metadata
dataset_info:
features:
- name: cpc_ids
dtype: string
- name: id
dtype: string
- name: date
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 3264482506
num_examples: 3198360
download_size: 1341114093
dataset_size: 3264482506
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
This dataset was generated using Google's BigQuery API. The query is adapted from Appendix A from the work by Lee and Hsiang. The query is changed to include patents from 2000 - 2015. The specific query is shown below.
SELECT STRING_AGG(distinct t2.group_id ORDER BY t2.group_id) AS cpc_ids,
t1.id, t1.date, t3.text
FROM `patents-public-data.patentsview.patent` t1,
`patents-public-data.patentsview.cpc_current` t2,
`patents-public-data.patentsview.claim` t3
WHERE t1.id = t2.patent_id
AND t1.id = t3.patent_id
AND timestamp(t1.date) >= timestamp('2000-01-01')
AND timestamp(t1.date) <= timestamp('2015-12-31')
AND t3.sequence = '1'
AND t1.type = 'utility'
GROUP BY t1.id, t1.date, t3.text