Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
10K - 100K
License:
Add repo card
Browse files
README.md
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---
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dataset_info:
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features:
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- name: tags
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- split: validation
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path: data/validation-*
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---
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---
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license: mit
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task_categories:
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- token-classification
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task_ids:
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- named-entity-recognition
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dataset_info:
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features:
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- name: tags
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- split: validation
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path: data/validation-*
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---
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---
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pretty_name: BioNLP2004 Filtered
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---
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# Dataset Card for BioNLP2004 Filtered
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This dataset is an adaptation of the original [tner/bionlp2004](https://huggingface.co/datasets/tner/bionlp2004) dataset, specifically tailored for projects focusing on `CellLine` and `CellType` entities.
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## Dataset Description
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The original BioNLP2004 dataset is a named entity recognition (NER) dataset in the biomedical domain, annotated with various entity types such as DNA, Protein, Cell_type, Cell_line, and RNA.
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This adapted version, `OTAR3088/BioNLP_Filtered`, has undergone the following modifications:
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1. **Entity Filtering**: The dataset has been filtered to retain only `CellLine` and `CellType` entities. All other original entity types (DNA, Protein, RNA) have been converted to the 'O' (Outside) tag.
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2. **Nomenclature Change**: The naming convention for the retained entities has been updated to align with project-specific styling. For instance, `cell_line` entities from the original dataset are now represented as `CellLine`, and `cell_type` as `CellType`.
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## Dataset Structure
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The dataset consists of three splits: `train`, `test`, and `validation`.
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Each example in the dataset contains:
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* `tokens`: A list of strings representing the tokens in a sentence.
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* `tags`: A list of strings representing the IOB (Inside, Outside, Beginning) tags for each token. The tags are now limited to 'O', 'B-CellLine', 'I-CellLine', 'B-CellType', and 'I-CellType'.
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### Example
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```json
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{
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"tags": [
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"O",
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"B-CellLine",
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"O",
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"O",
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"O",
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"O",
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"O",
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"O",
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"O",
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"O",
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"O",
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"O",
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"O",
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"O",
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"O",
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"O",
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"O",
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"O",
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"O",
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"O",
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"O",
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"O",
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"O"
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],
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"tokens": [
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"Since",
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"HUVECs",
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"released",
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"superoxide",
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"anions",
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"in",
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"response",
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"to",
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"TNF",
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",",
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"and",
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"H2O2",
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"induces",
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"VCAM-1",
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",",
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"PDTC",
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"may",
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"act",
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"as",
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"a",
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"radical",
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"scavenger",
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"."
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]
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}
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