Rebuild from the original release with character offsets
Browse files- README.md +89 -27
- data/ner/test.jsonl +0 -0
- data/ner/train.jsonl +0 -0
- data/ner/validation.jsonl +0 -0
- data/re/test.jsonl +0 -0
- data/re/train.jsonl +0 -0
- data/re/validation.jsonl +0 -0
- data/test.jsonl +0 -0
- data/train.jsonl +0 -3
- data/validation.jsonl +0 -0
- schema.json +0 -62
README.md
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---
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dataset_info:
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features:
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- name: label
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dtype: string
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- name: description
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dtype: string
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configs:
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---
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---
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pretty_name: BioRED
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license: other
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language:
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- en
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dataset_info:
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- config_name: ner
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features:
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- name: input
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dtype: string
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- name: output
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dtype: json
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- name: schema
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dtype: json
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- config_name: re
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features:
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- name: input
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dtype: string
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- name: output
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dtype: json
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- name: schema
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dtype: json
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configs:
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- config_name: ner
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data_files:
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- split: train
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path: data/ner/train.jsonl
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- split: validation
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path: data/ner/validation.jsonl
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- split: test
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path: data/ner/test.jsonl
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- config_name: re
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data_files:
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- split: train
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path: data/re/train.jsonl
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- split: validation
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path: data/re/validation.jsonl
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- split: test
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path: data/re/test.jsonl
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---
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# BioRED
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BioRED (named entity recognition and relation extraction), rebuilt for MNEB from the original release with character-level offsets.
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**Source:** https://ftp.ncbi.nlm.nih.gov/pub/lu/BioRED/BIORED.zip (PubTator files)
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| config | split | records |
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| --- | --- | --- |
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| ner | train | 751 |
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| ner | validation | 191 |
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| ner | test | 190 |
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| re | train | 751 |
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| re | validation | 191 |
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| re | test | 190 |
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## Labels
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**entities:** `gene or gene product`, `chemical entity`, `disease or phenotypic feature`, `sequence variant`, `organism taxon`, `cell line`
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## Format
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Each record has `input` (the text), `output` (gold annotations grouped by label) and `schema` (the label set with descriptions). Offsets are character offsets into `input`, half-open `[start, end)`.
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```
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"output": {
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"entities": {"<label>": [{"text", "start", "end"}]},
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"relations": {"<label>": [{"head": {"text", "start", "end"},
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"tail": {"text", "start", "end"}}]},
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"events": {"<label>": [{"trigger": {"text", "start", "end"},
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"arguments": [{"role", "text", "start", "end"}]}]}
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}
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```
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Each schema item has a `description` and a `description_source`: `official` when adapted from the dataset's paper or guideline, `mneb` when written for MNEB. Relation datasets also give `setting` (`end_to_end` or `gold_entity`) and `negative_label`; relation items give `symmetric`. Event items list the `roles` valid for that event type.
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Within a record, identical annotations are kept once and outer whitespace is trimmed from spans; source annotations are otherwise kept as annotated.
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## Notes
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- Licence: public domain (US Government work, NCBI).
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- Config `ner`: every mention. Config `re`: relations between given mentions, one representative mention per concept and piece (as in CalOn).
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- Documents longer than 1,200 characters are cut at whitespace outside every annotated span (CalOn, arXiv:2610.17113); annotations whose parts fall in different pieces are dropped and counted.
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- All relation types are non-directional (symmetric). Novelty labels are not kept.
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## Build
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Built by `scripts/datasets/biored.py` in the MNEB repository.
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## Citation
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Luo et al. (2022), BioRED: a rich biomedical relation extraction dataset. Briefings in Bioinformatics.
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License: other
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data/ner/test.jsonl
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data/ner/train.jsonl
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data/ner/validation.jsonl
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data/re/test.jsonl
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data/re/train.jsonl
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data/test.jsonl
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data/train.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:34de47b2869d84a5befa344fd09cba30ca1053852eeecdf1e70f3dff8de36d79
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size 11587950
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data/validation.jsonl
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schema.json
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{
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"entities": [
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{
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"label": "gene or gene product",
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"description": "A gene, protein, mRNA, or other gene product mentioned in biomedical text."
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},
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{
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"label": "disease or phenotypic feature",
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"description": "A disease, symptom, syndrome, or disease-related phenotypic feature."
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},
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{
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"label": "chemical entity",
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"description": "A chemical substance, drug, or other chemical compound."
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},
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{
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"label": "organism taxon",
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"description": "An organism or taxonomic species."
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},
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{
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"label": "sequence variant",
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"description": "A genomic or protein sequence variant, including substitutions, insertions, deletions, and other mutations."
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},
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{
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"label": "cell line",
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"description": "An established cell line used in biomedical research."
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}
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],
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"relations": [
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{
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"label": "association",
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"description": "A general biological association that cannot be classified into a more specific relation type."
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},
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{
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"label": "positive correlation",
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"description": "A positive association in which one entity promotes, induces, increases, or is positively correlated with the other."
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},
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{
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"label": "negative correlation",
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"description": "A negative association in which one entity inhibits, suppresses, treats, decreases, or protects against the other."
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},
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{
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"label": "bind",
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"description": "A direct physical binding or molecular interaction between two entities."
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},
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{
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"label": "comparison",
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"description": "An explicit comparison between two entities without asserting another specific relation."
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},
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{
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"label": "cotreatment",
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"description": "A relation indicating that two chemicals or drugs are administered together as part of the same treatment."
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},
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{
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"label": "drug interaction",
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"description": "A pharmacodynamic interaction between two chemicals or drugs."
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},
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{
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"label": "conversion",
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"description": "A relation indicating that one chemical is converted or transformed into another chemical."
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}
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]
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}
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