metadata

dataset_info:
  features:
    - name: abstract
      dtype: string
    - name: label
      dtype: int64
  splits:
    - name: train
      num_bytes: 8088461
      num_examples: 11196
  download_size: 4025753
  dataset_size: 8088461
language:
  - en
size_categories:
  - 10K<n<100K

Dataset Card for "Patents_Green_Plastics"

number of rows: 11.196
features: [title, label]
label: 0, 1

The dataset contains patent abstracts that are labeled as 1 (="Green Plastics") and 0 (="Not Green Plastics").

Dataset Creation

The BIGPATENT dataset is the source for this dataset.

In a first step, abstracts of BIGPATENT were filtered by the terms "plastics" and "polymer". The resulting "Plastics" dataset contained 64.372 samples.

In a second step, the 64.372 samples were filtered by terms which define "green plastics".

"Green Plastics" are defined by the list of terms: "degrada", "recycl", "bio", "compost", "bact", "waste recovery", "zero waste", "sustainab", "Bio-Based", "Bio-Degradable", "Renewable", "Green Plastics", "Renewable", "Degradable", "Compostable", "Bio-resorbable", "Bio-soluble", "Cellulose", "Biodegradable","Mycelium", "Recyclability", "Degradability", "Bio-Polymer", "reuse", "reusable", "reusing", "Degradation", "Multiple Use", "Bioplastic", "Polyhydroxyalkanoates", "PHA", "Polylactide", "PLA", "Polyglycolide", "PGA" (some terms might repeat)

The group of "Green Plastics" containing 5.598 rows was labeled as 1.

An equal amount of samples (=5.598 rows) was randomly chosen from the "Plastics" dataset, defined as "Not Green Plastics" and labeled as 0.

Both groups ("Green Plastics" and "Not Green Plastics") were merged together.