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README.md

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----
-annotations_creators:
-- human-curator
-language:
-- en
-license:
-- mit
-pretty_name: RockGlacier
-size_categories:
-- 1K<n<10K
-source_datasets:
-- original
-task_categories:
-- image-classification
-task_ids:
-- multi-class-image-classification
----
-# Dataset Card for Rock Glacier Detection
-## Table of Contents
-- [Table of Contents](#table-of-contents)
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-## Dataset Description
-- **Homepage:** [RockGlacier Homepage](https://github.com/alcazar90/rock-glacier-detection)
-- **Repository:** [alcazar90/rock-glacier-detection](https://github.com/alcazar90/rock-glacier-detection)
-- **Paper:** N/A
-- **Leaderboard:** N/A
-- **Point of Contact:** N/A
-### Dataset Summary
-Rock Glacier Detection dataset with satelital images of rock glaciers in the Chilean Andes. 
-### Supported Tasks and Leaderboards
-- `image-classification`: Based on a satelitel images (from sentinel2), the goal of this task is to predict a rock glacier in the geographic area, if there any.
-### Languages
-English
-## Dataset Structure
-### Data Instances
-A sample from the training set is provided below:
-```
-{
-  'image': <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=128x128 at 0x7FE652BE2FD0>,
-  'labels': 0
-}
-```
-### Data Fields
-
-The data instances have the following fields:
-
-- `image`: A `PIL.Image.Image` object containing the image. Note that when accessing the image column: `dataset[0]["image"]` the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the `"image"` column, *i.e.* `dataset[0]["image"]` should **always** be preferred over `dataset["image"][0]`.
-- `labels`: an `int` classification label.
-
-Class Label Mappings:
-
-```json
-{
-  "glaciar": 0,
-  "cordillera": 1
-}
-```
-
-### Data Splits
-
- 
-|             |train|validation|test|
-|-------------|----:|---------:|---:|
-|# of examples|1456 |364       |NA  |
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed]
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-[More Information Needed]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed]
-
-### Licensing Information
-
-[More Information Needed]
-
-### Citation Information
-
-```
-@ONLINE {rock-glacier-dataset,
-    author="CMM - Glaciares (UChile)",
-    title="Rock Glacier Dataset",
-    month="October",
-    year="2022",
-    url="https://github.com/alcazar90/rock-glacier-detection"
-}
-```
-
-### Contributions
-
-Thanks to... 

data/validation.zip → image-classification/rock-glacier-dataset-train.parquet

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data/glaciar_masks_trainset.zip → image-segmentation/rock-glacier-dataset-train.parquet

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rock-glacier-dataset.py

@@ -1,156 +0,0 @@
-# Copyright 2022 Cristóbal Alcázar
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""Rock Glacier dataset with images of the chilean andes."""
-
-import os
-import re
-
-import datasets
-from datasets.tasks import ImageClassification
-
-datasets.logging.set_verbosity_info()
-logger = datasets.logging.get_logger(__name__)
-
-
-_HOMEPAGE = "https://github.com/alcazar90/rock-glacier-detection"
-
-
-_CITATION = """\
-@ONLINE {rock-glacier-dataset,
-    author="CMM-Glaciares",
-    title="Rock Glacier Dataset",
-    month="October",
-    year="2022",
-    url="https://github.com/alcazar90/rock-glacier-detection"
-}
-"""
-
-_DESCRIPTION = """\
-TODO: Add a description...
-"""
-
-
-_URLS = {
-	"train": "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/train.zip",
-	"validation": "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/validation.zip",
-	"train_mask": "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/glaciar_masks_trainset.zip",
-}
-
-_NAMES = ["glaciar", "cordillera"]
-
-
-class RockGlacierConfig(datasets.BuilderConfig):
-   def __init__(self, name, **kwargs):
-      super(RockGlacierConfig, self).__init__(
-         version=datasets.Version("1.0.0"),
-         name=name,
-         description="Rock Glacier Dataset",
-         **kwargs,
-         )
-         
-         
-class RockGlacierDataset(datasets.GeneratorBasedBuilder):
-   """Rock Glacier images dataset."""
-   
-   BUILDER_CONFIGS = [
-   		RockGlacierConfig("image-classification"),
-   		RockGlacierConfig("image-segmentation"),
-   ]
-
-   def _info(self):
-      if self.config.name == "image-classification":
-         features = datasets.Features({
-            "image": datasets.Image(),
-            "labels": datasets.features.ClassLabel(names=_NAMES),
-            })
-         keys = ("image", "labels")
-         
-      if self.config.name == "image-segmentation":
-         features = datasets.Features({
-            "image": datasets.Image(),
-            "labels": datasets.Image(),
-            })
-         keys = ("image", "labels")
-         
-         
-      return datasets.DatasetInfo(
-               description=_DESCRIPTION,
-               features=features,
-               supervised_keys=keys,
-               homepage=_HOMEPAGE,
-               citation=_CITATION,
-               )
-	
-
-   def _split_generators(self, dl_manager):
-       data_files = dl_manager.download_and_extract(_URLS)
-       
-       if self.config.name == "image-classification":
-          return [
-	          datasets.SplitGenerator(
-	          name=datasets.Split.TRAIN,
-	          gen_kwargs={
-		          "files": dl_manager.iter_files([data_files["train"]]),
-		          "split": "training",
-	          },
-	          ),
-	          datasets.SplitGenerator(
-	          name=datasets.Split.VALIDATION,
-	          gen_kwargs={
-		          "files": dl_manager.iter_files([data_files["validation"]]),
-		          "split": "validation",
-	          },
- 	         ),
-           ]
-           
-       if self.config.name == "image-segmentation":
-          train_data = dl_manager.iter_files([data_files["train"]]), dl_manager.iter_files([data_files["train_mask"]])
-          return [
-             datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                   "files": train_data,
-                   "split": "training",
-                },
-             )]
-                
-
-   def _generate_examples(self, files, split):
-   
-      if self.config.name == "image-classification":
-         for i, path in enumerate(files):
-            file_name = os.path.basename(path)
-            if file_name.endswith(".png"):
-               yield i, {
-                  "image": path,
-                  "labels": os.path.basename(os.path.dirname(path)).lower(),
-                  }
-      
-      if self.config.name == "image-segmentation":
-         if split == "training":
-            images, masks = files
-            imageId2mask = {}
-            # iterate trought masks
-            for mask_path in masks:
-               mask_id = re.search('\d+', mask_path).group(0)
-               imageId2mask[mask_id] = mask_path
-            logger.info(f"imageId2mask check paths: {imageId2mask}")     
-            for i, path in enumerate(files):
-               file_name = os.path.basename(path)
-               if file_name.endswith(".png"):
-                  yield i, {
-                     "image": path,
-                     "labels": imageId2mask[re.search('\d+', file_name).group(0)]
-                  }
-