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jnlpba

jnlpba /jnlpbaThe data came from the GENIA version 3.02 corpus (Kim et al., 2003). This was formed from a controlled search on MEDLINE using the MeSH terms human, blood cells and transcription factors. From this search 2,000 abstracts were selected and hand annotated according to a small taxonomy of 48 classes based on a chemical classification. Among the classes, 36 terminal classes were used to annotate the GENIA corpus.token-classification10K<n<100K9 likes843 downloads3y agoHugging Facebigbio /jnlpbaNER For Bio-Entitiestext10K<n<100K1 likes102 downloads4y agoHugging Facecommanderstrife /jnlpbaThe data came from the GENIA version 3.02 corpus (Kim et al., 2003). This was formed from a controlled search on MEDLINE using the MeSH terms human, blood cells and transcription factors. From this search 2,000 abstracts were selected and hand annotated according to a small taxonomy of 48 classes based on a chemical classification. Among the classes, 36 terminal classes were used to annotate the GENIA corpus.text10K<n<100K0 likes51 downloads4y agoHugging Facedisi-unibo-nlp /JNLPBAtext10K<n<100K0 likes44 downloads1y agoHugging FaceLots-of-LoRAs /task1480_gene_extraction_jnlpba_dataset Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1480_gene_extraction_jnlpba_dataset Additional Information Citation Information The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it: @misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions, title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1480_gene_extraction_jnlpba_dataset.texttext-generation1K<n<10K0 likes31 downloads2y agoHugging Faceextraordinarylab /jnlpba['CELL_LINE', 'CELL_TYPE', 'DNA', 'PROTEIN', 'RNA'] text10K<n<100K0 likes29 downloads9mo agoHugging Face