feat: Added dataset info files

dataset_infos.json

@@ -0,0 +1,60 @@
+{
+  "default": {
+    "description": "OpenFire is an image classification dataset for wildfire detection, collected\n from web searches.",
+    "citation": "@software{Pyronear_PyroVision_2019,\ntitle={Pyrovision: wildfire early detection},\nauthor={Pyronear contributors},\nyear={2019},\nmonth={October},\npublisher = {GitHub},\nhowpublished = {\\url{https://github.com/pyronear/pyro-vision}}\n}\n",
+    "homepage": "https://pyronear.org/pyro-vision/datasets.html#openfire",
+    "license": "Apache License 2.0",
+    "features": {
+      "image_url": {
+        "dtype": "string",
+	    "id": null,
+	    "_type": "Value"
+      },
+      "is_wildfire": {
+        "dtype": "bool",
+	    "id": null,
+	    "_type": "Value"
+      },
+    },
+    "post_processed": null,
+    "supervised_keys": null,
+    "task_templates": null,
+    "builder_name": "openfire",
+    "config_name": "default",
+    "version": {
+      "version_str": "1.0.0",
+      "description": null,
+      "major": 1,
+      "minor": 0,
+      "patch": 0
+    },
+    "splits": {
+      "train": {
+        "name": "train",
+        "num_bytes": 792971,
+        "num_examples": 7143,
+        "dataset_name": "openfire"
+      },
+      "validation": {
+        "name": "validation",
+        "num_bytes": 88419,
+        "num_examples": 792,
+        "dataset_name": "openfire"
+      }
+    },
+    "download_checksums": {
+      "https://huggingface.co/datasets/pyronear/openfire/resolve/main/data/openfire_train.json": {
+        "num_bytes": 792971,
+        "checksum": "d912c0b4c4fb89f482c1ad8e4b47c79202efbeedc832a29f779944afd17118be"
+      },
+      "https://huggingface.co/datasets/pyronear/openfire/resolve/main/data/openfire_val.json": {
+        "num_bytes": 88419,
+        "checksum": "31235919c7ed278731f6511eae42c7d27756a88e86a9b32d7b1ff105dc31097d"
+      },
+    },
+    "download_size": 821390,
+    "post_processing_size": null,
+    "dataset_size": 821390,
+    "size_in_bytes": 821390
+  }
+}

openfire.py

@@ -0,0 +1,85 @@
+# Copyright (C) 2022, Pyronear.
+
+# This program is licensed under the Apache License 2.0.
+# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0> for full license details.
+
+"""OpenFire dataset."""
+
+import os
+import json
+
+import datasets
+
+
+_HOMEPAGE = "https://pyronear.org/pyro-vision/datasets.html#openfire"
+
+_LICENSE = "Apache License 2.0"
+
+_CITATION = """\
+@software{Pyronear_PyroVision_2019,
+    title={Pyrovision: wildfire early detection},
+    author={Pyronear contributors},
+    year={2019},
+    month={October},
+    publisher = {GitHub},
+    howpublished = {\url{https://github.com/pyronear/pyro-vision}}
+}
+"""
+
+_DESCRIPTION = """\
+OpenFire is an image classification dataset for wildfire detection, collected
+from web searches.
+"""
+
+
+_REPO = "https://huggingface.co/datasets/pyronear/openfire/resolve/main/data"
+_URLS = {
+    "train": f"{_REPO}/openfire_train.json",
+    "validation": f"{_REPO}/openfire_val.json",
+}
+
+
+class OpenFire(datasets.GeneratorBasedBuilder):
+    """OpenFire dataset."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "image_url": datasets.Value("string", id=None),
+                    "is_wildfire": datasets.Value("bool"),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        data_dir = dl_manager.download_and_extract(_URLS)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "annot_file": data_dir["train"],
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "annot_file": data_dir["validation"],
+                },
+            ),
+        ]
+
+    def _generate_examples(self, annot_file):
+        with open(annot_file, "rb") as f:
+            urls = json.load(f)
+        for label in range(2):
+            for url in urls[str(label)]:
+                yield idx, {"image_url": url, "is_wildfire": bool(label)}
+                idx += 1