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---
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: assignee
dtype: string
- name: inventor/author
dtype: string
- name: priority date
dtype: timestamp[ns]
- name: grant date
dtype: timestamp[ns]
- name: result link
dtype: string
- name: representative figure link
dtype: string
- name: abstract
dtype: string
- name: description
dtype: string
- name: ita_only
dtype: int64
splits:
- name: train
num_bytes: 8798146201
num_examples: 105195
download_size: 3443662872
dataset_size: 8798146201
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# AI Patents Dataset
This dataset contains data about 105k patents obtained filtering by the following keywords from [Google Patents](https://patents.google.com/):
* `artificial intelligence`
* `neural network`
* `LLM`
* `large language model`
* `machine learning`
* `deep learning`
* `natural language processing`
Data filtered from European countries and United States patents from January 2000 to October 2024 (grant date).
### Italian-only data
Google Patents does not have _granted_ Italian patents for the selected keywords. Therefore, we included _non-granted_ patent applications in Italian, 1.6k in total. These are identified by `ita_only==1`.
We added the following keywords to the query:
* `intelligenza artificiale`
* `rete neurale`
* `reti neurali`
* `apprendimento automatico`