Update README.md

README.md

@@ -46,12 +46,11 @@ DatasetDict({
 ```
 ## How to evaluate your models
 To evaluate code generation capabilities of your models on HumanEval_ru please follow these steps (example is for [Codellama-7b-Python](https://huggingface.co/codellama/CodeLlama-7b-Python-hf)):
-1. Clone and setup [Code Generation LM Evaluation Harness](https://github.com/bigcode-project/bigcode-evaluation-harness)
-2. Copy our files lm_eval/tasks/humaneval_ru.py and lm_eval/tasks/__init__.py to lm_eval/tasks of the cloned repo
-3. Run evaluation (WARNING: generated code is executed, it may be unsafe) with the following command 
+1. Clone and setup [Our fork of Code Generation LM Evaluation Harness](https://github.com/NLP-Core-Team/bigcode-evaluation-harness)
+2. Run evaluation (WARNING: generated code is executed, it may be unsafe) with the following command 
 ```console
-# mkdir -p ./outs/humaneval_ru
-# mkdir -p ./results/humaneval_ru
+mkdir -p ./outs/humaneval_ru
+mkdir -p ./results/humaneval_ru
 accelerate launch main.py \
   --model codellama/CodeLlama-7b-Python-hf \
   --max_length_generation 512 \
@@ -65,7 +64,7 @@ accelerate launch main.py \
   --save_generations_path ./outs/humaneval_ru/codellama-7b-py.json \
   --metric_output_path ./results/humaneval_ru/codellama-7b-py.metrics
 ```
-4. Resulting metrics of Codellama-7b-Python should be
+3. Resulting metrics of Codellama-7b-Python should be
 ```python
 "humaneval_ru": {
   "pass@1": 0.35,