Omkar2118/datasets huggingface dataset:
KLUE
Full name: Korean Language Understanding Evaluation

Korean Language Understanding Evaluation (**KLUE**) benchmark is a series of datasets to evaluate natural language understanding capability of Korean language models. KLUE consists of 8 diverse and representative tasks, which are accessible to anyone without any restrictions. With ethical considerations in mind, we deliberately design annotation guidelines to obtain unambiguous annotations for all datasets. Furthermore, we build an evaluation system and carefully choose evaluations metrics for every task, thus establishing fair comparison across Korean language models.

KLUE benchmark is composed of 8 tasks:

- Topic Classification (TC)
- Sentence Textual Similarity (STS)
- Natural Language Inference (NLI)
- Named Entity Recognition (NER)
- Relation Extraction (RE)
- (Part-Of-Speech) + Dependency Parsing (DP)
- Machine Reading Comprehension (MRC)
- Dialogue State Tracking (DST)

Introducing paper: KLUE: Korean Language Understanding Evaluation
GBSG2
Full name: German Breast Cancer Study Group 2

The German Breast Cancer Study Group (GBSG2) dataset studies the effects of hormone treatment on recurrence-free survival time. 
The event of interest is the recurrence of cancer time. 
This data frame contains the observations of 686 women:

* horTh: hormonal therapy, a factor at two levels (yes and no).
* age: age of the patients in years.
* menostat: menopausal status, a factor at two levels pre (premenopausal) and post (postmenopausal).
* tsize: tumor size (in mm).
* tgrade: tumor grade, a ordered factor at levels I < II < III.
* pnodes: number of positive nodes.
* progrec: progesterone receptor (in fmol).
* estrec: estrogen receptor (in fmol).

* time: recurrence free survival time (in days).
* cens: censoring indicator (0- censored, 1- event).

**References**

* W. Sauerbrei and P. Royston (1999). Building multivariable prognostic and diagnostic models: transformation of the predictors by using fractional polynomials. Journal of the Royal Statistics Society Series A, Volume 162(1), 71–94
* M. Schumacher, G. Basert, H. Bojar, K. Huebner, M. Olschewski, W. Sauerbrei, C. Schmoor, C. Beyerle, R.L.A. Neumann and H.F. Rauschecker for the German Breast Cancer Study Group (1994), Randomized 2 × 2 trial evaluating hormonal treatment and the duration of chemotherapy in node- positive breast cancer patients. Journal of Clinical Oncology, 12, 2086–2093

Source: [Lifelines](https://lifelines.readthedocs.io/en/latest/lifelines.datasets.html#lifelines.datasets.load_gbsg2)