The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowInvalid
Message: JSON parse error: Invalid value. in row 0
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 174, in _generate_tables
df = pandas_read_json(f)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 791, in read_json
json_reader = JsonReader(
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 905, in __init__
self.data = self._preprocess_data(data)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 917, in _preprocess_data
data = data.read()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 813, in read_with_retries
out = read(*args, **kwargs)
File "/usr/local/lib/python3.9/codecs.py", line 322, in decode
(result, consumed) = self._buffer_decode(data, self.errors, final)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x89 in position 0: invalid start byte
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, 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 3422, 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 2187, in _head
return next(iter(self.iter(batch_size=n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
for key, example in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
for key, pa_table in self._iter_arrow():
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 499, in _iter_arrow
for key, pa_table in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 346, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 177, in _generate_tables
raise e
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 151, in _generate_tables
pa_table = paj.read_json(
File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
RealSlide: Benchmark for Lecture Slide Analysis
This repository contains the RealSlide benchmark dataset, a collection of real lecture slides curated to evaluate models for slide element detection and text query-based slide retrieval. The dataset complements the synthetic dataset generated by the SynLecSlideGen pipeline, as presented in the paper AI-Generated Lecture Slides for Improving Slide Element Detection and Retrieval. It is designed to test the generalization of models trained on synthetic data to real-world lecture slides.
- Project page: https://synslidegen.github.io/
How to Download:
Using Git via terminal
git lfs install
git clone https://huggingface.co/datasets/nerdyvisky/realslide
Using Python
pip install huggingface_hub
python
from huggingface_hub import snapshot_download
repo_id = "nerdyvisky/realslide" # your full repo path
local_dir = snapshot_download(repo_id=repo_id, repo_type="dataset")
Overview of RealSlide Benchmark
The RealSlide benchmark consists of 1050 real-world lecture slides collected from Creative-Commons licensed graduate lecture slide decks. Full list here Each slide is manually annotated by human-annotators with Slide Object Detection in COCO Format and Text-based slide summary to aid benchmarking VLMs for Slide Image related tasks.
Dataset Components
The dataset includes samples for two main tasks, each with manually verified annotations:
Usage
This dataset can be used for evaluating models trained on synthetic datasets or for fine-tuning models for lecture slide element detection and retrieval. The data is provided with manually verified annotations, making it suitable for benchmarking and performance evaluation.
Citation
If you use this dataset in your research, please cite the corresponding paper:
@article{maniyar2025ai,
title={AI-Generated Lecture Slides for Improving Slide Element Detection and Retrieval},
author={Maniyar, Suyash and Trivedi, Vishvesh and Mondal, Ajoy and Mishra, Anand and Jawahar, CV},
journal={arXiv preprint arXiv:2506.23605},
year={2025}
}
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