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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 20
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 20098)
              
              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 20
              
              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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meta
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\subsection{Proposed Oscillator} From the analysis of conventional ring oscillators in section \ref{sec:conv} and simulations shown later in this section (Fig. \ref{fig:line_senstivity}), we know that current starved fully differential structure has both better PSRR and CMRR. To offer differential inputs, outputs...
{ "timestamp": "2020-11-03T02:35:16", "yymm": "2011", "arxiv_id": "2011.00743", "language": "en", "url": "https://arxiv.org/abs/2011.00743" }
\section{Introduction} Communication in the Millimeter-Wave (mmWave) band is the new frontier for next generation wireless systems \cite{mag}-\cite{I3}. To provide sufficient link budget for these system, large antenna arrays will be required to enable directional precoding \cite{I3}-\cite{Sarieddeen2019}. Thanks to th...
{ "timestamp": "2020-11-03T02:38:54", "yymm": "2011", "arxiv_id": "2011.00828", "language": "en", "url": "https://arxiv.org/abs/2011.00828" }
\section{Introduction} Large Hadron Collider \cite{lhc} is able to accelerate and collide various beams. The machine was successfully run in the proton-proton, proton-lead and lead-lead modes. The size and the evolution of the medium created in the heavy ion interactions depend on the collision geometry. In heavy ...
{ "timestamp": "2020-11-03T02:40:39", "yymm": "2011", "arxiv_id": "2011.00872", "language": "en", "url": "https://arxiv.org/abs/2011.00872" }
\section{Introduction} Deep reinforcement learning (DRL) integrates deep neural networks with reinforcement learning principles, e.g.,Q-learning and policy-gradient, to create a more efficient agent. Recent studies have shown a great success of DRL in numerous challenging real-world problems, e.g., video games and robo...
{ "timestamp": "2020-11-03T02:37:45", "yymm": "2011", "arxiv_id": "2011.00791", "language": "en", "url": "https://arxiv.org/abs/2011.00791" }
\section{Background\label{sec:background}} \input{images/restrictions/restrictions} We develop an algorithm which grows sparse roadmaps over fiber bundles to efficiently exploit high-dimensional planning problems. As background for this task, we review the topics of optimal motion planning, multilevel abstract...
{ "timestamp": "2021-10-08T02:10:28", "yymm": "2011", "arxiv_id": "2011.00832", "language": "en", "url": "https://arxiv.org/abs/2011.00832" }
"\\section{Introduction}\n\nTo date, Einstein's General Relativity (GR) strongly stands against myri(...TRUNCATED)
{"timestamp":"2020-11-03T02:37:59","yymm":"2011","arxiv_id":"2011.00805","language":"en","url":"http(...TRUNCATED)
"\n\n\n\\subsection{KB Module for Inferential Reasoning}\n\\label{subsec:KGN}\nThe KB module aims to(...TRUNCATED)
{"timestamp":"2020-11-03T02:37:07","yymm":"2011","arxiv_id":"2011.00777","language":"en","url":"http(...TRUNCATED)
"\\section{Preliminaries}\n\nIn this section, we provide the basic LP relaxations for load balancing(...TRUNCATED)
{"timestamp":"2021-02-23T02:36:36","yymm":"2011","arxiv_id":"2011.00817","language":"en","url":"http(...TRUNCATED)
"\\section*{Abstract}\n\\begin{abstract}\n Magnetic skyrmions were thought to be stabilised only in(...TRUNCATED)
{"timestamp":"2020-11-03T02:37:27","yymm":"2011","arxiv_id":"2011.00785","language":"en","url":"http(...TRUNCATED)
"\\section{Introduction}\n\nZero-shot and few-shot learning are notoriously challenging for neural n(...TRUNCATED)
{"timestamp":"2020-11-03T02:41:28","yymm":"2011","arxiv_id":"2011.00890","language":"en","url":"http(...TRUNCATED)
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