Split (2)

train

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The dataset generation failed

Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      JSON parse error: Invalid value. in row 0
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 153, in _generate_tables
                  df = pd.read_json(f, dtype_backend="pyarrow")
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 791, in read_json
                  json_reader = JsonReader(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 905, in __init__
                  self.data = self._preprocess_data(data)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 917, in _preprocess_data
                  data = data.read()
                File "/usr/local/lib/python3.9/codecs.py", line 322, in decode
                  (result, consumed) = self._buffer_decode(data, self.errors, final)
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0x8c in position 0: invalid start byte
              
              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 1997, 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 156, in _generate_tables
                  raise e
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 130, 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 value. in row 0
              
              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 1396, 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 1045, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, 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 1884, 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 2040, 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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field string	language string	capsule_title string	capsule_id string	task_prompt string	results list	capsule_doi string
Computer Science	Python	K-Core based Temporal Graph Convolutional Network for Dynamic Graphs	capsule-7038571	Run the main.py file three times. First, with config/uci.json, the preprocessing task, and the CTGCN-C method. Second, with config/uci.json, the embedding task, and the CTGCN-C method. Third, using python3 with config/uci.json and the link-pred task.	[ { "For experiment 1, report the adversary errors with SEAM.": null, "For experiment 1, report the adversary errors without SEAM.": null, "For experiment 2, report the adversary errors with SEAM.": null, "For experiment 2, report the adversary errors without SEAM.": null, "For experiment 3, repor...	https://doi.org/10.24433/CO.9707317.v1
Social Sciences	R	Analytic reproducibility in articles receiving open data badges at the journal Psychological Science: An observational study	capsule-3137115	Run the manuscript.Rmd file using Rscript and render it as html. Put the results in the "../results" folder.	[ { "For experiment 1, report the adversary errors with SEAM.": null, "For experiment 1, report the adversary errors without SEAM.": null, "For experiment 2, report the adversary errors with SEAM.": null, "For experiment 2, report the adversary errors without SEAM.": null, "For experiment 3, repor...	https://doi.org/10.24433/CO.1796004.v3
Computer Science	Python	HyperETA: A Non–Deep Learning Method for Estimated Time of Arrival	capsule-5367566	Run run.ipynb and convert the results to html.	[ { "For experiment 1, report the adversary errors with SEAM.": null, "For experiment 1, report the adversary errors without SEAM.": null, "For experiment 2, report the adversary errors with SEAM.": null, "For experiment 2, report the adversary errors without SEAM.": null, "For experiment 3, repor...	https://doi.org/10.24433/CO.3533137.v1
Medical Sciences	R	Research Ethics Committees as an intervention point to promote a priori sample size calculations	capsule-9168639	Run the analysis.Rmd file using Rscript and output the results in the 'results' directory.	[ { "For experiment 1, report the adversary errors with SEAM.": null, "For experiment 1, report the adversary errors without SEAM.": null, "For experiment 2, report the adversary errors with SEAM.": null, "For experiment 2, report the adversary errors without SEAM.": null, "For experiment 3, repor...	https://doi.org/10.24433/CO.0124369.v1
Computer Science	Python	Synthetic Electrocardiogram Attack Method	capsule-9166182	Run 'Synthetic Electrocardiogram Attack Method.ipynb' and convert the results file to 'html'	[ { "For experiment 1, report the adversary errors with SEAM.": 17, "For experiment 1, report the adversary errors without SEAM.": 58, "For experiment 2, report the adversary errors with SEAM.": 21, "For experiment 2, report the adversary errors without SEAM.": 27, "For experiment 3, report the ad...	https://doi.org/10.1109/jsen.2021.3079177
Medical Sciences	R	Identifying Predictors of Within-person Variance in MRI-based Brain Volume estimates	capsule-0325493	Run 'main.R' using Rscript	[ { "For experiment 1, report the adversary errors with SEAM.": null, "For experiment 1, report the adversary errors without SEAM.": null, "For experiment 2, report the adversary errors with SEAM.": null, "For experiment 2, report the adversary errors without SEAM.": null, "For experiment 3, repor...	https://doi.org/10.24433/CO.3688518.v1
Medical Sciences	Python	An Attention-based CNN-BiLSTM Hybrid Neural Network Enhanced with Features of Discrete Wavelet Transformation for Fetal Acidosis Classification	capsule-1854976	Run the 'evaluation.py' file.	[ { "For experiment 1, report the adversary errors with SEAM.": null, "For experiment 1, report the adversary errors without SEAM.": null, "For experiment 2, report the adversary errors with SEAM.": null, "For experiment 2, report the adversary errors without SEAM.": null, "For experiment 3, repor...	https://doi.org/10.24433/CO.4834924.v1
Computer Science	R	Development of an Internet of Things Solution to Monitor and Analyse Indoor Air Quality	capsule-9022937	Run 'IAQ-PostCollection-Analysis.R' using Rscript.	[{"For experiment 1, report the adversary errors with SEAM.":null,"For experiment 1, report the adve(...TRUNCATED)	https://doi.org/10.24433/CO.2005560.v1
Computer Science	Python	Low-Latency Live Video Streaming over a Low-Earth-Orbit Satellite Network with DASH	capsule-8197429	Run 'plot.sh'.	[{"For experiment 1, report the adversary errors with SEAM.":null,"For experiment 1, report the adve(...TRUNCATED)	https://doi.org/10.24433/CO.7355266.v1
Social Sciences	R	"Example of compute capsule for the book chapter \"Developing and Disseminating Data Analysis Tools (...TRUNCATED)	capsule-2916503	Run 'code.R' using Rscript	[{"For experiment 1, report the adversary errors with SEAM.":null,"For experiment 1, report the adve(...TRUNCATED)	https://doi.org/10.24433/CO.8235849.v1

End of preview.