Convert dataset to Parquet (#1)

- Convert dataset to Parquet (ae73e49d97c2a9b8b16f3fa30d1851eaabf489dc)
- Delete loading script (fb69f98652778941349d558683c7a12242dd79c6)
- Delete data file (a28ed59464a25b12eb512cd7a15b35bef7a4820b)
- Delete data file (0bcfd0529aaea1e54f44fef567fb0cfad532cd81)
- Delete data file (b444d5e34ab9fcd12a17b636bb5eaebfb489e317)

README.md

@@ -0,0 +1,19 @@
+---
+dataset_info:
+  features:
+  - name: image
+    dtype: image
+  - name: conditioning_image
+    dtype: image
+  splits:
+  - name: train
+    num_bytes: 8374077.0
+    num_examples: 33
+  download_size: 8006291
+  dataset_size: 8374077.0
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+---

conti2line.py

@@ -1,103 +0,0 @@
-import pandas as pd
-from huggingface_hub import hf_hub_url
-import datasets
-import os
-
-_VERSION = datasets.Version("0.0.6")
-
-_DESCRIPTION = "TODO"
-_HOMEPAGE = "TODO"
-_LICENSE = "TODO"
-_CITATION = "TODO"
-
-_FEATURES = datasets.Features(
-    {
-        "image": datasets.Image(),
-        "conditioning_image": datasets.Image(),
-    },
-)
-
-METADATA_URL = hf_hub_url(
-    "JUNPYO99/conti2line",
-    filename="train.jsonl",
-    repo_type="dataset",
-)
-
-IMAGES_URL = hf_hub_url(
-    "JUNPYO99/conti2line",
-    filename="images.zip",
-    repo_type="dataset",
-)
-
-CONDITIONING_IMAGES_URL = hf_hub_url(
-    "JUNPYO99/conti2line",
-    filename="conditioning_images.zip",
-    repo_type="dataset",
-)
-
-_DEFAULT_CONFIG = datasets.BuilderConfig(name="default", version=_VERSION)
-
-class Conti2drawing(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [_DEFAULT_CONFIG]
-    DEFAULT_CONFIG_NAME = "default"
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=_FEATURES,
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        metadata_path = dl_manager.download(METADATA_URL)
-        images_dir = dl_manager.download_and_extract(IMAGES_URL)
-        conditioning_images_dir = dl_manager.download_and_extract(
-            CONDITIONING_IMAGES_URL
-        )
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "metadata_path": metadata_path,
-                    "images_dir": images_dir,
-                    "conditioning_images_dir": conditioning_images_dir,
-                },
-            ),
-        ]
-
-    def _generate_examples(self, metadata_path, images_dir, conditioning_images_dir):
-        try:
-            metadata = pd.read_json(metadata_path, lines=True)
-        except ValueError as e:
-            print(f"Error reading JSON file at {metadata_path}: {e}")
-            raise e
-        except FileNotFoundError as e:
-            print(f"File not found at {metadata_path}: {e}")
-            raise e
-
-        for _, row in metadata.iterrows():
-            image_path = row["image"]
-            image_path = os.path.join(images_dir, image_path)
-            image = open(image_path, "rb").read()
-
-            conditioning_image_path = row["conditioning_image"]
-            conditioning_image_path = os.path.join(
-                conditioning_images_dir, row["conditioning_image"]
-            )
-            conditioning_image = open(conditioning_image_path, "rb").read()
-
-            yield row["image"], {
-                "image": {
-                    "path": image_path,
-                    "bytes": image,
-                },
-                "conditioning_image": {
-                    "path": conditioning_image_path,
-                    "bytes": conditioning_image,
-                },
-            }

conditioning_images.zip → data/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ab4ad2d49fc071ab6a7959d9b9e4f04d97b01c51f42d8873eae3cc3912283ba9
-size 4787220
+oid sha256:fd1308174d629903620f34ea1725de964ca9b947b9ee2f2682a50b5619181fd6
+size 8006291

images.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e0bf2451a589fed12aea8639b2934353ebd756c6ce7228ccdb9e9d3b35b82141
-size 2576645

train.jsonl

@@ -1,33 +0,0 @@
-{"image": "images/1.jpg", "conditioning_image": "conditioning_images/1.jpg"}
-{"image": "images/2.jpg", "conditioning_image": "conditioning_images/2.jpg"}
-{"image": "images/3.jpg", "conditioning_image": "conditioning_images/3.jpg"}
-{"image": "images/4.jpg", "conditioning_image": "conditioning_images/4.jpg"}
-{"image": "images/5.jpg", "conditioning_image": "conditioning_images/5.jpg"}
-{"image": "images/6.jpg", "conditioning_image": "conditioning_images/6.jpg"}
-{"image": "images/7.jpg", "conditioning_image": "conditioning_images/7.jpg"}
-{"image": "images/8.jpg", "conditioning_image": "conditioning_images/8.jpg"}
-{"image": "images/9.jpg", "conditioning_image": "conditioning_images/9.jpg"}
-{"image": "images/10.jpg", "conditioning_image": "conditioning_images/10.jpg"}
-{"image": "images/11.jpg", "conditioning_image": "conditioning_images/11.jpg"}
-{"image": "images/12.jpg", "conditioning_image": "conditioning_images/12.jpg"}
-{"image": "images/13.jpg", "conditioning_image": "conditioning_images/13.jpg"}
-{"image": "images/14.jpg", "conditioning_image": "conditioning_images/14.jpg"}
-{"image": "images/15.jpg", "conditioning_image": "conditioning_images/15.jpg"}
-{"image": "images/16.jpg", "conditioning_image": "conditioning_images/16.jpg"}
-{"image": "images/17.jpg", "conditioning_image": "conditioning_images/17.jpg"}
-{"image": "images/18.jpg", "conditioning_image": "conditioning_images/18.jpg"}
-{"image": "images/19.jpg", "conditioning_image": "conditioning_images/19.jpg"}
-{"image": "images/20.jpg", "conditioning_image": "conditioning_images/20.jpg"}
-{"image": "images/21.jpg", "conditioning_image": "conditioning_images/21.jpg"}
-{"image": "images/22.jpg", "conditioning_image": "conditioning_images/22.jpg"}
-{"image": "images/23.jpg", "conditioning_image": "conditioning_images/23.jpg"}
-{"image": "images/24.jpg", "conditioning_image": "conditioning_images/24.jpg"}
-{"image": "images/25.jpg", "conditioning_image": "conditioning_images/25.jpg"}
-{"image": "images/26.jpg", "conditioning_image": "conditioning_images/26.jpg"}
-{"image": "images/27.jpg", "conditioning_image": "conditioning_images/27.jpg"}
-{"image": "images/28.jpg", "conditioning_image": "conditioning_images/28.jpg"}
-{"image": "images/29.jpg", "conditioning_image": "conditioning_images/29.jpg"}
-{"image": "images/30.jpg", "conditioning_image": "conditioning_images/30.jpg"}
-{"image": "images/31.jpg", "conditioning_image": "conditioning_images/31.jpg"}
-{"image": "images/32.jpg", "conditioning_image": "conditioning_images/32.jpg"}
-{"image": "images/33.jpg", "conditioning_image": "conditioning_images/33.jpg"}