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---
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](https://huggingface.co/datasets/big_patent) 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. |