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README.md

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 ---
-license: apache-2.0
+language: 
+- en
+license: 
+- apache-2.0
+task_categories:
+- token-classification
+pretty_name: 'Chemical Named Entity Recognition (CNER) Dataset for BatteryDataExtractor'
 ---
+
+# CNER Dataset
+## Original Data Source
+
+#### CHEMDNER
+M. Krallinger, O. Rabal, F. Leitner, M. Vazquez, D. Salgado,
+Z. Lu, R. Leaman, Y. Lu, D. Ji, D. M. Lowe et al., J. Cheminf.,
+2015, 7, 1–17.
+
+#### MatScholar
+I. Weston, V. Tshitoyan, J. Dagdelen, O. Kononova, A. Tre-
+wartha, K. A. Persson, G. Ceder and A. Jain, J. Chem. Inf.
+Model., 2019, 59, 3692–3702.
+
+#### SOFC
+A. Friedrich, H. Adel, F. Tomazic, J. Hingerl, R. Benteau,
+A. Maruscyk and L. Lange, The SOFC-exp corpus and neural
+approaches to information extraction in the materials science
+domain, 2020, https://arxiv.org/abs/2006.03039.
+
+#### BioNLP
+G. Crichton, S. Pyysalo, B. Chiu and A. Korhonen, BMC Bioinf.,
+2017, 18, 1–14.
+
+## Citation
+BatteryDataExtractor: battery-aware text-mining software embedded with BERT models