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cathv commited on
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1 Parent(s): 41fdf1c

Delete loading script

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  1. test.py +0 -276
test.py DELETED
@@ -1,276 +0,0 @@
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- import pandas as pd
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- import datasets
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- import numpy as np
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- import ast
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- from PIL import Image
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-
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- class InvasivePlantsConfig(datasets.BuilderConfig):
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-
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- def __init__(self, **kwargs):
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- super(InvasivePlantsConfig, self).__init__(**kwargs)
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-
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- class InvasivePlantsDataset(datasets.GeneratorBasedBuilder):
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-
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- BUILDER_CONFIGS = [
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- InvasivePlantsConfig(
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- name="Kenya",
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- version=datasets.Version("1.0.0"),
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- description="Subset of the Dataset containing Hotspots from Kenya"
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- ),
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- InvasivePlantsConfig(
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- name="South_Africa",
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- version=datasets.Version("1.0.0"),
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- description="Subset of the Dataset containing Hotspots from South Africa"
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- ),
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- InvasivePlantsConfig(
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- name="USA_Summer",
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- version=datasets.Version("1.0.0"),
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- description="Subset of the Dataset containing Hotspots from the United States (Summer Season)"
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- ),
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- InvasivePlantsConfig(
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- name="USA_Winter",
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- version=datasets.Version("1.0.0"),
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- description="Subset of the Dataset containing Hotspots from the United States (Winter Season) "
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- ),
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- InvasivePlantsConfig(
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- name="Species_ID",
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- version=datasets.Version("1.0.0"),
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- description="Subset containing the list of species for each country"
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- )
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- ]
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-
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- DEFAULT_CONFIG_NAME = "Species_ID"
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-
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- def _info(self):
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- #state,state_code,split,num_complete_checklists,target,geometry
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-
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-
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- if self.config.name == "Kenya":
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- features = datasets.Features({
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- "hotspot_id": datasets.Value("string"),
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- "lon": datasets.Value("float32"),
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- "lat": datasets.Value("float32"),
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- 'sat_imagery_path': datasets.Value("string"),
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- 'environmental_path': datasets.Value("string"),
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- "target_path": datasets.Value("string"),
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- "bio_1": datasets.Value("float32"),
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- "bio_2": datasets.Value("float32"),
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- "bio_3": datasets.Value("float32"),
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- "bio_4": datasets.Value("float32"),
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- "bio_5": datasets.Value("float32"),
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- "bio_6": datasets.Value("float32"),
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- "bio_7": datasets.Value("float32"),
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- "bio_8": datasets.Value("float32"),
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- "bio_9": datasets.Value("float32"),
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- "bio_10": datasets.Value("float32"),
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- "bio_11": datasets.Value("float32"),
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- "bio_12": datasets.Value("float32"),
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- "bio_13": datasets.Value("float32"),
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- "bio_14": datasets.Value("float32"),
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- "bio_15": datasets.Value("float32"),
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- "bio_16": datasets.Value("float32"),
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- "bio_17": datasets.Value("float32"),
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- "bio_18": datasets.Value("float32"),
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- "bio_19": datasets.Value("float32"),
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- "num_complete_checklists" : datasets.Value("int32"),
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- "split": datasets.Value("string"),
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- })
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- elif self.config.name == "South_Africa":
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- features = datasets.Features({
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- "hotspot_id": datasets.Value("string"),
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- "lon": datasets.Value("float32"),
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- "lat": datasets.Value("float32"),
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- 'sat_imagery_path': datasets.Value("string"),
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- 'environmental_path': datasets.Value("string"),
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- "target_path": datasets.Value("string"),
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- "bio_1": datasets.Value("float32"),
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- "bio_2": datasets.Value("float32"),
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- "bio_3": datasets.Value("float32"),
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- "bio_4": datasets.Value("float32"),
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- "bio_5": datasets.Value("float32"),
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- "bio_6": datasets.Value("float32"),
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- "bio_7": datasets.Value("float32"),
