Create README.md

README.md

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+---
+license: pddl
+language:
+- en
+pretty_name: LILA BC Camera Trap Data
+tags:
+- biology
+- image
+- animals
+- CV
+- camera traps
+size_categories:
+- 1M<n<10M
+---
+
+<!--
+
+NOTE: Add more tags (your particular animal, type of model and use-case, etc.).
+
+As with your GitHub Project repo, it is important to choose an appropriate license for your dataset. The default license is pddl (public domain dedication or CC0, see [Dryad's explanation of why to use CC0](https://blog.datadryad.org/2023/05/30/good-data-practices-removing-barriers-to-data-reuse-with-cc0-licensing/)). Alongside the appropriate stakeholders (eg., your PI, co-authors), select a license that is [Open Source Initiative](https://opensource.org/licenses) (OSI) compliant.
+For more information on how to choose a license and why it matters, see [Choose A License](https://choosealicense.com) and [A Quick Guide to Software Licensing for the Scientist-Programmer](https://doi.org/10.1371/journal.pcbi.1002598) by A. Morin, et al.
+See the [Imageomics policy for licensing](https://docs.google.com/document/d/1SlITG-r7kdJB6C8f4FCJ9Z7o7ccwldZoSRJKjhRAWVA/edit#heading=h.c1sxg0wsiqru) for more information.
+
+See more options for the above information by clicking "edit dataset card" on your repo.
+
+Fill in as much information as you can at each location that says "More information needed".
+-->
+
+<!--
+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>.|
+-->
+
+<!--
+Notes on styling:
+
+To render LaTex in your README, wrap the code in `\\(` and `\\)`. Example: \\(\frac{1}{2}\\)
+
+Escape underscores ("_") with a "\". Example: image\_RGB
+-->
+
+# Dataset Card for LILA BC Camera Trap Data
+
+<!-- Provide a quick summary of what the data is or can be used for. --> 
+
+## Dataset Description
+
+<!-- Provide the basic links for the dataset. -->
+
+- **Homepage:** 
+- **Repository:** [related project repo]
+- **Paper:** 
+- **Leaderboard:** 
+- **Point of Contact:** 
+
+### Dataset Summary
+
+<!-- Provide a longer summary of what this data is. -->
+
+<!--This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).-->
+
+This dataset contains the LILA BC full camera trap information with notebook exploring available data. Images have been deduplicated and reduced down to species designation, with the main CSV filtered to just those with species labels and only one animal per image. This was done by pulling the first instance of an animal so that there are not repeat images of the same animal from essentially the same time.
+
+The deduplicated collection ([lila_image_urls_and_labels_species.csv](https://huggingface.co/datasets/imageomics/lila-bc-camera/blob/main/data/lila_image_urls_and_labels_species.csv)) has 6,365,985 images (compared to the full dataset of 16,833,848 at time of download).
+
+
+See the [LILA BC HF Dataset](https://huggingface.co/datasets/society-ethics/lila_camera_traps) for more inforamtion and updated data.
+
+
+This was potentially to use for testingi BioCLIP, but data had been processed elsewhere.
+
+
+### Supported Tasks and Leaderboards
+[More Information Needed]
+
+### Languages
+[More Information Needed]
+
+## Dataset Structure
+
+<!-- Provide format of the dataset, ex:
+
+```
+/dataset/
+    Folder_1/
+        File_1
+        File_2
+        ...
+        File_n
+    Folder_2/
+        File_1
+        File_2
+        ...
+        File_n
+    ...
+    Folder_N/
+        File_1
+        File_2
+        ...
+        File_n
+    metadata.csv
+```
+
+-->
+
+### Data Instances
+[More Information Needed]
+
+<!--
+Describe data files
+-->
+
+### Data Fields
+[More Information Needed]
+<!--
+Describe the types of the data files or the columns in a CSV with metadata.
+-->
+
+### Data Splits
+[More Information Needed]
+<!--
+Give your train-test splits for benchmarking
+-->
+
+## Dataset Creation
+
+### Curation Rationale
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+[More Information Needed]
+
+#### Who are the source language producers?
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+[More Information Needed]
+
+#### Who are the annotators?
+[More Information Needed]
+
+### Personal and Sensitive Information
+[More Information Needed]
+
+<!-- For instance, if your data includes people or endangered species. -->
+
+## Considerations for Using the Data
+### Social Impact of Dataset
+[More Information Needed]
+
+### Discussion of Biases
+[More Information Needed]
+
+### Other Known Limitations
+[More Information Needed]
+
+<!-- For instance, if your data exhibits a long-tailed distribution (and why). -->
+
+## Additional Information
+
+### Dataset Curators
+[More Information Needed]
+
+### Licensing Information
+[More Information Needed]
+
+### Citation Information
+[More Information Needed]
+<!--
+If you want to include BibTex, replace "<>"s with your info 
+-for an associated paper:
+```
+@article{<ref_code>,
+  title    = {<title>},
+  author   = {<author1 and author2>},
+  journal  = {<journal_name>},
+  year     =  <year>,
+  url      = {<DOI_URL>},
+  doi      = {<DOI>}
+}
+```
+-just for 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}
+}
+```
+-->
+
+<!---
+If the data is modified from another source, add the following. 
+
+Please be sure to also cite the original data source:
+<citation>
+-->
+
+
+### Contributions
+
+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.
+
+<!-- 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. -->