The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ValueError
Message: Not able to read records in the JSON file at hf://datasets/LinaAlhuri/Arabic-COCO2014-Validation@a5d5fa7ae6db9b1ad6ca576da36aa79c7e467029/cocoevaluationval2014.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['images', 'annotations']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 240, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2216, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1239, in _head
return _examples_to_batch(list(self.take(n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__
yield from islice(self.ex_iterable, self.n)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
for key, pa_table in self.generate_tables_fn(**self.kwargs):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 170, in _generate_tables
raise ValueError(
ValueError: Not able to read records in the JSON file at hf://datasets/LinaAlhuri/Arabic-COCO2014-Validation@a5d5fa7ae6db9b1ad6ca576da36aa79c7e467029/cocoevaluationval2014.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['images', 'annotations']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Arabic Translated COCO Validation Dataset
Overview
Welcome to the Arabic Translated COCO Validation Dataset! This dataset is a version of the Common Objects in Context (COCO) dataset, specifically translated into Arabic. The COCO dataset is a widely used benchmark for image captioning and object detection tasks, and this translation aims to facilitate research and development in the Arabic language.
Contents
coco_url: This column includes images URL which makes a subset of the COCO validation images.
arabic_caption: Arabic translations of the original COCO annotations, providing detailed information about image captions.
Usage
Research and Development: Use this dataset for training and evaluating models in the domain of image captioning and object detection with a focus on the Arabic language.
Benchmarking: Evaluate the performance of your algorithms on this translated COCO dataset to contribute to the advancement of Arabic-language computer vision research.
Dataset Translation and Bias
This dataset has been translated using the Google Translation API. It's important to note that automated translation methods, including machine translation, may introduce biases and inaccuracies. The translations are generated algorithmically and might not capture the full context or cultural nuances or might contain gender bias, leading to potential biases in the dataset. Researchers and users are advised to be mindful of these limitations and consider the implications of bias in their analyses.
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