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- "bio_8": datasets.Value("float32"),
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- "bio_9": datasets.Value("float32"),
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- "bio_10": datasets.Value("float32"),
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- "bio_11": datasets.Value("float32"),
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- "bio_12": datasets.Value("float32"),
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- "bio_13": datasets.Value("float32"),
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- "bio_14": datasets.Value("float32"),
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- "bio_15": datasets.Value("float32"),
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- "bio_16": datasets.Value("float32"),
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- "bio_17": datasets.Value("float32"),
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- "bio_18": datasets.Value("float32"),
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- "bio_19": datasets.Value("float32"),
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- "num_complete_checklists" : datasets.Value("int32"),
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- "split": datasets.Value("string"),
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- })
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- elif self.config.name == "USA_Summer":
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- features = datasets.Features({
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- "hotspot_id": datasets.Value("string"),
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- "lon": datasets.Value("float32"),
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- "lat": datasets.Value("float32"),
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- 'sat_imagery_path': datasets.Value("string"),
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- 'environmental_path': datasets.Value("string"),
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- "target_path": datasets.Value("string"),
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- "bio_1": datasets.Value("float32"),
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- "bio_2": datasets.Value("float32"),
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- "bio_3": datasets.Value("float32"),
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- "bio_4": datasets.Value("float32"),
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- "bio_5": datasets.Value("float32"),
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- "bio_6": datasets.Value("float32"),
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- "bio_7": datasets.Value("float32"),
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- "bio_8": datasets.Value("float32"),
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- "bio_9": datasets.Value("float32"),
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- "bio_10": datasets.Value("float32"),
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- "bio_11": datasets.Value("float32"),
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- "bio_12": datasets.Value("float32"),
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- "bio_13": datasets.Value("float32"),
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- "bio_14": datasets.Value("float32"),
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- "bio_15": datasets.Value("float32"),
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- "bio_16": datasets.Value("float32"),
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- "bio_17": datasets.Value("float32"),
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- "bio_18": datasets.Value("float32"),
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- "bio_19": datasets.Value("float32"),
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- "num_complete_checklists" : datasets.Value("int32"),
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- "split": datasets.Value("string"),
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- })
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- elif self.config.name == "USA_Winter":
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- features = datasets.Features({
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- "hotspot_id": datasets.Value("string"),
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- "lon": datasets.Value("float32"),
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- "lat": datasets.Value("float32"),
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- 'sat_imagery_path': datasets.Value("string"),
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- 'environmental_path': datasets.Value("string"),
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- "target_path": datasets.Value("string"),
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- "bio_1": datasets.Value("float32"),
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- "bio_2": datasets.Value("float32"),
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- "bio_3": datasets.Value("float32"),
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- "bio_4": datasets.Value("float32"),
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- "bio_5": datasets.Value("float32"),
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- "bio_6": datasets.Value("float32"),
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- "bio_7": datasets.Value("float32"),
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- "bio_8": datasets.Value("float32"),
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- "bio_9": datasets.Value("float32"),
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- "bio_10": datasets.Value("float32"),
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- "bio_11": datasets.Value("float32"),
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- "bio_12": datasets.Value("float32"),
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- "bio_13": datasets.Value("float32"),
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- "bio_14": datasets.Value("float32"),
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- "bio_15": datasets.Value("float32"),
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- "bio_16": datasets.Value("float32"),
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- "bio_17": datasets.Value("float32"),
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- "bio_18": datasets.Value("float32"),
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- "bio_19": datasets.Value("float32"),
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- "num_complete_checklists" : datasets.Value("int32"),
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- "split": datasets.Value("string"),
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- })
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- elif self.config.name == "Species_ID":
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- features = datasets.Features({
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- "scientific_name": datasets.Value("string"),
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- "ebird_code": datasets.Value("string"),
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- "inat_preview": datasets.Value("string"),
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- })
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- else:
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- raise ValueError(f"Unsupported config: {self.config.name}")
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-
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- return datasets.DatasetInfo(
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- description="The BATIS Benchmark Dataset",
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- features=features,
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- supervised_keys=None,
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- homepage="https://huggingface.co/datasets/cathv/test",
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- license="CC-BY-NC-4.0",
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- )
