Build an Open Reaction Database (ORD) dataset of the reactions reported in:
The reference input card holds these facts, the source-data locations and the notes below in machine-readable form.
Every reaction the paper reports with its data (the wishlist estimates about 500 reactions; HTE): inputs with amounts and roles, conditions, workups, outcomes and provenance, following the ord-curation Skill. Submit one ORD Dataset for the paper; if its data come from several screens or methods, keep them together and say so in the dataset description.
Paper: https://doi.org/10.1021/acscatal.5c02019 (ACS Catalysis 2025), an HTE study of light-driven reductive cross-electrophile coupling of aryl halides, pairing substrates with photocatalysts. According to the ORD curator notes, the Supporting Information PDF contains the data as plate maps plus tables, about 500 reactions. The compounds are given as structure drawings, so every substrate, photocatalyst and product must be converted to SMILES. The article is not open access; get the SI from the publisher page. Check whether the plate-map values are real text or embedded images before committing to the work.
Known locations:
Plate maps may be color-coded images with embedded values. Structure-to-SMILES conversion by hand or OCSR is error-prone. There are probably several screens: a substrate-photocatalyst matrix and a scope. Yield type (assay or isolated) is unknown.
dataset: the ORD Dataset, compressed (.binpb.gz, .pb.gz, .txtpb.gz, .pbtxt.gz or .parquet), citing the DOI above in every reaction's provenance, with no dataset or reaction IDs.sources: a .zip with a README.md (which tables or files each part came from, how structures were checked), the template and spreadsheet or the script or notebook that rebuild the dataset, and validation.txt, the output of ORD's validator (ord-schema 0.8.3) on the dataset file.Open the wishlist card. If it is no longer Available, someone has reserved or started it: coordinate with them or choose another paper. Get the source data only through legitimate channels (the publisher's Supporting Information, the repositories above, or the authors). Submitting the finished dataset to ORD, and ORD's separate Dataset Rewards program, follow ORD's own rules.