Datasets:

Hitchwiki
/

dumpster-diving-spots

dataset_info:
  features:
    - name: Latitude
      dtype: float64
    - name: Longitude
      dtype: float64
    - name: dumpster_created
      dtype: string
    - name: voting
      dtype: string
    - name: comment
      dtype: string
    - name: voting_created
      dtype: string
    - name: name
      dtype: string
    - name: __index_level_0__
      dtype: int64
  splits:
    - name: 2025.07.01
      num_bytes: 2216673
      num_examples: 9419
  download_size: 1180508
  dataset_size: 2216673
configs:
  - config_name: default
    data_files:
      - split: 2025.07.01
        path: data/2025.07.01-*
language:
  - en
  - de
tags:
  - geospatial
  - food
  - supermarkets
  - free
license: odbl

Dataset Card for "Dataset of Dumpster Diving Spots"

Community-collected dumpster diving spots and their ratings from https://www.dumpstermap.org (or better https://dumpstermap.herokuapp.com/dumpsters).

Updated monthly using https://github.com/Hitchwiki/dumpster-archiver.

Dataset Details

Dataset Description

Curated by: Moritz Duchêne
Shared by: @tillwenke
Language(s) (NLP): English, German
License: Open Datebase License (odbl)

Dataset Sources

Repository: https://github.com/Debakel/Dumpstermap
Demo: https://www.dumpstermap.org/

Uses

gift and sharing econonmy research
policy research

Dataset Creation

Curation Rationale

The data points collected on https://www.dumpstermap.org/ were only accessible via the web site interface, this dataset should serve as a starting point to run analytics on the data that is collected there.

Storing the data on huggingface will also serve as a layer of redundancy in case https://www.dumpstermap.org/ vanishes.

Source Data

spots (Latitude & Longitude) from https://www.dumpstermap.org/ e.g. waste bins of supermarkets
there can be multiple reviews (voting & comment) of each spot over time

Data Collection and Processing

data was collected on https://www.dumpstermap.org/ which is run by Moritz Duchêne
each single spot or review is added without review or verification

Who are the source data producers?

indiviual entries are crowd-sourced

Personal and Sensitive Information

identities of the crowd-sourcers are not recorded thus the name is Anonymous to avoid linking entries to any individual
this information is sensitive because the practice of dumpster diving might not be legal in all regions where data is collected

Bias, Risks, and Limitations

spots are biased towards Europe
entries can be outdated or wrong due to the lack of verification

Citation

BibTeX:

@misc{dumpster,
author = {Till Wenke},
title = {Dataset of Dumpster Diving Spots},
year = {2025},
url = {https://huggingface.co/datasets/Hitchwiki/dumpster-diving-spots},
}

Dataset Card Contact

@tillwenke