Update README formatting with most recent template

README.md

@@ -7,6 +7,10 @@ tags:
 - traits
 - processed
 - RGB
+- biology
+- image
+- animals
+- CV
 pretty_name: Fish-Vista
 size_categories:
 - 10K<n<100K
@@ -36,23 +40,44 @@ configs:
   - split: all
     path: segmentation_data.csv
 ---
-# Dataset Card for Fish-Vista
 
-## Dataset Description
+<!--
+Image with caption:
+|![Figure #](https://huggingface.co/imageomics/<data-repo>/resolve/main/<filename>)|
+|:--|
+|**Figure #.** [Image of <>](https://huggingface.co/imageomics/<data-repo>/raw/main/<filename>) <caption description>.|
+-->
+
+# Dataset Card for Fish-Visual Trait Analysis (Fish-Vista)
+
+## Dataset Deetails
 
+### Dataset Description
+
+<!--
+- **Curated by:** list curators (authors for _data_ citation, moved up)
+- **Language(s) (NLP):** [More Information Needed]
+<!-- Provide the basic links for the dataset. These will show up on the sidebar to the right of your dataset card ("Curated by" too). -->
 <!--
 - **Homepage:** 
-- **Repository:** 
+- **Repository:** [related project repo]
 - **Paper:** 
-- **Leaderboard:** 
-- **Point of Contact:** 
 -->
 
-### Dataset Summary
+<!-- Provide a longer summary of what this dataset is. -->
+
+The Fish-Visual Trait Analysis (Fish-Vista) dataset is a large, annotated collection of 60K fish images spanning 1900 different species; it supports several challenging and biologically relevant tasks including species classification, trait identification, and trait segmentation. These images have been curated through a sophisticated data processing pipeline applied to a cumulative set of images obtained from various museum collections. Fish-Vista provides fine-grained labels of various visual traits present in each image. It also offers pixel-level annotations of 9 different traits for 2427 fish images, facilitating additional trait segmentation and localization tasks.
 
-The Fish-Visual Trait Analysis (Fish-Vista) dataset—a large, annotated collection of 60K fish images spanning 1900 different species,  supporting several challenging and biologically relevant tasks including species classification, trait identification, and trait segmentation. These images have been curated through a sophisticated data processing pipeline applied to a cumulative set of images obtained from various museum collections. Fish-Vista provides fine-grained labels of various visual traits present in each image. It also offers pixel-level annotations of 9 different traits for 2427 fish images, facilitating additional trait segmentation and localization tasks.
+The Fish Vista dataset consists of museum fish images from [Great Lakes Invasives Network (GLIN)](https://greatlakesinvasives.org/portal/index.php), [iDigBio](https://www.idigbio.org/), and [Morphbank](https://www.morphbank.net/) databases. We acquired these images, along with associated metadata including the scientific species names, the taxonomical family the species belong to, and licensing information, from the [Fish-AIR repository](https://fishair.org/). 
 
-The Fish Vista dataset consists of museum fish images from (GLIN), IDigBio, Morphbank databases. We acquired these images, along with associated metadata including the scientific species names, the taxonomical family the species belong to, and licensing information, from the FishAIR repository. 
+
+<!--This dataset card has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1), and further altered to suit Imageomics Institute needs.-->
+
+
+### Supported Tasks and Leaderboards
+[More Information Needed]
+
+<!-- Provide benchmarking results -->
 
 
 <!---
@@ -69,6 +94,9 @@ English
 
 ## Dataset Structure
 
+<!-- Add information about each of these (task, number of images per split, etc.). Perhaps reformat as <task>_<split>.csv.
+-->
+
 * **classification_train.csv:** Information for the approximately x image files.
 
 * **classification_test.csv:** Information for the approximately x image files.
@@ -121,20 +149,48 @@ CSV Columns are as follows:
 
 **Note:**
 
-<!--
+
 ### Data Splits
 
-[More Information Needed]
--->
+For each task (or subset), the split is indicated by the CSV name (e.g., `classification_<split>.csv`).
       
