License status and Mdexa hosting, recorded separatelyAll datasets

PubMedCausal

Verified by Mdexa · Checked against the source text under public rules.How we check

Commercial use
Yes
Derivatives
Yes
Redistribution
Yes
File on Mdexa
NoLink only

first-hand data-scope statement(s) allow commercial use and redistribution

PermissiveLink onlyMITSave

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Mdexa verified · Permissive · 2026-11Mdexa verifiedPermissive · 2026-11

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Cite this pageMdexa, PubMedCausal, https://mdexa.com/datasets/pubmedcausal/, verified 2026-11-14.

Key facts

Domain
Biomedical literature Modern medicine
Content
Annotated corpora · LiteratureSpan-level annotated corpus for causal relation extraction in biomedical text, built from 30,000 paragraph-level PubMed abstract samples with 6,491 adjudicated cause-effect pairs.
Size
—As stated: 30,000 paragraph-level samples
Language / modality
English / Text
Publisher
jaypee01
Year
—
Expert review
—
Verification
Verified: license text seen

Commercial use of PubMedCausal

Commercial use: Yes. License status: Permissive.

Conditions
Notice kept

Quoted statements and their sources are in PubMedCausal license evidence.

Verdicts record what sources state and are not legal advice.

Tags

Task format
Relation extraction

Quoted from the source**PubMedCausal** is a span-level annotated corpus for **causal relation extraction in biomedical text**.Snapshot s01

Text classification

Quoted from the source- text-classificationSnapshot s01

Intended use
Evaluation

Quoted from the sourceThese properties make the corpus suitable for evaluating causal extraction under conditions that more closely resemble causal statements encountered in biomedical literature.Snapshot s01

Fine-tuning
Specialty
Multi-specialty
Source type
Research literature

Quoted from the sourceThe corpus is derived from PubMed abstracts.Snapshot s01

Expert involvement
Reviewed, method unspecified

Quoted from the sourceAnnotations were subsequently reviewed and adjudicated to produce the final corpus.Snapshot s01

Official split
Train and test splits

Quoted from the sourceThe Hugging Face release provides train and test partitions for the supported task configurations.Snapshot s01

Author-statedInferredHuman-confirmed

PubMedCausal license evidence 1

  1. Hugging Face card metadataPage opened
    MIT
    Third-party text · Hugging Face card metadatalicense: mit

    Statement found in snapshot s01 (readme)

    huggingface.co2026-11-12 · s01

Source and lineage

No upstream or downstream datasets recorded.

Known issues with PubMedCausal

  • Severe class imbalance: only 13.15% of samples contain annotated causality, so accuracy alone is misleading.
  • Annotated relations express causal claims in the literature; they do not establish that the claims are true, and predictions are not medical advice.

Preflight

Not run Runs only on ingested data; says nothing about quality.

Downloading PubMedCausal and API access

No file on Mdexa (see the verdict). Get it from the source and confirm the terms there:

5 files · 58.6 MB

Citing PubMedCausal

Mdexa, PubMedCausal, https://mdexa.com/datasets/pubmedcausal/, verified 2026-11-14.
More citation details

The source gives no citation text; the line above cites this card.

Machine-readable

pubmedcausal.jsonpubmedcausal.mdcatalog.json

Change log 1
2026-11-14Added via the automated pipeline and passed all checks (gates, verbatim quotes, rule engine, two independent extractions).

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