fix documented subset name

correct in configs and dataset structure, was simply mis-referenced

README.md

@@ -27,7 +27,7 @@ configs:
   data_files:
   - "group_images/metadata.csv"
   - "group_images/*.jpg"
-- config_name: resized_group_images
+- config_name: group_images_resized
   data_files:
   - "group_images_resized/metadata.csv"
   - "group_images_resized/*.jpg"
@@ -80,7 +80,7 @@ The individual images were segmented out based on scaling the elytra measurement
 This dataset has 4 subsets, which are described in greater detail below in [Data Instances](#data-instances):
 
 1. `group_images`: all 577 orignal full size images.
-2. `resized_group_images`: all 577 resized (approximately 1MB) group images used for annotation in Notes from Nature (1MB was the size limitation imposed by the software); aspect ratio was maintained in the resize.
+2. `group_images_resized`: all 577 resized (approximately 1MB) group images used for annotation in Notes from Nature (1MB was the size limitation imposed by the software); aspect ratio was maintained in the resize.
 3. `individual_specimens`: all 11,654 individuals from the `group_images`, segmented _manually_ to have one image per individual.
 4. `separate segmented splits`: 7,070 individual beetle images segmented from the `group_images` as part of [BeetlePalooza 2024](https://doi.org/10.5281/zenodo.15540300). These images were organized into an 80-20 train-test split and are in the `Separate_segmented_train_test_splits_80_20/` directory.
 
@@ -128,7 +128,7 @@ This dataset has 4 subsets, which are described in greater detail below in [Data
 This dataset has 4 subsets:
 
 1. `group_images`: 577 images of multiple beetles in a reasonably regular pattern (see sample image below). Each of these images contains a centimeter-based scalebar and a barcode representing the sample (collection of beetles in the image). Each row in `BeetleMeasurements.csv` corresponds to a measurement of the elytra (length or width) of an individual beetle.
-2. `resized_group_images`: All 577 `group_images` resized to the dimensions required for Notes from Nature annotation. These resized images align with the individual measurements provided in `BeetleMeasurements.csv`, unlike the images in the `group_images` subset, which require conversion that the pixel locations are converted to match the full size images.
+2. `group_images_resized`: All 577 `group_images` resized to the dimensions required for Notes from Nature annotation. These resized images align with the individual measurements provided in `BeetleMeasurements.csv`, unlike the images in the `group_images` subset, which require conversion that the pixel locations are converted to match the full size images.
 3. `individual_specimens`: 11,654 manually segmented images of all individual specimens photographed in the `group_images` subset. These images are split between two folders (`part_000/` and `part_001/`), and are labeled based on the group image to which they belong (`pictureID`), then the associated specimen when labeling within the tray from left to right, top to bottom (as if reading a book). Metadata for these images can be aligned using the `individual_specimens/metadata.csv`.
 4. `separate segmented splits`: 7,070 individual beetle images segmented from the `group_images`. This subset encompasses 11 different species of beetles. There are 12 folders, but _melanarius melanarius_ is a subspecies designation for _melanarius_, so it should not be considered a species distinction. These images are divided into an 80-20 train-test split, and further separated into subfolders based on their species (as shown below). These images are all contained in the `Separate_segmented_train_test_splits_80_20/` directory, and were generated as part of [BeetlePalooza 2024](https://doi.org/10.5281/zenodo.15540300). See [`Separate_segmented_train_test_splits_80_20/README`](Separate_segmented_train_test_splits_80_20/README.md) for more details. 
     - The code used to produce the images and splits in `Separate_segmented_train_test_splits_80_20/` is provided [here](https://github.com/Imageomics/2018-NEON-beetles-processing/blob/main/notebooks/Beetle_Palooza_image_separation.ipynb).