docs: update the --data_config flag to --data_config_path (foundation-model-stack#522)

Signed-off-by: Harikrishnan Balagopal <harikrishmenon@gmail.com>

Author: HarikrishnanBalagopal

docs/advanced-data-preprocessing.md

@@ -9,7 +9,7 @@ These things are supported via what we call a [`data_config`](#data-config) whic
 
 ## Data Config
 
-Data config is a configuration file which `sft_trainer.py` supports as an argument via `--data_config` flag. In this 
+Data config is a configuration file which `sft_trainer.py` supports as an argument via `--data_config_path` flag. In this
 configuration users can describe multiple datasets, configurations on how to load the datasets and configuration on how to 
 process the datasets. Users can currently pass both YAML or JSON based configuration files as data_configs.
 

docs/ept.md

@@ -43,7 +43,7 @@ datasets:
 And the commandline passed to the library should include following.
 
 ```
---data_config <path to the data config> --packing=True --max_seq_len 8192
+--data_config_path <path to the data config> --packing=True --max_seq_len 8192
 ```
 
 Please note that for non tokenized dataset our code adds `EOS_TOKEN` to the lines, for e.g. `Tweet` column before passing that as a dataset.
@@ -102,7 +102,7 @@ NOTE: More in-depth documentation of `sampling_stopping_strategy` and how to spe
 Here also the command line arguments would be 
 
 ```
---data_config <path to the data config> --packing=True --max_seq_len 8192
+--data_config_path <path to the data config> --packing=True --max_seq_len 8192
 ```
 
 The code again would add `EOS_TOKEN` to the non tokenized data before using it and also note that the `dataset_text_field` is assumed to be same across all datasets for now.
@@ -131,7 +131,7 @@ datasets:
 The command-line arguments passed to the library should include the following:
 
 ```
---data_config <path to the data config> --packing=True --max_seq_len 8192 --max_steps <num training steps>
+--data_config_path <path to the data config> --packing=True --max_seq_len 8192 --max_steps <num training steps>
 ```
 
 Please note when using streaming, user must pass `max_steps` instead of `num_train_epochs`. See advanced data preprocessing [document](./advanced-data-preprocessing.md#data-streaming) for more info.