Datasets:

cometadata
/

siris-academic-affiliation-benchmark

license: cc0-1.0
pretty_name: SIRIS Academic Affiliation Benchmark
language:
  - multilingual
configs:
  - config_name: datacite
    data_files:
      - split: train
        path: data/datacite/train-00000-of-00001.parquet
  - config_name: arxiv
    data_files:
      - split: train
        path: data/arxiv/train-00000-of-00001.parquet

SIRIS academic affiliation benchmark

This dataset contains two samples of 3,000 distinct academic affiliation strings. Each configuration has one affiliation string column. It contains no ROR labels or source metadata columns.

DataCite configuration

The population is 1,681,662 exact rows from the train split of cometadata/datacite-unique-affiliations at revision e7606edb694d3dcd4a7ea86a146818bd5a339738. Sampling is without replacement and weighted by occurrence_count. For a seeded SHA-256 uniform value U, the priority is -log(U) / occurrence_count; the 3,000 lowest priorities are selected.

arXiv configuration

The population is 2,399,952 exact distinct strings extracted from prediction[].affiliations[].affiliation in cometadata/arxiv-author-affiliations-matched-ror-ids. The source main revision is a56eb960359fb8dc32ee33107e9e501ddd7e9c3d; processing uses immutable Parquet conversion revision 97a71fa6d850d11af13a0f2c98d0f1f206b44955. The 3,000 lowest seeded SHA-256 values are selected uniformly without replacement.

Exact-text and reproducibility policy

Both samples use seed 42 and algorithm identifier siris-affiliation-sample-v1. Strings retain their original case and all whitespace. Null arXiv values are excluded; empty and whitespace-only strings remain eligible. No string is trimmed, normalized, transliterated, or rewritten.

License

Both sources and this derived dataset are released under CC0 1.0.