Update mortars_test.py

mortars_test.py

@@ -1,19 +1,3 @@
-# coding=utf-8
-# Copyright 2021 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# 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.
-"""Beans leaf dataset with images of diseased and health leaves."""
-
 import os
 
 import datasets
@@ -25,24 +9,22 @@ _HOMEPAGE = ""
 _CITATION = ""
 
 _DESCRIPTION = """\
-Beans is a dataset of images of beans taken in the field using smartphone
-cameras. It consists of 3 classes: 2 disease classes and the healthy class.
-Diseases depicted include Angular Leaf Spot and Bean Rust. Data was annotated
-by experts from the National Crops Resources Research Institute (NaCRRI) in
-Uganda and collected by the Makerere AI research lab.
+This is a dataset of particle samples to be classified for the ancient mortars project.
 """
 
 _URLS = {
-    "train": "https://huggingface.co/datasets/apetulante/mortars_test/resolve/main/train.zip",
-    "validation": "https://huggingface.co/datasets/apetulante/mortars_test/resolve/main/valid.zip",
-    "test": "https://huggingface.co/datasets/apetulante/mortars_test/resolve/main/test.zip",
+    "train": "https://huggingface.co/datasets/apetulante/mortars_test/resolve/main/data/train.zip",
+    "validation": "https://huggingface.co/datasets/apetulante/mortars_test/resolve/main/data/valid.zip",
+    "test": "https://huggingface.co/datasets/apetulante/mortars_test/resolve/main/data/test.zip",
 }
 
-_NAMES = ["obsidian", "chert", "sand"]
+names_file = "https://huggingface.co/datasets/apetulante/mortars_test/resolve/main/data/particle_names.txt"
+names_list =  open("file1.txt", "r").read().split("\n")
+_NAMES = names_list
 
 
-class Mortars(datasets.GeneratorBasedBuilder):
-    """Beans plant leaf images dataset."""
+class MortarsTest(datasets.GeneratorBasedBuilder):
+    """Ancient particles dataset."""
 
     def _info(self):
         return datasets.DatasetInfo(
@@ -90,5 +72,5 @@ class Mortars(datasets.GeneratorBasedBuilder):
                 yield i, {
                     "image_file_path": path,
                     "image": path,
-                    "labels": os.path.basename(os.path.dirname(path)).lower(),
+                    "labels": os.path.basename(os.path.dirname(path)).lower().split('_')[0],
                 }