Datasets:
added dataconfigs for Fiber Seg, LDA Preprocessing + Training / Inference
Browse files- ark_example.py +32 -3
- data/spatial_analysis/spatial_lda.zip +3 -0
ark_example.py
CHANGED
@@ -60,15 +60,16 @@ _LICENSE = "https://github.com/angelolab/ark-analysis/blob/main/LICENSE"
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# _URL_REPO = "https://huggingface.co/datasets/angelolab/ark_example"
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-
_URL_DATA = {
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"image_data": "./data/image_data.zip",
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"cell_table": "./data/segmentation/cell_table.zip",
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"deepcell_output": "./data/segmentation/deepcell_output.zip",
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"example_pixel_output_dir": "./data/pixie/example_pixel_output_dir.zip",
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"example_cell_output_dir": "./data/pixie/example_cell_output_dir.zip",
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}
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-
_URL_DATASET_CONFIGS = {
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"segment_image_data": {"image_data": _URL_DATA["image_data"]},
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"cluster_pixels": {
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"image_data": _URL_DATA["image_data"],
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@@ -87,6 +88,18 @@ _URL_DATASET_CONFIGS = {
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"deepcell_output": _URL_DATA["deepcell_output"],
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"example_cell_output_dir": _URL_DATA["example_cell_output_dir"],
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},
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}
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@@ -94,7 +107,7 @@ _URL_DATASET_CONFIGS = {
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class ArkExample(datasets.GeneratorBasedBuilder):
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"""The Dataset consists of 11 FOVs"""
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-
VERSION = datasets.Version("0.0.
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# This is an example of a dataset with multiple configurations.
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# If you don't want/need to define several sub-sets in your dataset,
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@@ -126,6 +139,22 @@ class ArkExample(datasets.GeneratorBasedBuilder):
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version=VERSION,
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description="This configuration contains data used by notebook 4 - Post Clustering.",
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),
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]
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def _info(self):
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# _URL_REPO = "https://huggingface.co/datasets/angelolab/ark_example"
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+
_URL_DATA: dict[str, str] = {
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"image_data": "./data/image_data.zip",
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"cell_table": "./data/segmentation/cell_table.zip",
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"deepcell_output": "./data/segmentation/deepcell_output.zip",
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"example_pixel_output_dir": "./data/pixie/example_pixel_output_dir.zip",
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"example_cell_output_dir": "./data/pixie/example_cell_output_dir.zip",
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+
"spatial_lda": "./data/spatial_analysis/spatial_lda.zip",
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}
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+
_URL_DATASET_CONFIGS: dict[str, dict[str, str]] = {
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"segment_image_data": {"image_data": _URL_DATA["image_data"]},
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"cluster_pixels": {
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"image_data": _URL_DATA["image_data"],
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"deepcell_output": _URL_DATA["deepcell_output"],
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"example_cell_output_dir": _URL_DATA["example_cell_output_dir"],
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},
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"fiber_segmentation": {
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"image_data": _URL_DATA["image_data"],
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},
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"LDA_preprocessing": {
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"image_data": _URL_DATA["image_data"],
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"cell_table": _URL_DATA["cell_table"],
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},
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"LDA_training_inference": {
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"image_data": _URL_DATA["image_data"],
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"cell_table": _URL_DATA["cell_table"],
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"spatial_lda": _URL_DATA["spatial_lda"],
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}
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}
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class ArkExample(datasets.GeneratorBasedBuilder):
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"""The Dataset consists of 11 FOVs"""
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VERSION = datasets.Version("0.0.4")
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# This is an example of a dataset with multiple configurations.
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# If you don't want/need to define several sub-sets in your dataset,
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version=VERSION,
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description="This configuration contains data used by notebook 4 - Post Clustering.",
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),
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datasets.BuilderConfig(
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name="fiber_segmentation",
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version=VERSION,
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description="This configuration contains data used by the Fiber Segmentation Notebook.",
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),
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datasets.BuilderConfig(
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name="LDA_preprocessing",
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version=VERSION,
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description="This configuration contains data used by the Spatial LDA - Preprocessing Notebook."
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),
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datasets.BuilderConfig(
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name="LDA_training_inference",
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version=VERSION,
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description="This configuration contains data used by the Spatial LDA - Training and Inference Notebook."
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),
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]
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def _info(self):
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data/spatial_analysis/spatial_lda.zip
ADDED
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:7028b6b132fa51eee9ebb99f9f79106e9a6f1505cd92604cc1a6dce6f99aee7a
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+
size 3486371
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