Update README.md to clarify separate datasets and model download commands

Author: nathanw-mlc

language/deepseek-r1/README.md

@@ -13,6 +13,22 @@ You can also do pip install mlc-scripts and then use `mlcr` commands for downloa
 - DeepSeek-R1 model is automatically downloaded as part of setup
 - Checkpoint conversion is done transparently when needed.
 
+**Using MLC R2 Downloader**
+
+Download the model using the MLC R2 Downloader:
+
+```bash
+bash <(curl -s https://raw.githubusercontent.com/mlcommons/r2-downloader/refs/heads/main/mlc-r2-downloader.sh) \
+  https://inference.mlcommons-storage.org/metadata/deepseek-r1-0528.uri
+```
+
+To specify a custom download directory, use the `-d` flag:
+```bash
+bash <(curl -s https://raw.githubusercontent.com/mlcommons/r2-downloader/refs/heads/main/mlc-r2-downloader.sh) \
+  -d /path/to/download/directory \
+  https://inference.mlcommons-storage.org/metadata/deepseek-r1-0528.uri
+```
+
 ## Dataset Download
 
 The dataset is an ensemble of the datasets: AIME, MATH500, gpqa, MMLU-Pro, livecodebench(code_generation_lite). They are covered by the following licenses:
@@ -23,24 +39,17 @@ The dataset is an ensemble of the datasets: AIME, MATH500, gpqa, MMLU-Pro, livec
 - MMLU-Pro: [MIT](https://opensource.org/license/mit)
 - livecodebench(code_generation_lite): [CC](https://creativecommons.org/share-your-work/cclicenses/)
 
-### Preprocessed
-
-**Using MLCFlow Automation**
-
-```
-mlcr get,dataset,whisper,_preprocessed,_mlc,_rclone --outdirname=<path to download> -j
-```
+### Preprocessed & Calibration
 
-**Using Native method**
+**Using MLC R2 Downloader**
 
 Download the preprocessed dataset using the MLCommons downloader:
 
 ```bash
-bash <(curl -s https://raw.githubusercontent.com/mlcommons/r2-downloader/refs/heads/main/mlc-r2-downloader.sh) \
-  https://inference.mlcommons-storage.org/metadata/deepseek-r1-datasets-fp8-eval.uri
+bash <(curl -s https://raw.githubusercontent.com/mlcommons/r2-downloader/refs/heads/main/mlc-r2-downloader.sh) -d ./ https://inference.mlcommons-storage.org/metadata/deepseek-r1-datasets-fp8-eval.uri
 ```
 
-This will download the dataset file `mlperf_deepseek_r1_dataset_4388_fp8_eval.pkl`.
+This will download both the full preprocessed dataset (`mlperf_deepseek_r1_dataset_4388_fp8_eval.pkl`) and the calibration dataset (`mlperf_deepseek_r1_calibration_dataset_500_fp8_eval.pkl`).
 
 To specify a custom download directory, use the `-d` flag:
 ```bash
@@ -49,30 +58,20 @@ bash <(curl -s https://raw.githubusercontent.com/mlcommons/r2-downloader/refs/he
   https://inference.mlcommons-storage.org/metadata/deepseek-r1-datasets-fp8-eval.uri
 ```
 
-### Calibration
+### Preprocessed
 
 **Using MLCFlow Automation**
 
 ```
-mlcr get,preprocessed,dataset,deepseek-r1,_calibration,_mlc,_rclone --outdirname=<path to download> -j
+mlcr get,dataset,whisper,_preprocessed,_mlc,_rclone --outdirname=<path to download> -j
 ```
 
-**Using Native method**
+### Calibration
 
-Download the calibration dataset using the MLCommons downloader:
+**Using MLCFlow Automation**
 
-```bash
-bash <(curl -s https://raw.githubusercontent.com/mlcommons/r2-downloader/refs/heads/main/mlc-r2-downloader.sh) \
-  https://inference.mlcommons-storage.org/metadata/deepseek-r1-0528.uri
 ```
-
-This will download the calibration dataset file `mlperf_deepseek_r1_calibration_dataset_500_fp8_eval.pkl`.
-
-To specify a custom download directory, use the `-d` flag:
-```bash
-bash <(curl -s https://raw.githubusercontent.com/mlcommons/r2-downloader/refs/heads/main/mlc-r2-downloader.sh) \
-  -d /path/to/download/directory \
-  https://inference.mlcommons-storage.org/metadata/deepseek-r1-0528.uri
+mlcr get,preprocessed,dataset,deepseek-r1,_calibration,_mlc,_rclone --outdirname=<path to download> -j
 ```
 
 ## Docker