Information Extraction Datasets
This package takes care of all of the tedium when loading various information extraction datasets, providing the data in fully validated and typed Pydantic objects.
Datasets
BioRED
Example
from ie_datasets import BioRED
BioRED.load_units(BioRED.Split.TRAIN)
ChemProt
Example
from ie_datasets import ChemProt
ChemProt.load_units(ChemProt.Split.TRAIN)
CrossRE
Example
from ie_datasets import CrossRE
CrossRE.load_units(CrossRE.Split.TRAIN, domain=CrossRE.Domain.AI)
CUAD
Example
from ie_datasets import CUAD
CUAD.load_units()
DEFT
Example
from ie_datasets import DEFT
DEFT.load_units(DEFT.Split.TRAIN, category=DEFT.Category.BIOLOGY)
NOTE: DEFT's data files contain an overwhelming number of errata. For now, we drop the errors instead of fixing them. This means that we are loading a subset of DEFT, not the full dataset.
DocRED
Example
from ie_datasets import DocRED
DocRED.load_schema()
DocRED.load_units(DocRED.Split.TRAIN_ANNOTATED)
NOTE: DocRED has been superseded by Re-DocRED
HyperRED
Example
from ie_datasets import HyperRED
HyperRED.load_units(HyperRED.Split.TRAIN)
KnowledgeNet
Example
from ie_datasets import KnowledgeNet
KnowledgeNet.load_units(KnowledgeNet.Split.TRAIN)
NOTE: The test split of KnowledgeNet is unlabelled.
Re-DocRED
Example
from ie_datasets import ReDocRED
ReDocRED.load_schema()
ReDocRED.load_units(ReDocRED.Split.TRAIN)
SciERC
Example
from ie_datasets import SciERC
SciERC.load_units(SciERC.Split.TRAIN)
SciREX
Example
from ie_datasets import SciREX
SciREX.load_units(SciREX.Split.TRAIN)
SoMeSci
Example
from ie_datasets import SoMeSci
SoMeSci.load_schema()
SoMeSci.load_units(SoMeSci.Split.TRAIN, group=SoMeSci.Group.CREATION_SENTENCES)
TPLinker/NYT
Example
from ie_datasets import TPLinkerNYT
TPLinkerNYT.load_schema()
TPLinkerNYT.load_units(TPLinkerNYT.Split.TRAIN)
TPLinker/WebNLG
Example
from ie_datasets import TPLinkerWebNLG
TPLinkerWebNLG.load_schema()
TPLinkerWebNLG.load_units(TPLinkerWebNLG.Split.TRAIN)
WikiEvents
Example
from ie_datasets import WikiEvents
WikiEvents.load_ontology()
WikiEvents.load_units(WikiEvents.Split.TRAIN)
Metadata
Release files for ie-datasets 0.0.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ie_datasets-0.0.8.tar.gz | 553.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ie_datasets-0.0.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 630.1 kB
Release files / ie_datasets-0.0.8.tar.gz
| Download URL | ie_datasets-0.0.8.tar.gz |
|---|---|
| Size | 553.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
05c05598d2545914437414463997d2bb29b90bd42a95b7242ed77b2ba59735c1
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
Release files / ie_datasets-0.0.8-py3-none-any.whl
| Download URL | ie_datasets-0.0.8-py3-none-any.whl |
|---|---|
| Size | 77.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7963b7656e5aa8af2e23eca87815a91d6c1085a8db6d86cc6cfa01f9bb8d8868
|
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BLAKE2b-256 checksum How to use checksums |
10d6fa8776b20c887d8bc8d97784b18ebadc7a614c2c9b32671638eebc7d2a5b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|