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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<paloma_paragraphs: list<item: null>, paloma_documents: list<item: null>>
to
{'paloma_paragraphs': Sequence(feature=Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), length=-1, id=None)}
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2245, in cast_table_to_schema
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2246, in <listcomp>
cast_array_to_feature(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2108, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<paloma_paragraphs: list<item: null>, paloma_documents: list<item: null>>
to
{'paloma_paragraphs': Sequence(feature=Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), length=-1, id=None)}
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 1412, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 988, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, 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 1897, 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.
added string | attributes dict | created string | doc dict | id string | metadata dict | text string |
|---|---|---|---|---|---|---|
2024-02-18T23:39:39.769Z | {
"paloma_paragraphs": []
} | 2022-07-05T02:23:46.000Z | {
"arxiv_id": "2112.01738",
"language": "en",
"timestamp": "2022-07-05T02:23:46",
"url": "https://arxiv.org/abs/2112.01738",
"yymm": "2112"
} | proofpile-arXiv_065-0 | {
"provenance": "001.jsonl.gz:1"
} | \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... |
2024-02-18T23:39:39.773Z | {
"paloma_paragraphs": []
} | 2021-12-06T02:16:48.000Z | {
"arxiv_id": "2112.01799",
"language": "en",
"timestamp": "2021-12-06T02:16:48",
"url": "https://arxiv.org/abs/2112.01799",
"yymm": "2112"
} | proofpile-arXiv_065-1 | {
"provenance": "001.jsonl.gz:2"
} | \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... |
2024-02-18T23:39:39.775Z | {
"paloma_paragraphs": []
} | 2021-12-06T02:13:16.000Z | {"arxiv_id":"2112.01739","language":"en","timestamp":"2021-12-06T02:13:16","url":"https://arxiv.org/(...TRUNCATED) | proofpile-arXiv_065-2 | {
"provenance": "001.jsonl.gz:3"
} | "\\section{Introduction}\nBlazars are the most extreme subclass of active galactic nuclei (AGN) with(...TRUNCATED) |
2024-02-18T23:39:39.779Z | {
"paloma_paragraphs": []
} | 2021-12-06T02:15:59.000Z | {"arxiv_id":"2112.01785","language":"en","timestamp":"2021-12-06T02:15:59","url":"https://arxiv.org/(...TRUNCATED) | proofpile-arXiv_065-3 | {
"provenance": "001.jsonl.gz:4"
} | "\\section{Introduction}\n\\label{intro}\nThe astrophysical plasmas characterized by high Lundquist (...TRUNCATED) |
2024-02-18T23:39:39.782Z | {
"paloma_paragraphs": []
} | 2021-12-06T02:11:43.000Z | {"arxiv_id":"2112.01723","language":"en","timestamp":"2021-12-06T02:11:43","url":"https://arxiv.org/(...TRUNCATED) | proofpile-arXiv_065-4 | {
"provenance": "001.jsonl.gz:5"
} | "\\section{Introduction}\\label{sec:intro}\n\n\nSpace provides a useful vantage point for monitoring(...TRUNCATED) |
2024-02-18T23:39:39.785Z | {
"paloma_paragraphs": []
} | 2022-07-22T02:23:05.000Z | {"arxiv_id":"2112.01759","language":"en","timestamp":"2022-07-22T02:23:05","url":"https://arxiv.org/(...TRUNCATED) | proofpile-arXiv_065-5 | {
"provenance": "001.jsonl.gz:6"
} | "\\section{Limitations and Conclusion}\n\\label{sec:conclusion}\n\nA major limitation of NeRF-SR{} i(...TRUNCATED) |
2024-02-18T23:39:39.787Z | {
"paloma_paragraphs": []
} | 2021-12-06T02:15:43.000Z | {"arxiv_id":"2112.01777","language":"en","timestamp":"2021-12-06T02:15:43","url":"https://arxiv.org/(...TRUNCATED) | proofpile-arXiv_065-6 | {
"provenance": "001.jsonl.gz:7"
} | "\\section{Introduction}\n\nMachine Learning (ML) applications recently demonstrated widespread adop(...TRUNCATED) |
2024-02-18T23:39:39.790Z | {
"paloma_paragraphs": []
} | 2021-12-28T02:11:58.000Z | {"arxiv_id":"2112.01752","language":"en","timestamp":"2021-12-28T02:11:58","url":"https://arxiv.org/(...TRUNCATED) | proofpile-arXiv_065-7 | {
"provenance": "001.jsonl.gz:8"
} | "\\section{Introduction}\nSurface codes are an important class of error correcting codes in fault to(...TRUNCATED) |
2024-02-18T23:39:39.793Z | {
"paloma_paragraphs": []
} | 2022-03-29T02:19:48.000Z | {"arxiv_id":"2112.01778","language":"en","timestamp":"2022-03-29T02:19:48","url":"https://arxiv.org/(...TRUNCATED) | proofpile-arXiv_065-8 | {
"provenance": "001.jsonl.gz:9"
} | "\\section{Introduction}\n\\label{sec:intro}\nThere are numerous links between probabilistic cellula(...TRUNCATED) |
2024-02-18T23:39:39.796Z | {
"paloma_paragraphs": []
} | 2021-12-06T02:16:01.000Z | {"arxiv_id":"2112.01787","language":"en","timestamp":"2021-12-06T02:16:01","url":"https://arxiv.org/(...TRUNCATED) | proofpile-arXiv_065-9 | {
"provenance": "001.jsonl.gz:10"
} | "\\section{Introduction} \\label{intro}}\n\n\\IEEEPARstart{F}{ace} detection, one of the most popula(...TRUNCATED) |
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