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import os |
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import pandas as pd |
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import datasets |
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import json |
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class Dataset(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.1.0") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name="TEST", version=VERSION, description="test"), |
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] |
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def _info(self): |
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return datasets.DatasetInfo( |
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features=datasets.Features( |
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{ |
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"split": datasets.Value("string"), |
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} |
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), |
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task_templates=[], |
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) |
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def _split_generators(self, dl_manager): |
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"""Returns SplitGenerators.""" |
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hf_auth_token = dl_manager.download_config.use_auth_token |
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if hf_auth_token is None: |
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raise ConnectionError( |
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"Please set use_auth_token=True or use_auth_token='<TOKEN>' to download this dataset" |
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) |
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repo_id = 'yonatanbitton/mscoco_2014_5k_test_image_text_retrieval' |
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data_dir = dl_manager.download_and_extract({ |
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"examples_csv": hf_hub_url(repo_id=repo_id, repo_type='dataset', filename="test_1k_flickr.csv"), |
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"images_dir": hf_hub_url(repo_id=repo_id, repo_type='dataset', filename="images_flickr_1k_test.zip") |
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}) |
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return [datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs=data_dir)] |
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def _generate_examples(self, examples_csv): |
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"""Yields examples.""" |
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df = pd.read_csv(examples) |
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print("HERE!?") |
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raise Exception("E") |
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for r_idx, r in df.iterrows(): |
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r_dict = r.to_dict() |
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yield r_idx, r_dict |