Delete docci.py

Clean up old files

docci.py

@@ -1,67 +0,0 @@
-# coding=utf-8
-# Copyright 2022 the HuggingFace Datasets Authors.
-#
-# 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.
-
-import os
-import pandas as pd 
-import datasets
-from huggingface_hub import hf_hub_url
-
-_INPUT_CSV = "docci.csv"  # Update the CSV file name
-_INPUT_IMAGES = "docci_images"    # Update the images directory name
-_REPO_ID = "yonatanbitton/docci"         # Update the repository ID
-_SUFFIX = 'jpg'
-
-class Dataset(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.1.0")
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="docci", version=VERSION, description="Docci dataset"),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            features=datasets.Features({
-                "image_key": datasets.Value("string"),
-                "description": datasets.Value('string'),
-                "image": datasets.Image(),
-            }),
-            supervised_keys=None,  # Update or remove if your dataset is supervised
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        # hf_auth_token = dl_manager.download_config.use_auth_token
-        # if hf_auth_token is None:
-        #     raise ConnectionError(
-        #         "Please set use_auth_token=True or use_auth_token='<TOKEN>' to download this dataset"
-        #     )
-
-        data_dir = dl_manager.download_and_extract({
-            "examples_csv": hf_hub_url(repo_id=_REPO_ID, repo_type='dataset', filename=_INPUT_CSV),
-            "images_dir": hf_hub_url(repo_id=_REPO_ID, repo_type='dataset', filename=f"{_INPUT_IMAGES}.zip")
-        })
-
-        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs=data_dir)]
-
-    def _generate_examples(self, examples_csv, images_dir):
-        """Yields examples."""
-        df = pd.read_csv(examples_csv)
-
-        for r_idx, r in df.iterrows():
-            image_path = os.path.join(images_dir, _INPUT_IMAGES, f"{r['image_key']}.{_SUFFIX}")  
-            yield r_idx, {
-                "image_key": r['image_key'],
-                "description": r['description'],
-                "image": image_path
-            }