--- configs: - config_name: pool_a data_files: - split: pool_a path: pool_a/pool_a.parquet - config_name: academic_public data_files: - split: test path: academic_public/test.parquet - split: train path: academic_public/train.parquet - config_name: assignee_patent_match data_files: - split: corpus path: assignee_patent_match/corpus.parquet - split: qrels path: assignee_patent_match/qrels.parquet - split: queries path: assignee_patent_match/queries.parquet - config_name: assignee_type data_files: - split: test path: assignee_type/test.parquet - split: train path: assignee_type/train.parquet - config_name: cpc_section data_files: - split: test path: cpc_section/test.parquet - split: train path: cpc_section/train.parquet - config_name: cpc_subclass data_files: - split: test path: cpc_subclass/test.parquet - split: train path: cpc_subclass/train.parquet - config_name: forward_citation data_files: - split: test path: forward_citation/test.parquet - split: train path: forward_citation/train.parquet - config_name: grant_abandon data_files: - split: test path: grant_abandon/test.parquet - split: train path: grant_abandon/train.parquet - config_name: grant_year data_files: - split: test path: grant_year/test.parquet - split: train path: grant_year/train.parquet - config_name: kogan_value data_files: - split: test path: kogan_value/test.parquet - split: train path: kogan_value/train.parquet - config_name: paper_patent_retrieval data_files: - split: corpus path: paper_patent_retrieval/corpus.parquet - split: qrels path: paper_patent_retrieval/qrels.parquet - split: queries path: paper_patent_retrieval/queries.parquet - config_name: paper_patent_retrieval_hard data_files: - split: corpus path: paper_patent_retrieval_hard/corpus.parquet - split: qrels path: paper_patent_retrieval_hard/qrels.parquet - split: queries path: paper_patent_retrieval_hard/queries.parquet - config_name: papers_cocite data_files: - split: corpus path: papers_cocite/corpus.parquet - split: qrels path: papers_cocite/qrels.parquet - split: queries path: papers_cocite/queries.parquet - config_name: papers_cocite_hard data_files: - split: corpus path: papers_cocite_hard/corpus.parquet - split: qrels path: papers_cocite_hard/qrels.parquet - split: queries path: papers_cocite_hard/queries.parquet - config_name: patent_cite data_files: - split: corpus path: patent_cite/corpus.parquet - split: qrels path: patent_cite/qrels.parquet - split: queries path: patent_cite/queries.parquet - config_name: patent_cocite data_files: - split: corpus path: patent_cocite/corpus.parquet - split: qrels path: patent_cocite/qrels.parquet - split: queries path: patent_cocite/queries.parquet - config_name: patent_paper_citation data_files: - split: corpus path: patent_paper_citation/corpus.parquet - split: qrels path: patent_paper_citation/qrels.parquet - split: queries path: patent_paper_citation/queries.parquet - config_name: patent_paper_citation_hard data_files: - split: corpus path: patent_paper_citation_hard/corpus.parquet - split: qrels path: patent_paper_citation_hard/qrels.parquet - split: queries path: patent_paper_citation_hard/queries.parquet - config_name: ppp_paper data_files: - split: test path: ppp_paper/test.parquet - split: train path: ppp_paper/train.parquet - config_name: ppp_paper_patent data_files: - split: corpus path: ppp_paper_patent/corpus.parquet - split: qrels path: ppp_paper_patent/qrels.parquet - split: queries path: ppp_paper_patent/queries.parquet - config_name: ppp_paper_patent_hard data_files: - split: corpus path: ppp_paper_patent_hard/corpus.parquet - split: qrels path: ppp_paper_patent_hard/qrels.parquet - split: queries path: ppp_paper_patent_hard/queries.parquet - config_name: ppp_patent data_files: - split: test path: ppp_patent/test.parquet - split: train path: ppp_patent/train.parquet - config_name: pqr_paper data_files: - split: test path: pqr_paper/test.parquet - split: train path: pqr_paper/train.parquet - config_name: pqr_paper_patent data_files: - split: corpus path: pqr_paper_patent/corpus.parquet - split: qrels path: pqr_paper_patent/qrels.parquet - split: queries path: pqr_paper_patent/queries.parquet - config_name: pqr_patent data_files: - split: test path: pqr_patent/test.parquet - split: train path: pqr_patent/train.parquet - config_name: pqr_patent_paper data_files: - split: corpus path: pqr_patent_paper/corpus.parquet - split: qrels path: pqr_patent_paper/qrels.parquet - split: queries path: pqr_patent_paper/queries.parquet - config_name: renewal data_files: - split: test path: renewal/test.parquet - split: train path: renewal/train.parquet - config_name: