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Datasets:
batterydata
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cner

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Token Classification
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Shu Huang
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metadata
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