{ "source": "bioscope", "mirror": "tasksource/bioscope-spans", "upstream": { "mirror": "tasksource/bioscope-spans", "url": "https://rgai.inf.u-szeged.hu/sites/rgai.inf.u-szeged.hu/files/bioscope.zip", "sha256": "b20b525506f783ab9c120548ac4022ab587bf7cc419beaf759f7253f0cf0b1d1", "revision": "43ba162359f01d6436590ba2a014421b6ad09621", "documentation": "https://huggingface.co/datasets/bigbio/bioscope/blob/43ba162359f01d6436590ba2a014421b6ad09621/bioscope.py", "license": "cc-by-2.0", "license_evidence": "https://huggingface.co/datasets/bigbio/bioscope/blob/43ba162359f01d6436590ba2a014421b6ad09621/README.md", "license_note": "Public biological abstracts and papers only; article texts retain their original terms. Clinical masked text excluded.", "title": "BioScope negation and speculation spans", "about": "Expert annotations of negation and speculation cues and their scopes in biomedical abstracts and full papers (the clinical part, whose text is masked, is left out). Every sentence asks for the negation and speculation cues and the scope of each cue. BioScope has no native split: `abstracts` gets a deterministic document-disjoint 80/10/10 split (`crc32(DocID) % 100`); `papers` has only 9 documents and stays train-only.", "configs": { "abstracts": [ "train", "validation", "test" ], "papers": [ "train" ] }, "citation": "@article{vincze2008bioscope,\n title = {The {BioScope} corpus: biomedical texts annotated for uncertainty, negation and their scopes},\n author = {Vincze, Veronika and Szarvas, Gy{\\\"o}rgy and Farkas, Rich{\\'a}rd and M{\\'o}ra, Gy{\\\"o}rgy and Csirik, J{\\'a}nos},\n journal = {BMC Bioinformatics},\n volume = {9},\n number = {Suppl 11},\n pages = {S9},\n year = {2008},\n url = {https://doi.org/10.1186/1471-2105-9-S11-S9},\n}" }, "settings": { "qasrl_partition": "orig", "qasrl_validation": ">=2 valid human judgments and strict majority; modal complete reading", "bioscope_members": [ "abstracts.xml", "full_papers.xml" ], "bioscope_split": "abstracts: deterministic document-disjoint crc32(DocID)%100 80/10/10; papers: train-only (9 documents)", "uploads": false }, "rows": { "abstracts/train": 22563, "abstracts/validation": 3045, "abstracts/test": 2512, "papers/train": 6384 }, "counts": { "abstracts/train": { "input_sentences": 9535 }, "abstracts/validation": { "input_sentences": 1266 }, "abstracts/test": { "input_sentences": 1070 }, "papers/train": { "input_sentences": 2670 } }, "script": "scripts/repackage_dataset/span_structure.py" }