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Add dataset card (README)
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README.md
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license: mit
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license: mit
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# PoC (Patents with One Citation) dataset
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This dataset is useful for training or evaluating models that predict patent-to-patent similarity, such as those used for patent searching.
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It was developed and used for the training of an ML model that powers the [PQAI](https://search.projectpq.ai/) search engine.
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## Details
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The dataset contains 90,013 samples.
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Each sample contains:
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- a subject patent (`sp`)
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- its only citation (`cit`)
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- its CPC code (`cpc`)
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- a list of 10 patents (`sims`) that are similar to `sp` (in that they share the CPC code) and published before `sp`
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Every line of the dataset is a JSON parsable string (`.jsonl` format), which upon parsing given an array of this format:
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```
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[pn, cit, cpc, [...sims]]
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```
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## Task
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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`.
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## Metrics
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It's a ranking task, so the following metrics make the most sense:
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- DCG/NDCG
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- Accuracy
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