File size: 1,021 Bytes
758aedd ae8354d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 |
---
license: mit
---
# PoC (Patents with One Citation) dataset
This dataset is useful for training or evaluating models that predict patent-to-patent similarity, such as those used for patent searching.
It was developed and used for the training of an ML model that powers the [PQAI](https://search.projectpq.ai/) search engine.
## Details
The dataset contains 90,013 samples.
Each sample contains:
- a subject patent (`sp`)
- its only citation (`cit`)
- its CPC code (`cpc`)
- a list of 10 patents (`sims`) that are similar to `sp` (in that they share the CPC code) and published before `sp`
Every line of the dataset is a JSON parsable string (`.jsonl` format), which upon parsing given an array of this format:
```
[pn, cit, cpc, [...sims]]
```
## Task
Given the subject patent `sp` the task is to assign a similarity score to each patent `[cit, ...sims]`. Ideally, the score should be maximum for `cit`.
## Metrics
It's a ranking task, so the following metrics make the most sense:
- DCG/NDCG
- Accuracy |