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Update README.md

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@@ -39,7 +39,7 @@ tags:
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  license: odbl
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  ---
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- # Dataset Card for {{ pretty_name | default("Dataset Name", true) }}
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  <!-- Provide a quick summary of the dataset. -->
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@@ -75,13 +75,9 @@ Updated monthly using https://github.com/Hitchwiki/dumpster-archiver.
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  <!-- Address questions around how the dataset is intended to be used. -->
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- -
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-
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- ## Dataset Structure
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-
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- <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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- {{ dataset_structure | default("[More Information Needed]", true)}}
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  ## Dataset Creation
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@@ -98,35 +94,35 @@ Storing the data on huggingface will also serve as a layer of redundancy in case
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  <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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  #### Data Collection and Processing
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  <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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- {{ data_collection_and_processing_section | default("[More Information Needed]", true)}}
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  #### Who are the source data producers?
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  <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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- {{ source_data_producers_section | default("[More Information Needed]", true)}}
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  #### Personal and Sensitive Information
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  <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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- {{ personal_and_sensitive_information | default("[More Information Needed]", true)}}
 
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  ## Bias, Risks, and Limitations
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  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- {{ bias_risks_limitations | default("[More Information Needed]", true)}}
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-
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- ### Recommendations
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-
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- {{ bias_recommendations | default("Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.", true)}}
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  ## Citation
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@@ -144,4 +140,4 @@ url = {https://huggingface.co/datasets/Hitchwiki/dumpster-diving-spots},
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  ## Dataset Card Contact
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- - Till Wenke
 
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  license: odbl
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  ---
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+ # Dataset Card for "Dataset of Dumpster Diving Spots"
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  <!-- Provide a quick summary of the dataset. -->
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  <!-- Address questions around how the dataset is intended to be used. -->
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+ - gift and sharing econonmy research
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+ - policy research
 
 
 
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  ## Dataset Creation
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  <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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+ - spots (`Latitude` & `Longitude`) from https://www.dumpstermap.org/ e.g. waste bins of supermarkets
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+ - there can be multiple reviews (`voting` & `comment`) of each spot over time
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+ -
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  #### Data Collection and Processing
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  <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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+ - data was collected on https://www.dumpstermap.org/ which is run by Moritz Duchêne
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+ - each single spot or review is added without review or verification
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+ -
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  #### Who are the source data producers?
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  <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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+ - indiviual entries are crowd-sourced
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  #### Personal and Sensitive Information
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  <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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+ - identities of the crowd-sourcers are not recorded thus the `name` is `Anonymous` to avoid linking entries to any individual
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+ - this information is sensitive because the practice of dumpster diving might not be legal in all regions where data is collected
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  ## Bias, Risks, and Limitations
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  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+ - spots are biased towards Europe
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+ - entries can be outdated or wrong due to the lack of verification
 
 
 
 
 
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  ## Citation
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  ## Dataset Card Contact
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+ - @tillwenke