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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: JSON parse error: Missing a closing quotation mark in string. in row 3
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 145, in _generate_tables
dataset = json.load(f)
File "/usr/local/lib/python3.9/json/__init__.py", line 293, in load
return loads(fp.read(),
File "/usr/local/lib/python3.9/json/__init__.py", line 346, in loads
return _default_decoder.decode(s)
File "/usr/local/lib/python3.9/json/decoder.py", line 340, in decode
raise JSONDecodeError("Extra data", s, end)
json.decoder.JSONDecodeError: Extra data: line 2 column 1 (char 35255)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1995, in _prepare_split_single
for _, table in generator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 148, in _generate_tables
raise e
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 122, 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: Missing a closing quotation mark in string. in row 3
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1529, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1154, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
text string | meta dict |
|---|---|
\section{Introduction}
\begin{figure}[t]
\vskip 0.01in
\begin{center}
\centerline{\includegraphics[width=0.9\columnwidth]{cover.pdf}}
\caption{Visualization of SR result on NTIRE2020 validation image. The red one is our proposed dSRVAE approach.}
\label{Figure 1}
\end{center}
\vskip -0.3in
\end{figure}
Exampl... | {
"timestamp": "2020-04-28T02:29:52",
"yymm": "2004",
"arxiv_id": "2004.12811",
"language": "en",
"url": "https://arxiv.org/abs/2004.12811"
} |
\section{Introduction \label{sec:Intro}}
There is a growing interest in experimentally verifying the predictions of
quantum electrodynamics (QED) in the strong field, high-intensity, regime. To
access this regime in experiment, two requirements must be met: (i) an
electromagnetic field is present which is sufficiently... | {
"timestamp": "2020-12-17T02:14:46",
"yymm": "2004",
"arxiv_id": "2004.13035",
"language": "en",
"url": "https://arxiv.org/abs/2004.13035"
} |
\section{Simulated Results}
\label{app:sim}
In each simulation, we constructed an environment with two tasks.
For each, we sample 750 times from the first task, followed by 750 times from the second task.
These 1,500 samples comprise the training data.
We sample another 1,000 hold out samples to evaluate the alg... | {
"timestamp": "2021-03-04T02:29:55",
"yymm": "2004",
"arxiv_id": "2004.12908",
"language": "en",
"url": "https://arxiv.org/abs/2004.12908"
} |
"\\section{Introduction}\nAs humans we learn to combine vision and language early in life, building (...TRUNCATED) | {"timestamp":"2020-07-14T02:27:58","yymm":"2004","arxiv_id":"2004.13073","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\n\\label{sec:Introduction}\n\n\nSince early in this century, a large number(...TRUNCATED) | {"timestamp":"2020-04-28T02:30:39","yymm":"2004","arxiv_id":"2004.12841","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\n\nIn recent years, deep learning with Convolutional Neural Networks (CNNs)(...TRUNCATED) | {"timestamp":"2020-10-08T02:12:48","yymm":"2004","arxiv_id":"2004.13075","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\nThe Iitaka dimension for a holomorphic line bundle $L$ over a compact comp(...TRUNCATED) | {"timestamp":"2020-04-28T02:30:10","yymm":"2004","arxiv_id":"2004.12825","language":"en","url":"http(...TRUNCATED) |
"\\subsection{Dimensions and Dynkin labels for few representations of $SU(N)$}\\label{appendix:grip-(...TRUNCATED) | {"timestamp":"2020-04-28T02:30:15","yymm":"2004","arxiv_id":"2004.12830","language":"en","url":"http(...TRUNCATED) |
"\\section*{ReLU Defense}\n\n\\section{Introduction}\nThe lockdown has not been too bad! After all, (...TRUNCATED) | {"timestamp":"2020-06-04T02:07:02","yymm":"2004","arxiv_id":"2004.13013","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\r\n\\label{sec:intr}\r\n\r\nIn this paper, we proceed with the analysis sta(...TRUNCATED) | {"timestamp":"2020-04-28T02:33:44","yymm":"2004","arxiv_id":"2004.12945","language":"en","url":"http(...TRUNCATED) |
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