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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: JSON parse error: Invalid escape character in string. in row 28
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 27127)
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: Invalid escape character in string. in row 28
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}
In Q4’19, Yelp had 36 million unique users and seated 30 million diners. It is not a stretch to say that poor Yelp reviews can "kill" a restaurant in today's high-review, high-traffic world. Luca (2016) found that a "one-star increase in Yelp rating leads to a 5-9 percent increase in revenue" wit... | {
"timestamp": "2020-11-04T02:09:23",
"yymm": "2011",
"arxiv_id": "2011.01434",
"language": "en",
"url": "https://arxiv.org/abs/2011.01434"
} |
\section{Introduction}
\label{sec_intto}
High-dimensional data are ubiquitous and commonly used in various real-world applications such as computer vision and image processing.
Often times, such data have latent low-dimensional structures rather than uniformly distributed.
To illustrate this, we show a simple e... | {
"timestamp": "2020-11-04T02:11:10",
"yymm": "2011",
"arxiv_id": "2011.01477",
"language": "en",
"url": "https://arxiv.org/abs/2011.01477"
} |
\section{Introduction}
India is predominantly an agrarian economy, with nearly 70\% of its rural households depending primarily on agriculture for their livelihood. Approximately 82\% of farmers are small and marginal landowners (FAO, India at a glance~\cite{FAO}), which is estimated to grow to 91\% by 2030. The margi... | {
"timestamp": "2020-11-04T02:12:05",
"yymm": "2011",
"arxiv_id": "2011.01498",
"language": "en",
"url": "https://arxiv.org/abs/2011.01498"
} |
"\\section{Introduction}\n\t\\subsection{Polymer models in statistical physics. }In this paper, we c(...TRUNCATED) | {"timestamp":"2022-07-29T02:16:00","yymm":"2011","arxiv_id":"2011.01491","language":"en","url":"http(...TRUNCATED) |
"\n\n\n\n\n\\subsection{Servers and Jobs}\n\\noindent {\\bf Servers:} We assume servers in the netwo(...TRUNCATED) | {"timestamp":"2020-11-04T02:11:29","yymm":"2011","arxiv_id":"2011.01485","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\n\n\\subsection{Problem} \nIn the paper, we are concerned with the initial-(...TRUNCATED) | {"timestamp":"2020-11-04T02:12:24","yymm":"2011","arxiv_id":"2011.01503","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\n\nIn this paper, we consider the following viscosity dependent Stokes equa(...TRUNCATED) | {"timestamp":"2020-11-04T02:10:16","yymm":"2011","arxiv_id":"2011.01458","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\n\t\\label{sec:introduction}\n\n\t\n\t\\IEEEPARstart{D}{eep} learning has b(...TRUNCATED) | {"timestamp":"2022-06-08T02:01:09","yymm":"2011","arxiv_id":"2011.01509","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\nThe state of the art convolutional networks has been quite successful at v(...TRUNCATED) | {"timestamp":"2020-11-04T02:10:58","yymm":"2011","arxiv_id":"2011.01472","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\n\\label{sec:intro}\n\n\n\n\\IEEEPARstart{D}{istributed} machine learning h(...TRUNCATED) | {"timestamp":"2022-10-28T02:03:06","yymm":"2011","arxiv_id":"2011.01455","language":"en","url":"http(...TRUNCATED) |
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