The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
CellTissue Data train/test
*** Data curation parked due to consolidated curation strategy ***
Papers manually annotated and reviewed, for the following entity types, where applicable:
- Cell type
- Cell line
- Tissue
- Cell context
- Cell component
Dataset Sources
The following papers were annotated for use as training / testing text data:
PMCID | Journal | Year
PMC12115102 | Plants | 2025
PMC12101583 | Cancer Biology & Therapy | 2025
PMC12081701 | Nature Communications | 2025
PMC11075828 | PLoS Pathogens | 2024
PMC10442740 | Biomedical Reports | 2023
PMC12141184 | Saudi Pharmaceutical Journal | 2025
PMC12118871 | PLoS One | 2025
PMC12105127 | BMC Complementary Medicine and Therapies | 2025
PMC12072392 | International Journal of Molecular Sciences | 2025
PMC11699618 | Iscience | 2024
PMC11641291 | International Journal of Molecular Sciences | 2024
PMC11419360 | PLoS Pathogens | 2024
Uses
The aim for this data is for it to be used for the testing and correction of NER models generated in the OTAR3088 project.
Dataset Structure
CoNLL format, friendly for the task of NER-model production. An example of what a text annotation looks like in the CoNLL structure:
- - - - - - -
the -X- _ O
frequency -X- _ O
of -X- _ O
latently -X- _ B-CELL_CONTEXT
infected -X- _ I-CELL_CONTEXT
cells -X- _ B-CELL
and -X- _ O
- - - - - - -
Curation Rationale
This dataset was a first pass of data generation serving our aim to produce the CeLLaTe model.
We annotated with the inclusion of sub-type cell and tissue descriptors, being conscious of cell components also.
A change in curation style and motivation led us to archiving this data.
Source Data
Data was derived from articles, sourced via EuropePMC.
Who are the annotators?
Christine Withers
Bias, Risks, and Limitations
This data has been annotated by one individual with no inter-annotator agreement calculated. Therefore this data cannot be considered gold standard and may contain erroneous annotations.
Recommendations
It is recommended that should this data be used it should be revised. Contributions / corrections of this data are most welcome via HuggingFace should it prove useful.
We have decided to keep this data for traceability in the progression of our work.
Dataset Card Authors
Christine Withers - https://huggingface.co/christine-withers
Dataset Card Contact
Christine Withers - https://huggingface.co/christine-withers withers@ebi.ac.uk
- Downloads last month
- 13