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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 21
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 52772)
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 21
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}
The Event Horizon Telescope Collaboration (EHTC) has recently published the first polarized image of the supermassive black hole (SMBH) at the center of giant elliptical galaxy Messier 87 \citep[hereafter M87*;][]{PaperI,PaperII,PaperIII,PaperIV,PaperV,PaperVI,PaperVII,PaperVIII}. These results f... | {
"timestamp": "2022-10-05T02:02:45",
"yymm": "2210",
"arxiv_id": "2210.01218",
"language": "en",
"url": "https://arxiv.org/abs/2210.01218"
} |
\section{Introduction}
\label{sec:intro}
A handful of fast-moving pulsars have been seen to have narrow X-ray structures (`filaments') extending from the pulsar point source at large angle to the proper motion axis, itself often marked by a Pulsar Wind Nebula (PWN) trail. The first discovered, and arguably most spect... | {
"timestamp": "2022-10-05T02:03:21",
"yymm": "2210",
"arxiv_id": "2210.01228",
"language": "en",
"url": "https://arxiv.org/abs/2210.01228"
} |
\section{Introduction}
\label{sec:introduction}
Reinforcement Learning (RL) is a machine learning area concerned with sequential decision-making in real or simulated environments. RL has a solid theoretical background and shows outstanding capabilities to learn control in unknown non-stationary state-spaces \cite{Berk... | {
"timestamp": "2022-10-05T02:03:42",
"yymm": "2210",
"arxiv_id": "2210.01235",
"language": "en",
"url": "https://arxiv.org/abs/2210.01235"
} |
"\\section{Introduction} \\label{sec:intro}\n\\input{sections/intro.tex}\n\n\\begin{figure*}[t]\n (...TRUNCATED) | {"timestamp":"2022-10-05T02:01:05","yymm":"2210","arxiv_id":"2210.01166","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\nThe unconditional security offered by quantum key distribution (QKD) relie(...TRUNCATED) | {"timestamp":"2022-10-05T02:02:07","yymm":"2210","arxiv_id":"2210.01204","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\\label{sec:introduction}\n\t\n\tFederated Learning (\\mtext{FL}) is designe(...TRUNCATED) | {"timestamp":"2022-10-05T02:01:18","yymm":"2210","arxiv_id":"2210.01176","language":"en","url":"http(...TRUNCATED) |
"\\section*{References}}\n\\graphicspath{{figures/}}\n\n\\include{preamble}\n\n\\journal{Computers a(...TRUNCATED) | {"timestamp":"2022-10-05T02:04:21","yymm":"2210","arxiv_id":"2210.01251","language":"en","url":"http(...TRUNCATED) |
"\\section{0pt}{1.0ex plus 0.5ex minus 0.2ex}{0.5ex plus 0.3ex minus 0.2ex}\n\n\\makeatletter\n\n\\d(...TRUNCATED) | {"timestamp":"2022-10-05T02:03:51","yymm":"2210","arxiv_id":"2210.01240","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\n\nSuppose that $T$ is an $\\forall\\exists$-axiomatizable theory in some c(...TRUNCATED) | {"timestamp":"2022-10-05T02:02:59","yymm":"2210","arxiv_id":"2210.01223","language":"en","url":"http(...TRUNCATED) |
"\\section*{Abstract}\nWe identify three-state Potts paramagnets with gapless edge modes on a triang(...TRUNCATED) | {"timestamp":"2022-10-07T02:02:57","yymm":"2210","arxiv_id":"2210.01187","language":"en","url":"http(...TRUNCATED) |
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