Add some more detail and cautions (#4)

- Add some more detail and cautions (bac3fd3a13837f5c962917774668b634f430baeb)
- Add Owen's grant to acknowledgement (cc7008beb0baac785617541c49a26099a2b6e821)
- Add citation file (12f409248f3cef70dc16d63570ecb98b50957fc5)
- Add licensing information (a49d5250e8a06df29029aa988fbea6574523c49b)

CITATION.cff

@@ -0,0 +1,28 @@
+abstract: "Subset of dorsal images of butterfly wings collected by Owen McMillan and members of his lab at the Smithsonian Tropical Research Institute."
+authors:
+- family-names: Lawrence
+  given-names: "Christopher"
+  orcid: "https://orcid.org/0000-0002-3846-5968"
+- family-names: "McMillan"
+  given-names: "Owen"
+  orcid: "https://orcid.org/0000-0003-2805-2745"
+- family-names: "Romero"
+  given-names: "Daniel"
+- family-names: "Arias"
+  given-names: "Carlos"
+  orcid: "https://orcid.org/0000-0002-1546-5156"
+cff-version: 1.2.0
+keywords:
+  - imageomics
+  - butterfly
+  - RGB
+  - separated wings
+  - CV
+  - segmentation
+  - dorsal
+  - ventral
+message: "If you use this dataset, please cite it using the following metadata."
+url: "https://huggingface.co/datasets/imageomics/STRI-Samples"
+title: "Smithsonian Tropical Research Institute (STRI) Samples"
+version: 1.0.0
+type: dataset

README.md

@@ -12,10 +12,11 @@ pretty_name: Smithsonian Tropical Research Institute (STRI) Samples
 size_categories:
 - n<1K
 configs:
-  - config_name: default
-    data_files:
-      - metadata.csv
-      - images/*.JPG
+- config_name: default
+  data_files:
+  - metadata.csv
+  - images/*.JPG
+license: cc-by-4.0
 ---
 
 # Dataset Card for Smithsonian Tropical Research Institute (STRI) Samples
@@ -59,7 +60,6 @@ Note that this is just a subset of a larger dataset that has yet to be curated.
 
 
 ### Data Instances
-[More Information Needed]
 
 <!--
 Describe data files
@@ -70,7 +70,8 @@ Ex: All images are named <img_id>.png, each within a folder named for the specie
 
 [More Information Needed]
 
-* **Type:** JPG <!-- PNG if we include the smaller images
+* **Type:** JPG
+<!-- PNG if we include the smaller images
 * **Size (x pixels by y pixels):** Not yet known (downsized are 256 x 256) -->
 * **Background (color or none):** Sometimes gray sometimes white
 * **Fit in frame:** tight
@@ -79,7 +80,7 @@ Ex: All images are named <img_id>.png, each within a folder named for the specie
 
 Potential for future addition of genetic sequencing data.
 
-There are 11 speices represented in this sample of 207. They are primarily from the genus Heliconius, but the following genera are also represented: Junonia, Eueides, Neruda, and Dryas.
+There are 11 species represented in this sample of 207. They are primarily from the genus Heliconius, but the following genera are also represented: Junonia, Eueides, Neruda, and Dryas.
 
 The CSV also includes labels regarding the quality of the specimen: `damaged`, `dorsal`, or `incomplete`, which were used for the segmentation model. Below is a species distribution chart for this data colored by quality label.
 
@@ -134,11 +135,14 @@ These images were selected and labeled to use in training the [Imageomics/butter
 
 ### Source Data
 
-Images are of specimens collected by the [Smithsonian Tropical Research Institute](https://stri.si.edu/) and photographs of this subset were taken by Daniel Romero.
+Images are of specimens collected by the [Smithsonian Tropical Research Institute](https://stri.si.edu/) and photographs of this subset were taken by Daniel Romero, Carlos Arias, and other members of the Owen McMilan Lab at the Smithsonian Tropical Research Institute Gamboa Station.
 <!-- images taken by Christopher Lawrence have not been added yet, curation ongoing -->
 
 #### Data Collection and Processing
 [More Information Needed]
+
+Photographs of the wings were taken using an Olympus OM-D EM-1 digital camera with an Olympus Zuiko Digital ED 60 mm f/2.8 macro lens.
+
 <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, re-sizing of images, tools and libraries used, etc. 
 This is what _you_ did to it following collection from the original source; it will be overall processing if you collected the data initially.
 -->
@@ -149,9 +153,10 @@ This is what _you_ did to it following collection from the original source; it w
 
 Ex: This dataset is a collection of images taken of the butterfly collection housed at the Ohio State University Museum of Biological Diversity. The associated labels and metadata are the information provided with the collection from biologists that study butterflies and supplied the specimens to the museum.
  -->
-
+The dataset is a collection of images taken of the McMilan Lab's collection of butterfly samples obtained from field collection surveys and several raised in captivity for genetic and other studies.
 
 ### Annotations
+There are several annotations in this data that are not standard and are very specific. Further annotation is needed. In general, taxonomic information down to the species and subspecies name is provided but is not always correct and needs double checking at this moment.
 
 #### Annotation process
 Damage annotations were completed by Michelle Ramirez for training the [Imageomics/butterfly_detection_yolo](https://huggingface.co/imageomics/butterfly_detection_yolo) model she created.
@@ -159,6 +164,7 @@ Damage annotations were completed by Michelle Ramirez for training the [Imageomi
 #### Who are the annotators?
 [More Information Needed]
 <!-- This section describes the people or systems who created the annotations. -->
+Annotation data (other than the damage labels) was provided by the McMilan Lab.
 
 ### Personal and Sensitive Information
 [More Information Needed]
@@ -173,7 +179,7 @@ Things to consider while working with the dataset. For instance, maybe there are
 -->
 
 ### Bias, Risks, and Limitations
-This is a small sample of minimally curated butterfly images intended only for wing segmentation and damage detection.
+This is a small sample of minimally curated butterfly images intended only for wing segmentation and damage detection. It is **not** intended for species classification.
 
 ### Recommendations
 [More Information Needed]
@@ -181,6 +187,8 @@ This is a small sample of minimally curated butterfly images intended only for w
 
 This is not a complete dataset, nor is it curated for greater use. The purpose of this dataset is to provide the 207 image sample used as part of a larger training set for the [Imageomics/butterfly_detection_yolo](https://huggingface.co/imageomics/butterfly_detection_yolo) model. More information on the full project can be found in the [GitHub repository](https://github.com/Imageomics/wing-segmentation).
 
+Recommended use is only for segmentation.
+
 
 ## Additional Information
 
@@ -193,7 +201,7 @@ This is not a complete dataset, nor is it curated for greater use. The purpose o
 
 ### Licensing Information
 
-[More Information Needed]
+[CC BY](https://creativecommons.org/licenses/by/4.0/)
 
 ### Citation Information
 
@@ -201,6 +209,4 @@ Christopher Lawrence, Owen McMillan, Daniel Romero, Carlos Arias. (2024). Smiths
 
 ## Acknowledgements
 
-This work was supported by the [Imageomics Institute](https://imageomics.org), which is funded by the US National Science Foundation's Harnessing the Data Revolution (HDR) program under [Award #2118240](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118240) (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
-
-<!-- You may also want to credit the source of your data, i.e., if you went to a museum or nature preserve to collect it. -->
+This work was supported by US National Science Foundation (NSF) grant [IOS 2110532](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2110532&HistoricalAwards=false), with additional support from the [Imageomics Institute](https://imageomics.org), which is funded by the NSF's Harnessing the Data Revolution (HDR) program under [Award #2118240](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118240) (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.