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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 3
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 84643)
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 3
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}
With the explosive growth of Internet of Things (IoT) devices, wireless communication networks (WCNs) are increasingly facing the challenge of allocating finite transmit power and bandwidth for system utility maximization~\cite{xu2021survey}. Accordingly, one needs to design advanced radio resou... | {
"timestamp": "2022-07-05T02:23:46",
"yymm": "2112",
"arxiv_id": "2112.01738",
"language": "en",
"url": "https://arxiv.org/abs/2112.01738"
} |
\section{Introduction}
Vector Quantised Variational AutoEncoder (VQ-VAE) ~\cite{van2017neural} is a popular method developed to compress images into discrete representations for the generation. Typically, after the compression and discretization representation by the convolutional network, an autoregressive model i... | {
"timestamp": "2021-12-06T02:16:48",
"yymm": "2112",
"arxiv_id": "2112.01799",
"language": "en",
"url": "https://arxiv.org/abs/2112.01799"
} |
"\\section{Introduction}\nBlazars are the most extreme subclass of active galactic nuclei (AGN) with(...TRUNCATED) | {"timestamp":"2021-12-06T02:13:16","yymm":"2112","arxiv_id":"2112.01739","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\n\\label{intro}\nThe astrophysical plasmas characterized by high Lundquist (...TRUNCATED) | {"timestamp":"2021-12-06T02:15:59","yymm":"2112","arxiv_id":"2112.01785","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\\label{sec:intro}\n\n\nSpace provides a useful vantage point for monitoring(...TRUNCATED) | {"timestamp":"2021-12-06T02:11:43","yymm":"2112","arxiv_id":"2112.01723","language":"en","url":"http(...TRUNCATED) |
"\\section{Limitations and Conclusion}\n\\label{sec:conclusion}\n\nA major limitation of NeRF-SR{} i(...TRUNCATED) | {"timestamp":"2022-07-22T02:23:05","yymm":"2112","arxiv_id":"2112.01759","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\n\nMachine Learning (ML) applications recently demonstrated widespread adop(...TRUNCATED) | {"timestamp":"2021-12-06T02:15:43","yymm":"2112","arxiv_id":"2112.01777","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\nSurface codes are an important class of error correcting codes in fault to(...TRUNCATED) | {"timestamp":"2021-12-28T02:11:58","yymm":"2112","arxiv_id":"2112.01752","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\n\\label{sec:intro}\nThere are numerous links between probabilistic cellula(...TRUNCATED) | {"timestamp":"2022-03-29T02:19:48","yymm":"2112","arxiv_id":"2112.01778","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction} \\label{intro}}\n\n\\IEEEPARstart{F}{ace} detection, one of the most popula(...TRUNCATED) | {"timestamp":"2021-12-06T02:16:01","yymm":"2112","arxiv_id":"2112.01787","language":"en","url":"http(...TRUNCATED) |
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