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-
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- def _split_generators(self, dl_manager):
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- if self.config.name == "Kenya":
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- train_csv = "Kenya/train_filtered.csv"
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- test_csv = "Kenya/test_filtered.csv"
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- val_csv = "Kenya/valid_filtered.csv"
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- return [
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- datasets.SplitGenerator(name="train", gen_kwargs={"filepath": train_csv}),
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- datasets.SplitGenerator(name="val", gen_kwargs={"filepath": test_csv}),
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- datasets.SplitGenerator(name="test", gen_kwargs={"filepath": val_csv}),
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- ]
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- elif self.config.name == "South_Africa":
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- train_csv = "South_Africa/train_filtered.csv"
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- test_csv = "South_Africa/test_filtered.csv"
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- val_csv = "South_Africa/valid_filtered.csv"
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- return [
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- datasets.SplitGenerator(name="train", gen_kwargs={"filepath": train_csv}),
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- datasets.SplitGenerator(name="val", gen_kwargs={"filepath": test_csv}),
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- datasets.SplitGenerator(name="test", gen_kwargs={"filepath": val_csv}),
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- ]
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- elif self.config.name == "USA_Winter":
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- train_csv = "USA_Winter/train_filtered.csv"
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- test_csv = "USA_Winter/test_filtered.csv"
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- val_csv = "USA_Winter/valid_filtered.csv"
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- return [
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- datasets.SplitGenerator(name="train", gen_kwargs={"filepath": train_csv}),
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- datasets.SplitGenerator(name="val", gen_kwargs={"filepath": test_csv}),
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- datasets.SplitGenerator(name="test", gen_kwargs={"filepath": val_csv}),
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- ]
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- elif self.config.name == "USA_Summer":
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- train_csv = "USA_Summer/train_filtered.csv"
215
- test_csv = "USA_Summer/test_filtered.csv"
216
- val_csv = "USA_Summer/valid_filtered.csv"
217
- return [
218
- datasets.SplitGenerator(name="train", gen_kwargs={"filepath": train_csv}),
219
- datasets.SplitGenerator(name="val", gen_kwargs={"filepath": test_csv}),
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- datasets.SplitGenerator(name="test", gen_kwargs={"filepath": val_csv}),
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- ]
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- elif self.config.name == "Species_ID":
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- kenya_csv = "Species_ID/species_list_kenya.csv"
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- southafrica_csv = "Species_ID/species_list_south_africa.csv"
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- usa_csv = "Species_ID/species_list_usa.csv"
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- return [
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- datasets.SplitGenerator(name="Kenya", gen_kwargs={"filepath": kenya_csv}),
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- datasets.SplitGenerator(name="South_Africa", gen_kwargs={"filepath": southafrica_csv}),
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- datasets.SplitGenerator(name="USA", gen_kwargs={"filepath": usa_csv}),
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- ]
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- else:
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- raise ValueError(f"Unknown config: {self.config.name}")
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-
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- def _generate_examples(self, filepath):
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- if self.config.name in ["Kenya", "South_Africa", "USA_Summer", "USA_Winter"]:
236
- df_metadata = pd.read_csv(filepath)
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- for idx in range(len(df_metadata)):
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- row = df_metadata.iloc[idx]
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- yield idx, {
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- "hotspot_id": row['hotspot_id'],
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- "lon": row['lon'],
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- "lat": row['lat'],
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- 'sat_imagery_path': f"images/{row['hotspot_id']}.tif",
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- 'environmental_path': f"environmental/{row['hotspot_id']}.npy",
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- "target_path": f"targets/{row['hotspot_id']}.json",
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- "bio_1": row['bio_1'],
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- "bio_2": row['bio_2'],
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- "bio_3": row['bio_3'],
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- "bio_4": row['bio_4'],
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- "bio_5": row['bio_5'],
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- "bio_6": row['bio_6'],
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- "bio_7": row['bio_7'],
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- "bio_8": row['bio_8'],
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- "bio_9": row['bio_9'],
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- "bio_10": row['bio_10'],
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- "bio_11": row['bio_11'],
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- "bio_12": row['bio_12'],
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- "bio_13": row['bio_13'],
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- "bio_14": row['bio_14'],
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- "bio_15": row['bio_15'],
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- "bio_16": row['bio_16'],
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- "bio_17": row['bio_17'],
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- "bio_18": row['bio_18'],
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- "bio_19": row['bio_19'],
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- "num_complete_checklists" : row['num_complete_checklists'],
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- "split": row['split'],
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- }
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- if self.config.name == "Species_ID":
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- df_metadata = pd.read_csv(filepath)
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- for idx in range(len(df_metadata)):
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- row = df_metadata.iloc[idx]
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- yield idx, {
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- "scientific_name": row['scientific_name'],
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- "ebird_code": row['ebird_code'],
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- "inat_preview": row['inat_preview'],
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- }