datamonger
BUNDLED_REGISTRY
CacheCleanResult
location
removed
skipped
bytes_removed
CacheEntry
kind
sha256
size
modified_at
path
valid
datasets
registry_release
CacheInfo
total_size
entries
DataInfo
dataset_id
source
name
version
registry_index_sha256
title
description
modality
provenance
license
artifacts
representation
expected_components
verification_records
related
tasks
DatasetData
FetchInfo
artifact_digests
verification
canonical_form
canonical_digest
FetchResult
data
info
Registry
release
index_sha256
index_url
schema_version
SparseDataset
features
response
SparseDatasetSplit
train
test
active_registry
cache_clean
cache_info
data_info
fetch_artifact
fetch_data
list_data
resolve_registry
set_registry
_api
_cache_management
_errors
DatamongerError
RegistryError
RegistryIntegrityError
RegistryReleaseError
UnsupportedRegistryError
RegistryRetrievalError
RegistryOfflineError
UnknownDatasetError
RetrievalError
ArtifactSelectionError
ArtifactUnavailableError
OfflineError
RetrievalLocationsError
ArtifactIntegrityError
CacheError
UnsupportedDecoderError
DecodeError
DecodedIntegrityError
_models
_registry
_selection
errors
Datamonger for Python · python · 0.1.0
datamonger.DatasetData
DatasetData = pd.DataFrame | SparseDataset | SparseDatasetSplit
DatamongerDatamonger