_MAPPING = {
     "config.name": "Experiment 🧪",
     "config.backend.model": "Model 🤗",
@@ -109,16 +111,14 @@ def processed_llm_perf_df(llm_perf_df):
 
 
 def get_llm_perf_df(machine: str = "1xA10"):
-    dataset_directory = 'dataset'
-
-    if not os.path.exists(dataset_directory):
-        os.makedirs(dataset_directory)
+    if not os.path.exists(DATASET_DIRECTORY):
+        os.makedirs(DATASET_DIRECTORY)
 
-    if os.path.exists(f"{dataset_directory}/llm-perf-leaderboard-{machine}.csv"):
-        llm_perf_df = pd.read_csv(f"{dataset_directory}/llm-perf-leaderboard-{machine}.csv")
+    if os.path.exists(f"{DATASET_DIRECTORY}/llm-perf-leaderboard-{machine}.csv"):
+        llm_perf_df = pd.read_csv(f"{DATASET_DIRECTORY}/llm-perf-leaderboard-{machine}.csv")
     else:
         llm_perf_df = get_raw_llm_perf_df(machine)
         llm_perf_df = processed_llm_perf_df(llm_perf_df)
-        llm_perf_df.to_csv(f"{dataset_directory}/llm-perf-leaderboard-{machine}.csv", index=False)
+        llm_perf_df.to_csv(f"{DATASET_DIRECTORY}/llm-perf-leaderboard-{machine}.csv", index=False)
 
     return llm_perf_df