Made small changes to repo README and sr-eval/README, added proper pr…

…eds directory.

README.md

@@ -9,6 +9,7 @@ Each subdirectory of the repository is an evaluation task within the project. Ea
 * golds - The gold-truth standard, humanly-annotated files by which apps are evaluated for predictive ability. 
   * often are `.tsv` or `.csv` or `.txt`. 
 * preds/predictions - The app-predicted files with predicted-annotations of what phenomena are to be evaluated. (e.g. time durations for slate detection.)
+  * each preds directory represents a batch, with naming conventions as follows:`preds@<APP_NAME><APP_VER>@<BATCH_NAME>`
   * are always `.mmif` files with app views. 
 #### Outputs to Evaluations
 * results - This should be the result system output of the evaluation numbers from a finished evaluation. 

sr-eval/README.md

@@ -7,8 +7,8 @@ To run this evaluation script, you need the following:
 
 * Set of predictions in MMIF format (either from the preds folder in this repo
 or generated from the [SWT app](https://github.com/clamsproject/app-swt-detection) )
-* Set of golds in csv format (either the golds directory in this repo or downloaded from the annotations repository
-using goldretriever.py, or your own set that exactly matches the format of the included golds.)
+* Set of golds in csv format (either downloaded from the annotations repository
+using goldretriever.py, or your own set that exactly matches the format present in [aapb-annotations](https://github.com/clamsproject/aapb-annotations/tree/main/scene-recognition/golds))
 
 There are three arguments when running the script: `-mmif-dir`, `-gold-dir`, and `count-subtypes`.
 The first two are directories that contain the predictions and golds, respectively. The third is a boolean value that