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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 18
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 8037)
              
              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 18
              
              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 dataset

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text string	meta dict
\subsection{Density of localised states} Let $i_{0}$ denote a generic end site of the semi-infinite chain considered (denoted simply by $0$ in the main text). Recall first that $\Delta_{i_{0}}(\omega)=\pi J^{2}D_{i_{0}+1}(\omega)$, with $D_{i_{0}+1}(\omega)$ $=-\mathrm{Im}G_{i_{0}+1}^{(i_{0})}(\omega)$ the LDoS for ...	{ "timestamp": "2020-12-04T02:00:42", "yymm": "2012", "arxiv_id": "2012.01450", "language": "en", "url": "https://arxiv.org/abs/2012.01450" }
\section{INTRODUCTION} Distributed Constrained Optimization Problems (DCOPs) are a popular framework to coordinate interactions in cooperative multi-agent systems. A number of real world problems such as distributed event scheduling \cite{maheswaran2004taking} and the distributed RLFA problem\cite{cabon1999radio} can...	{ "timestamp": "2020-12-03T02:29:23", "yymm": "2012", "arxiv_id": "2012.01369", "language": "en", "url": "https://arxiv.org/abs/2012.01369" }
\section{Introduction} \label{sec:intro} A challenge of modern galaxy evolution is to understand the formation of massive and quiescent galaxies. Stellar archaeology indicates that massive galaxies (log$_{10}$\ensuremath{M_{\rm{*}}}\xspace/\ensuremath{\rm{M}_\odot}\xspace$>$11) form their stars in a rapid burst in the...	{ "timestamp": "2020-12-04T02:00:22", "yymm": "2012", "arxiv_id": "2012.01433", "language": "en", "url": "https://arxiv.org/abs/2012.01433" }
\section{Introduction} \subfile{sections/introduction} \section{Methods} \subfile{sections/methods} \section{Results and Discussion} \label{sec:results} \subfile{sections/results} \begin{acknowledgement} This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Lab...	{ "timestamp": "2021-04-26T02:05:53", "yymm": "2012", "arxiv_id": "2012.01478", "language": "en", "url": "https://arxiv.org/abs/2012.01478" }
\section{Introduction} Runtime, and it's theoretical subset, time complexity, are imperative to understanding the speed and continual efficiency of all algorithms\cite{Nasar}\cite{Aho}. Particularly because runtime information allows for thorough comparisons between the performance of competing approaches. Due to the v...	{ "timestamp": "2020-12-04T02:00:12", "yymm": "2012", "arxiv_id": "2012.01420", "language": "en", "url": "https://arxiv.org/abs/2012.01420" }
"\\section{\\label{intro}Introduction}\n\nAlthough comparatively few in number, massive stars play a(...TRUNCATED)	{"timestamp":"2020-12-04T02:01:13","yymm":"2012","arxiv_id":"2012.01464","language":"en","url":"http(...TRUNCATED)
"\\section{Introduction}\\label{Section:Intro}\n\nWind energy is the forerunner among the renewable (...TRUNCATED)	{"timestamp":"2022-04-05T02:34:13","yymm":"2012","arxiv_id":"2012.01349","language":"en","url":"http(...TRUNCATED)
"\\section{Applications of DML to Wireless Networks}\\label{sec.use}\n\n\\begin{table*}[t]\n\\renewc(...TRUNCATED)	{"timestamp":"2020-12-04T02:02:16","yymm":"2012","arxiv_id":"2012.01489","language":"en","url":"http(...TRUNCATED)
"\n\\section{Introduction} \\label{sec:intro}\n\nDetailed chemical evolution patterns from long-gone(...TRUNCATED)	{"timestamp":"2021-01-22T02:22:55","yymm":"2012","arxiv_id":"2012.01430","language":"en","url":"http(...TRUNCATED)
"\\section{Introduction}\n\nPredicting the evolution of a turbulent flow such as the ocean motion re(...TRUNCATED)	{"timestamp":"2020-12-03T02:30:02","yymm":"2012","arxiv_id":"2012.01385","language":"en","url":"http(...TRUNCATED)

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