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/ReadingTimeMachine/historical_dla@70e421a2b767dafcb683eeedc3401baa51b15c32/paper1_boxes.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['pdf link', 'true boxes', 'page number', 'split']. 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/ReadingTimeMachine/historical_dla@70e421a2b767dafcb683eeedc3401baa51b15c32/paper1_boxes.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['pdf link', 'true boxes', 'page number', 'split']. 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.
Dataset Introduction
This dataset has bounding boxes for ~6000 hand annotated pages with bounding boxes for figures, figure captions, tables, and math formulas.
More coverage is available for figures + captions (some pages might not have all tables and math formulas annotated).
Format is JSON and includes lists (so it looks like HuggingFace doesn't necessarily like this format for display), with rows that look like:
How to use this data
To plot an example check out the trial_example_from_data.ipynb notebook.
This assumes you have the data and the data_utils.py file in the same location as your notebook.
The following packages will have to be installed:
matplotlib
numpy
pandas
wand
PIL
wget
cv2 # OpenCV
On Google Colab, to install wand we found we had to do the following (this is not in the linked notebook):
!apt install imagemagick
!apt-get install libmagickwand-dev
!pip install Wand
!rm /etc/ImageMagick-6/policy.xml
!pip install wget
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