Dataset DAPFAM See the accompanying paper: Ayaou et al., 2025 — “DAPFAM: A Domain‑Aware Patent Retrieval Dataset Aggregated at the Family Level” (arXiv:2506.22141). ## Summary DAPFAM provides 1 247 balanced query patent families and 45 336 target families with forward/backward‑citation relevance labels (≈ 50 K pairs). Each relevant link is explicitly marked in‑domain or out‑of‑domain according to IPC 3‑char overlap, enabling rigorous cross‑domain evaluation. * Full text (title · abstract · claims · description) plus rich metadata for every family. * Multi‑jurisdictional, English‑only text (families may originate in US, JP, EP, CN, …). * Parquet qrel file: qrels_all.parquet. ## Dataset Structure corpus.parquet # 45 336 rows, targets – every original column from the paper queries.parquet # 1 247 rows, queries – same columns + abstract_keywords qrels_all.parquet # (all | in | out) four‑column tables → query_id · relevant_id · relevance_score · domain_rel ## Citation @misc{ayaou2025dapfam, title={DAPFAM: A Domain-Aware Patent Retrieval Dataset Aggregated at the Family Level}, author={Iliass Ayaou and Denis Cavallucci and Hicham Chibane}, year={2025}, eprint={2506.22141}, archivePrefix={arXiv}, primaryClass={cs.CL} } ## Quick Stats * Queries: 1,247 * Corpus (targets): 45,336 * Qrels (all): 49,869 * Qrels (in): 19,736 * Qrels (out): 5,193

It is a large-scale multimodal patent dataset with detailed captions for design patent figures. 💥 Our dataset includes half a million design patents comprising 3.61 million figures along with captions from patents granted by the United States Patent and Trademark Office USPTO over a 16-year period from 2007 to 2022. * Multimodality: We introduce a multimodal patent dataset that includes patent images, metadata, and detailed captions to support a variety of NLP, vision, and multimodal tasks. This dataset is also valuable for patent analysis tasks such as classification, retrieval, prior art searches, and design trend analysis. * Comprehensive dataset: We have compiled a collection of 435,101 patents spanning 16 years from U.S. design patent documents. This extensive collection includes a total of 3,609,805 drawing figures. Additionally, our dataset consists of eleven fields such as the title, patent ID, claims, date of publication, classification code, and extensive image-related information, including the number of images per patent and descriptions of the viewpoints. * Descriptive captions: To address the absence of descriptions about the designs, such as features and shapes, we generate elaborated captions by employing a vision-language model. It generates descriptive captions for the design figures, capturing details from the sketch. These captions, coupled with the images, enrich our dataset and becomes a valuable resource for advanced patent analysis and multimodal research applications.