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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 5
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 17764)
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 5
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}
\renewcommand{\baselinestretch}{1.3}
\small \normalsize
A number of investigations (see e.g.~$^{1,2)}$) of the nuclear
properties of neutron rich nuclei close to and at the magic neutron
number $N=28$ has been motivated by the fact that these isotopes may
play a crucial role in explaining the... | {
"timestamp": "2015-04-20T02:05:03",
"yymm": "1504",
"arxiv_id": "1504.04456",
"language": "en",
"url": "https://arxiv.org/abs/1504.04456"
} |
\section{Introduction}
Let $ {\mathcal H} $ be a Krein space with fundamental symmetry $J$. A pseudo-regular subspace of $ {\mathcal H} $ is a subspace $ {\mathcal S} $ such that $ {\mathcal S} =\mathcal{M}[\dot{+}] {\mathcal S} ^{\circ}$, where $\mathcal{M}$ is a regular subspace of $ {\mathcal H} $ and $ {\mathcal... | {
"timestamp": "2015-04-17T02:10:09",
"yymm": "1504",
"arxiv_id": "1504.04253",
"language": "en",
"url": "https://arxiv.org/abs/1504.04253"
} |
\section{Introduction}
\subsection{Statement of the problem}
We consider $\Omega \subset {\Bbb R}^n$, $n\geq2$, a $\mathcal C^{1,1}$ bounded and connected domain such that ${\mathbb R}^n\setminus\Omega$ is also connected. We set $\Gamma=\partial\Omega$. Let $A\in W^{1,\infty}(\Omega, {\mathbb R}^n)$, $V\in L^\inft... | {
"timestamp": "2016-10-14T02:04:26",
"yymm": "1504",
"arxiv_id": "1504.04514",
"language": "en",
"url": "https://arxiv.org/abs/1504.04514"
} |
"\\section{Introduction}\n\nConsider the following ordinary differential equation (abbreviated as OD(...TRUNCATED) | {"timestamp":"2015-05-06T02:03:53","yymm":"1504","arxiv_id":"1504.04450","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\n\n\\medskip\nWe do not need to emphasize that norms and metrics induced by(...TRUNCATED) | {"timestamp":"2015-04-17T02:07:42","yymm":"1504","arxiv_id":"1504.04149","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\r\nIn the last years, the field of non-additive measures was intensively st(...TRUNCATED) | {"timestamp":"2015-10-14T02:07:08","yymm":"1504","arxiv_id":"1504.04110","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\nLet $(X,d_X)$ and $(Y,d_Y)$ be two metric spaces. $B_X(x,r)$ denotes the c(...TRUNCATED) | {"timestamp":"2015-04-17T02:10:06","yymm":"1504","arxiv_id":"1504.04250","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction and main results}\n\nThe directed polymer in random environment is a statist(...TRUNCATED) | {"timestamp":"2015-08-12T02:04:27","yymm":"1504","arxiv_id":"1504.04505","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\n\\label{sec:intro}\n\n\nIn this paper, we develop an online local adaptivi(...TRUNCATED) | {"timestamp":"2015-04-20T02:03:34","yymm":"1504","arxiv_id":"1504.04417","language":"en","url":"http(...TRUNCATED) |
"\\section{Definitions and preliminaries}\n\nAn \\emph{$n$-dimensional dual arc} $\\mathcal D$ in a (...TRUNCATED) | {"timestamp":"2015-04-17T02:08:10","yymm":"1504","arxiv_id":"1504.04170","language":"en","url":"http(...TRUNCATED) |
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