fix

Author: robzor92

docs/user_guides/projects/jobs/notebook_job.md

@@ -174,9 +174,9 @@ The following table describes the JSON payload returned by `jobs_api.get_configu
 | `type`                  | string         | Type of the job configuration                        | `"pythonJobConfiguration"` |
 | `appPath`               | string         | Project path to notebook (e.g `Resources/foo.ipynb`) | `null`            |
 | `environmentName`       | string         | Name of the python environment                       | `"pandas-training-pipeline"` |
-| `resourceConfig.cores`  | number (float) | Number of CPU cores allocated                        | `1.0`                    |
-| `resourceConfig.memory` | number (int)   | Number of MBs allocated                              | `2048`                   |
-| `resourceConfig.gpus`   | number (int)   | Number of GPUs allocated                             | `0`                      |
+| `resourceConfig.cores`  | number (float) | Number of CPU cores to be allocated                  | `1.0`                    |
+| `resourceConfig.memory` | number (int)   | Number of MBs to be allocated                        | `2048`                   |
+| `resourceConfig.gpus`   | number (int)   | Number of GPUs to be allocated                       | `0`                      |
 | `logRedirection`        | boolean        | Whether logs are redirected                          | `true`                   |
 | `jobType`               | string         | Type of job                                          | `"PYTHON"`               |
 
@@ -189,7 +189,7 @@ The following table describes the JSON payload returned by `jobs_api.get_configu
 The project datasets are mounted under `/hopsfs`, so you can access `data.csv` from the `Resources` dataset using `/hopsfs/Resources/data.csv` in your notebook.
 
 #### Relative paths
-The script's working directory is the folder it is located in. For example, if it is located in the `Resources` dataset, and you have a file named `data.csv` in that dataset, you simply access it using `data.csv`. Also, if you write a local file, for example `output.txt`, it will be saved in the `Resources` dataset.
+The notebook's working directory is the folder it is located in. For example, if it is located in the `Resources` dataset, and you have a file named `data.csv` in that dataset, you simply access it using `data.csv`. Also, if you write a local file, for example `output.txt`, it will be saved in the `Resources` dataset.
 
 
 ## API Reference