update DATA_DIR to DOLMA_DATA_DIR

README.md

@@ -91,15 +91,15 @@ The fastest way to download Dolma is to clone this repository and use the files
 We recommend using wget in parallel mode to download the files. For example:
 
 ```bash
-DATA_DIR="<path_to_your_data_directory>"
+DOLMA_DATA_DIR="<path_to_your_data_directory>"
 PARALLEL_DOWNLOADS="<number_of_parallel_downloads>"
 DOLMA_VERSION="<version_of_dolma_to_download>"
 
 git clone https://huggingface.co/datasets/allenai/dolma
-mkdir -p "${DATA_DIR}"
+mkdir -p "${DOLMA_DATA_DIR}"
 
 
-cat "dolma/urls/${DOLMA_VERSION}.txt" | xargs -n 1 -P "${PARALLEL_DOWNLOADS}" wget -q -P "$DATA_DIR"
+cat "dolma/urls/${DOLMA_VERSION}.txt" | xargs -n 1 -P "${PARALLEL_DOWNLOADS}" wget -q -P "$DOLMA_DATA_DIR"
 ```
 
 Then, to load this data using HuggingFace's `datasets` library, you can use the following code:
@@ -108,7 +108,7 @@ Then, to load this data using HuggingFace's `datasets` library, you can use the
 import os
 from datasets import load_dataset
 
-os.environ["DATA_DIR"] = "<path_to_your_data_directory>"
+os.environ["DOLMA_DATA_DIR"] = "<path_to_your_data_directory>"
 dataset = load_dataset("allenai/dolma", split="train")
 ```