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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 45887)
              
              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 dataset

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text string	meta dict
\section{Introduction} Package \pkg{lme4} \citep{lme4} is widely used to estimate a variety of generalized linear mixed models. Despite its popularity, the package does not provide certain results related to derivatives of the likelihood, which makes it difficult to obtain robust standard errors and other statistical ...	{ "timestamp": "2017-11-06T02:01:48", "yymm": "1612", "arxiv_id": "1612.04911", "language": "en", "url": "https://arxiv.org/abs/1612.04911" }
\section{Introduction} \label{sec:IntroSec} The effects of galaxy cluster mergers on star formation (SF) have begun to be better understood in recent years, adding depth to the relationships found in relaxed clusters between SF and clustercentric distance and local density (e.g., \citealt{Dressler1980}; \citealt{Cohen...	{ "timestamp": "2016-12-16T02:00:10", "yymm": "1612", "arxiv_id": "1612.04813", "language": "en", "url": "https://arxiv.org/abs/1612.04813" }
\section{Introduction} A central topic in modern probability and statistical physics is the study of {\em random walks in random media}. Among the most important classes of such models is the so-called random walk in i.i.d.~random environment on $\Z^d$. While these models have been studied for decades (see e.g.~\cite...	{ "timestamp": "2016-12-15T02:08:24", "yymm": "1612", "arxiv_id": "1612.04761", "language": "en", "url": "https://arxiv.org/abs/1612.04761" }
\section{Introduction and main results} Let $ K \subset \mathds{R}^d $ be a full dimensional convex body, i.e. a compact convex set with non-empty interior. Fix $n \in \mathds{N}$ and denote by $ P = P_{K,n} \supset K$ a circumscribed polytope, with at most $n$ facets, minimizing the Hausdorff distance $ d_H (K,P) $....	{ "timestamp": "2016-12-15T02:07:16", "yymm": "1612", "arxiv_id": "1612.04706", "language": "en", "url": "https://arxiv.org/abs/1612.04706" }
"\\section{Introduction}\n\tIt is well known that the computational speed of human brain is several (...TRUNCATED)	{"timestamp":"2016-12-15T02:06:09","yymm":"1612","arxiv_id":"1612.04659","language":"en","url":"http(...TRUNCATED)
"\\section{Introduction}\r\n\r\nThe problem of filter sensitivities evaluation plays a key role in m(...TRUNCATED)	{"timestamp":"2017-04-07T02:07:41","yymm":"1612","arxiv_id":"1612.04777","language":"en","url":"http(...TRUNCATED)
"\\section{Introduction}\r\n\r\nA scanning tunneling microscope (STM) demonstrates remarkable latera(...TRUNCATED)	{"timestamp":"2016-12-15T02:05:03","yymm":"1612","arxiv_id":"1612.04622","language":"en","url":"http(...TRUNCATED)
"\\section{Introduction}\\label{sec:intro}\n\nConnectivity augmentation is a classical problem in co(...TRUNCATED)	{"timestamp":"2016-12-15T02:08:52","yymm":"1612","arxiv_id":"1612.04780","language":"en","url":"http(...TRUNCATED)
"\\section{Introduction}\r\n\r\nFollowing the influential work by \\cite{hamilton89}, dynamic models(...TRUNCATED)	{"timestamp":"2018-05-11T02:03:50","yymm":"1612","arxiv_id":"1612.04932","language":"en","url":"http(...TRUNCATED)
"\\section{Introduction}\n\\seclab{intro}\n\nKey requirements for the successful implementation of p(...TRUNCATED)	{"timestamp":"2017-04-06T02:00:21","yymm":"1612","arxiv_id":"1612.04803","language":"en","url":"http(...TRUNCATED)

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