README.md

---
license: mit
dataset_info:
  features:
  - name: 'Unnamed: 0'
    dtype: int64
  - name: claim_input
    dtype: string
  - name: claim_idx
    dtype: int64
  - name: applicationNumber
    dtype: int64
  - name: applicationTypeCategory
    dtype: string
  - name: relatedDocumentData
    dtype: float64
  - name: patentClassification
    dtype: string
  - name: applicantCitedExaminerReferenceIndicatorCount
    dtype: float64
  - name: filingDate
    dtype: string
  - name: publicationDate
    dtype: string
  - name: claimNumberArrayDocument
    dtype: float64
  - name: abstract
    dtype: string
  - name: percentile
    dtype: float64
  - name: claim_label_101
    dtype: int64
  - name: claim_label_102
    dtype: int64
  - name: claim_label_103
    dtype: int64
  - name: claim_label_112
    dtype: int64
  - name: relatedApplicationNumber
    dtype: string
  - name: max_score_x
    dtype: float64
  - name: mean_score
    dtype: float64
  - name: max_citations
    dtype: float64
  - name: max_other_citations
    dtype: float64
  - name: max_article_citations
    dtype: float64
  - name: max_score_y
    dtype: float64
  - name: component
    dtype: int64
  - name: is_closed
    dtype: int64
  - name: is_open
    dtype: int64
  - name: is_half
    dtype: int64
  - name: similarity_product
    dtype: float64
  - name: transitional_phrase
    dtype: string
  - name: app_claim_id
    dtype: string
  - name: bert_scores_102
    dtype: float64
  - name: claim_label_combined
    dtype: int64
  - name: bert_scores_101
    dtype: float64
  - name: combined_pred_scores
    dtype: float64
  - name: claim_label_101_adjusted
    dtype: int64
  - name: bert_score_102_app_feats_no_hinge
    dtype: float64
  - name: bert_score_101_app_feats
    dtype: float64
  - name: bert_score_102_app_feats_w_hinge
    dtype: float64
  - name: bert_score_102_no_app_feats
    dtype: float64
  - name: dataset
    dtype: string
  - name: lexical_diversity
    dtype: float64
  - name: patent_class
    dtype: float64
  - name: foreignPriority
    dtype: bool
  splits:
  - name: train
    num_bytes: 2152439051
    num_examples: 1485693
  - name: validation
    num_bytes: 402312853
    num_examples: 278215
  - name: test
    num_bytes: 267789008
    num_examples: 185477
  download_size: 501745093
  dataset_size: 2822540912
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
---

# PatentAP

<!-- Provide a quick summary of the dataset. -->

A dataset for the task of Patent Approval Prediction, which is proposed in the paper "Beyond Scaling: Predicting Patent Approval with Domain-specific
Fine-grained Claim Dependency Graph".

## Dataset Details
More details will be added soon!