same_initial_assignee data_files: - split: corpus path: same_initial_assignee/corpus.parquet - split: qrels path: same_initial_assignee/qrels.parquet - split: queries path: same_initial_assignee/queries.parquet - config_name: same_initial_assignee_hard data_files: - split: corpus path: same_initial_assignee_hard/corpus.parquet - split: qrels path: same_initial_assignee_hard/qrels.parquet - split: queries path: same_initial_assignee_hard/queries.parquet - config_name: same_inventor data_files: - split: corpus path: same_inventor/corpus.parquet - split: qrels path: same_inventor/qrels.parquet - split: queries path: same_inventor/queries.parquet - config_name: science_uptake data_files: - split: test path: science_uptake/test.parquet - split: train path: science_uptake/train.parquet - config_name: us_foreign data_files: - split: test path: us_foreign/test.parquet - split: train path: us_foreign/train.parquet - config_name: vc_backed data_files: - split: test path: vc_backed/test.parquet - split: train path: vc_backed/train.parquet license: cc-by-4.0 tags: - patents - embedding - benchmark --- # PaTRepEval — version v0.4 A SciRepEval-equivalent evaluation suite for patent-trained embedding models. Built on USPTO Open Data Portal granted-patent and pre-grant publication tables, plus external sources (Kogan KPSS, Marx & Fuegi Reliance on Science) for the Pool B / Phase 5 tasks. ## Configs | Config | Family | Task type | Metric | Notes | |---|---|---|---|---| | `pool_a` | corpus | — | — | ~1.05M utility patents, year × CPC stratified. | | `academic_public` | clf | single_label_classification | f1_binary | 2 classes | | `assignee_patent_match` | prx | retrieval | p@5, p@10, map | queries aggregated by `mean_by_query_id` | | `assignee_type` | clf | single_label_classification | f1_macro | 3 classes | | `cpc_section` | clf | single_label_classification | f1_macro | 8 classes | | `cpc_subclass` | clf | multi_label_classification | f1_macro | 50 classes | | `forward_citation` | rgn | regression | kendall_tau | 5y window | | `grant_abandon` | clf | single_label_classification | f1_binary | 2 classes | | `grant_year` | rgn | regression | kendall_tau | — | | `kogan_value` | rgn | regression | kendall_tau | — | | `paper_patent_retrieval` | prx | retrieval | map, ndcg@10 | — | | `paper_patent_retrieval_hard` | prx | retrieval | map, ndcg@10 | — | | `papers_cocite` | prx | retrieval | map, ndcg@10 | — | | `papers_cocite_hard` | prx | retrieval | map, ndcg@10 | — | | `patent_cite` | prx | retrieval | map, ndcg@10 | — | | `patent_cocite` | prx | retrieval | map, ndcg@10 | — | | `patent_paper_citation` | prx | retrieval | map, ndcg@10 | — | | `patent_paper_citation_hard` | prx | retrieval | map, ndcg@10 | — | | `ppp_paper` | clf | single_label_classification | f1_binary | 2 classes | | `ppp_paper_patent` | prx | retrieval | map, ndcg@10 | — | | `ppp_paper_patent_hard` | prx | retrieval | map, ndcg@10 | — | | `ppp_patent` | clf | single_label_classification | f1_binary | 2 classes | | `pqr_paper` | clf | single_label_classification | f1_binary | 2 classes | | `pqr_paper_patent` | prx | retrieval | map, ndcg@10 | — | | `pqr_patent` | clf | single_label_classification | f1_binary | 2 classes | | `pqr_patent_paper` | prx | retrieval | map, ndcg@10 | — | | `renewal` | clf | single_label_classification | f1_binary | 2 classes | | `same_initial_assignee` | prx | retrieval | map, ndcg@10 | — | | `same_initial_assignee_hard` | prx | retrieval | map, ndcg@10 | — | | `same_inventor` | prx | retrieval | map, ndcg@10 | — | | `science_uptake` | rgn | regression | kendall_tau | — | | `us_foreign` | clf | single_label_classification | f1_binary | 2 classes | | `vc_backed` | clf | single_label_classification | f1_binary | 2 classes | ## Usage ```python from datasets import load_dataset # CLF / RGN: train + test parquets ds = load_dataset('gebhart/patrepeval', name='cpc_section') ds['train'][0] # patent_id, title, abstract, label, year_filed, year_granted # PRX: corpus + queries + qrels parquets corpus = load_dataset('gebhart/patrepeval', name='same_inventor', split='corpus') queries = load_dataset('gebhart/patrepeval', name='same_inventor', split='queries') qrels = load_dataset('gebhart/patrepeval', name='same_inventor', split='qrels') # Pool A base corpus (read once, share across CLF/RGN at eval time) pool_a = load_dataset('gebhart/patrepeval', name='pool_a', split='pool_a') ``` ## Versioning This release is **v0.4**. Use the matching git tag (`git checkout ` after a `git clone`) when reproducing a paper, since later versions add task configs and may refine splits.