| PMA_age_indications | | | 1.57 K | | therightstef | 2023-11-29 | Developing | |
| medical_relation | | This is about medical inner relation. | 0 | ruleryang | ruleryang | 2023-11-29 | Testing | |
| LitCovid-manual | | | 540 | | Jin-Dong Kim | 2023-11-30 | Developing | |
| glycogenes | | | 2.75 K | | Jin-Dong Kim | 2023-11-30 | Testing | |
| TextMining-in-bioinformatics | | TextMining in bioinformatics | 0 | | Aohnewug | 2020-04-21 | Developing | |
| ngly1-sample1 | | | 25 | | Nuria | 2023-11-27 | | |
| SMAFIRA_Feedback_Research_Goal | | | 15 | | zebet | 2023-11-28 | Released | |
| PGR-NEG | | Identification of Negative Relations
| 23 | Diana Sousa | dpavot | 2023-11-28 | Developing | |
| c_corpus | | Documents included in the c_corpus: https://github.com/SMAFIRA/c_corpus/blob/master/SMAFIRAc_0.4_Annotations.csv | 107 K | | | 2023-11-29 | Released | |
| OryzaGP_2020 | | OryzaGP is a dataset of pubmed abstract related to Oryza sativa species | 0 | Pierre Larmande | larmande | 2023-11-29 | Developing | |
| bionlp-ost-19-BB-norm-dev | | | 1.33 K | | ldeleger | 2023-11-29 | Developing | |
| bionlp-ost-19-BB-kb-test | | | 2.04 K | | ldeleger | 2023-11-29 | Developing | |
| vtt_friends_s01e04 | | | 162 | | donghwan kim | 2023-11-29 | | |
| OryzaGP_2020_TO-all | | | 0 | Pierre Larmande | larmande | 2023-11-29 | Developing | |
| ngly1-sample2 | | | 15 | | Nuria | 2023-11-29 | | |
| vtt_friends_s01e09 | | | 0 | | donghwan kim | 2023-11-29 | | |
| bionlp-ost-19-BB-norm-train | | | 2.45 K | | ldeleger | 2023-11-29 | Developing | |
| Goldhamster2_CellLineAnn | | | 618 | | zebet | 2023-11-29 | Developing | |
| Minna_de_Honkoku | | An annotation project for Minna de Honkoku, a crowdsourced transcription project for historical Japanese documents.. | 204 | Yuta Hashimoto | yhashimoto | 2023-11-28 | Developing | |
| blah6_medical_device | | BLAH6 hackathon project to annotate medical device indications in premarket approval statement summaries. The documents in this project serve as a corpus of premarket approval (PMA) statements that have undergone quality control. In particular, we have (1) removed non-ascii characters, (2) fixed some text segmentation errors, and (3) fixed some capitalization errors. | 0 | Stefano Rensi | therightstef | 2023-11-29 | Beta | |
