Update [email protected]@240117-aapb-collaboration-27-d.md

changed to permalinks

Author: jyoune

sr-eval/README.md

@@ -7,9 +7,9 @@ The goal is to have a simple way of comparing different results from SWT.
 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) )
+or generated from the [SWT app](https://github.com/clamsproject/app-swt-detection/tree/6b12498fc596327ec47933b7f785044da2f8cf2f)
 * 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))
+using goldretriever.py, or your own set that exactly matches the format present in [aapb-annotations](https://github.com/clamsproject/aapb-annotations/tree/9cbe41aa124da73a0158bfc0b4dbf8bafe6d460d/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
@@ -18,7 +18,7 @@ determines if the evaluation takes into account subtype labels or not.
 * `preds@app-swt-detection<VERSION-NUMBER>@<BATCH-NAME>`.
 
 Note that only the first one is required, as `-gold-dir` defaults to the set of golds downloaded (using `goldretriever`)
-from the [aapb-annotations](https://github.com/clamsproject/aapb-annotations/tree/main/scene-recognition/golds) repo,
+from the [aapb-annotations](https://github.com/clamsproject/aapb-annotations/tree/9cbe41aa124da73a0158bfc0b4dbf8bafe6d460d/scene-recognition/golds) repo,
 and `count-subtypes` defaults to `False`.
 
 # Usage

sr-eval/[email protected]@240117-aapb-collaboration-27-d.md

@@ -3,10 +3,10 @@
 
 ## Report Instance of Evaluation Information
 * 2024-07-03
-* [app-SWT-detection](https://github.com/clamsproject/app-swt-detection), version 5.0
-* [sr-eval golds](https://github.com/clamsproject/aapb-annotations/tree/main/scene-recognition/golds).
-* [[email protected]@240117-aapb-collaboration-27-d](https://github.com/clamsproject/aapb-evaluations/tree/sr-eval-final/sr-eval/preds%40app-swt-detection5.0%40240117-aapb-collaboration-27-d).
-* [sr-eval/evaluation.py](https://github.com/clamsproject/aapb-evaluations/blob/sr-eval-final/sr-eval/evaluate.py).
+* [app-SWT-detection](https://github.com/clamsproject/app-swt-detection/tree/6b12498fc596327ec47933b7f785044da2f8cf2f), version 5.0
+* [scene-recognition/golds](https://github.com/clamsproject/aapb-annotations/tree/9cbe41aa124da73a0158bfc0b4dbf8bafe6d460d/scene-recognition/golds).
+* [[email protected]@240117-aapb-collaboration-27-d](https://github.com/clamsproject/aapb-evaluations/tree/4bfcf3250700567aae352a710d5cdb6bc1fcdca4/sr-eval/preds%40app-swt-detection5.0%40240117-aapb-collaboration-27-d).
+* [sr-eval/evaluation.py](https://github.com/clamsproject/aapb-evaluations/blob/4bfcf3250700567aae352a710d5cdb6bc1fcdca4/sr-eval/evaluate.py).
 * `python evaluate.py -m /path/to/repo/aapb-evaluations/sr-eval/[email protected]@240117-aapb-collaboration-27-d`
 
 ## Metrics
@@ -50,4 +50,4 @@ overall micro-averaged set of scores (from the `all` row) is as follows:
 ## Limitations/Issues
 * This script seems to be somewhat inefficient in terms of runtime. This may be due to not utilizing various evaluation
 libraries (like numpy), and it might be worthwhile in the future to refactor the script such that those libraries are
-used.
+used.