 ## Dataset Creation
 
 ### Curation Rationale
+[More Information Needed]
+<!-- Motivation for the creation of this dataset. For instance, what you intended to study and why that required curation of a new dataset (or if it's newly collected data and why the data was collected (intended use)), etc. -->
 
 ### Source Data
 
+<!-- This section describes the source data (e.g., news text and headlines, social media posts, translated sentences, ...). As well as an original source it was created from (e.g., sampling from Zenodo records, compiling images from different aggregators, etc.) -->
+
+#### Data Collection and Processing
+[More Information Needed]
+<!-- 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.
+-->
+
+#### Who are the source data producers?
+[More Information Needed]
+<!-- This section describes the people or systems who originally created the data.
+
+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.
+ -->
+
 
-#### Initial Data Collection and Annotation
+### Annotations
+<!-- 
+If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. 
+
+Ex: We standardized the taxonomic labels provided by the various data sources to conform to a uniform 7-rank Linnean structure. (Then, under annotation process, describe how this was done: Our sources used different names for the same kingdom (both _Animalia_ and _Metazoa_), so we chose one for all (_Animalia_). -->
+
+#### Annotation process
+[More Information Needed]
+<!-- This section describes the annotation process such as annotation tools used, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
+
+#### Who are the annotators?
+[More Information Needed]
+<!-- This section describes the people or systems who created the annotations. -->
 
 
 ### Personal and Sensitive Information
@@ -151,21 +207,87 @@ None
 
 
 
-## Additional Information
+### Recommendations
+[More Information Needed]
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+## Licensing Information
+[More Information Needed]
+
+<!-- See notes at top of file about selecting a license. 
+If you choose CC0: This dataset is dedicated to the public domain for the benefit of scientific pursuits. We ask that you cite the dataset and journal paper using the below citations if you make use of it in your research.
+
+Be sure to note different licensing of images if they have a different license from the compilation.
+ex: 
+The data (images and text) contain a variety of licensing restrictions mostly within the CC family. Each image and text in this dataset is provided under the least restrictive terms allowed by its licensing requirements as provided to us (i.e, we impose no additional restrictions past those specified by licenses in the license file).
+
+EOL images contain a variety of licenses ranging from [CC0](https://creativecommons.org/publicdomain/zero/1.0/) to [CC BY-NC-SA](https://creativecommons.org/licenses/by-nc-sa/4.0/).
+For license and citation information by image, see our [license file](https://huggingface.co/datasets/imageomics/treeoflife-10m/blob/main/metadata/licenses.csv).
+
+This dataset (the compilation) has been marked as dedicated to the public domain by applying the [CC0 Public Domain Waiver](https://creativecommons.org/publicdomain/zero/1.0/). However, images may be licensed under different terms (as noted above).
+-->
+
+## Citation
+[More Information Needed]
 
-### Dataset Curators
+**BibTeX:**
+<!--
+If you want to include BibTex, replace "<>"s with your info 
+
+**Data**
+```
+@misc{<ref_code>,
+  author = {<author1 and author2>},
+  title = {<title>},
+  year = {<year>},
+  url = {https://huggingface.co/datasets/imageomics/<dataset_name>},
+  doi = {<doi once generated>},
+  publisher = {Hugging Face}
+}
+```
+
+-for an associated paper:
+**Paper**
+```
+@article{<ref_code>,
+  title    = {<title>},
+  author   = {<author1 and author2>},
+  journal  = {<journal_name>},
+  year     =  <year>,
+  url      = {<DOI_URL>},
+  doi      = {<DOI>}
+}
+```
+-->
 
-**Original Images:**
+<!---
+If the data is modified from another source, add the following. 
+
+Please be sure to also cite the original data source(s):
+<citation>
+-->
 
-**This Collection:**
 
+## Acknowledgements
 
-### Licensing Information
+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. -->
 
-### Citation Information
+## Glossary 
+
+<!-- [optional] If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
+
+## More Information 
+
+<!-- [optional] Any other relevant information that doesn't fit elsewhere. -->
+
+## Dataset Card Authors 
+
+[More Information Needed]
 
+## Dataset Card Contact
 
-### Contributions
+[More Information Needed--optional]
+<!-- Could include who to contact with questions, but this is also what the "Discussions" tab is for. -->
 
-The [Imageomics Institute](https://imageomics.org) 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.