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  # Doc / guide: https://huggingface.co/docs/hub/datasets-cards
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  {}
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  ---
 
 
 
 
 
 
 
 
 
 
 
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- # Dataset Card for Dataset Name
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  <!-- Provide a quick summary of the dataset. -->
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- 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).
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  ## Dataset Details
 
 
 
 
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- ### Dataset Description
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- <!-- Provide a longer summary of what this dataset is. -->
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  - **Curated by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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  - **License:** [More Information Needed]
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  ### Dataset Sources [optional]
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  <!-- Provide the basic links for the dataset. -->
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  - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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  ## Uses
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  [More Information Needed]
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- ### Annotations [optional]
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- <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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- #### Annotation process
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- <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
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- [More Information Needed]
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- #### Who are the annotators?
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- <!-- This section describes the people or systems who created the annotations. -->
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  <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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- ## Citation [optional]
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- <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
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- [More Information Needed]
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- **APA:**
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- ## Glossary [optional]
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- <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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- [More Information Needed]
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- ## More Information [optional]
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- ## Dataset Card Authors [optional]
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- ## Dataset Card Contact
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- [More Information Needed]
 
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  # Doc / guide: https://huggingface.co/docs/hub/datasets-cards
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  {}
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  ---
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+ ---
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+ task_categories:
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+ - image-classification
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+ language:
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+ - en
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+ tags:
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+ - biology
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+ - environment
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+ # Dataset Card for inaturalist
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  <!-- Provide a quick summary of the dataset. -->
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+ This dataset is comprised of 9549 observations that were posted on the iNaturalist app. iNaturalist is a website and app that 'aims to provide a crowd sourced identification system' for plants, insects, and animals.
 
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  ## Dataset Details
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+ For each of the 9549 observations included in this dataset, there is information about the quality ('quality_grade') of the observation and associated photo(s),
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+ a species name ('species_guess') along with a common name ('common_name'), taxonomic information ('taxon'),
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+ the number of times that kind of species appears in all of iNaturalist's data ('total_obs'), when the observation was made ('time_of_observation'),
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+ where the observation was made ('location'), and a link to the associated wikipedia page for the corresponding species ('wikipedia').
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+ Each observation also includes a link to the associated photo and an embedding of the photo, created with the ResNet50 embedding model.
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  - **Curated by:** [More Information Needed]
 
 
 
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  - **License:** [More Information Needed]
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  ### Dataset Sources [optional]
 
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  <!-- Provide the basic links for the dataset. -->
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  - **Repository:** [More Information Needed]
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+ - **API:** Data originally accessed via the iNaturalist API at https://api.inaturalist.org
 
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  ## Uses
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  <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.