add repo card

README.md

@@ -1,4 +1,9 @@
 ---
+license: mit
+task_categories:
+- token-classification
+task_ids:
+- named-entity-recognition
 dataset_info:
   features:
   - name: sentence
@@ -32,3 +37,49 @@ configs:
   - split: val
     path: data/val-*
 ---
+
+---
+{{ dataset_card }}
+---
+
+# Proposed Active Learning Data split
+
+This version of dataset is just a proposed split to test our planned active learning cycles
+Each of the split(train, validation), have been carefully selected to represent all 3 entities of interest
+**CellLine, CellType and Tissue**.
+
+
+##Dataset Description
+
+Each of the split contain the following features: 
+- sentence: list of sentences
+- entities: list of dict of entities found in sentences
+- data_source: the source of the aricle where the sentence orginates
+
+Our dataset have been currated from 3 different domains to represent the 3 entities of interest:
+1. Single-Cell transciptomics: rich in CellTypes and Tissues
+2. ChembL assay desriptions: rich in CellLines
+3. Stem-Cell research: contains all 3 entities
+
+The articles from Stem-Cell have been collected from the CellFinder data repository:
+The creation CellFinder dataset is detailed at:
+
+>Mariana Neves, Alexander Damaschun, Andreas Kurtz, Ulf Leser (2012)
+>Annotating and evaluating text for stem cell research. 
+>In Proceedings Third Workshop on Building and Evaluation Resources for Biomedical Text Mining (BioTxtM 2012),
+>Language Resources and Evaluation (LREC) 2012.
+
+
+---
+
+## Intended Use
+
+### Primary Use
+- Supervised NER training for biomedical NLP tasks
+
+### Not Intended For
+- Clinical or patient-level decision making
+
+---
+
+