Datasets:

pjramg
/

arcade_yolo-stenunet_subset

Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Column 4: In chunk 0: Invalid: Length spanned by list offsets (378) larger than values array (length 376)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 646, in write_table
                  pa_table = embed_table_storage(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2254, in embed_table_storage
                  return pa.Table.from_arrays(arrays, schema=features.arrow_schema)
                File "pyarrow/table.pxi", line 3991, in pyarrow.lib.Table.from_arrays
                File "pyarrow/table.pxi", line 3271, in pyarrow.lib.Table.validate
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Column 4: In chunk 0: Invalid: Length spanned by list offsets (378) larger than values array (length 376)
              
              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 1456, 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 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 1858, 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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cls string	custom_metrics null	ytrue list	ypred list	confs list	weights null	ytrue_ids list	ypred_ids list	classes list	missing string	ious list
fiftyone.utils.eval.detection.DetectionResults	null	[ "stenosis", "stenosis", "stenosis", "stenosis", "stenosis", "(none)", "stenosis", "stenosis", "(none)", "(none)", "stenosis", "stenosis", "stenosis", "stenosis", "stenosis", "(none)", "stenosis", "(none)", "stenosis", "(none)", "(none)", "stenosis", "(none)", "stenosis"...	[ "(none)", "(none)", "stenosis", "stenosis", "stenosis", "stenosis", "(none)", "stenosis", "stenosis", "stenosis", "(none)", "stenosis", "stenosis", "stenosis", "stenosis", "stenosis", "stenosis", "stenosis", "(none)", "stenosis", "stenosis", "(none)", "stenosis", "(none...	[ 0.45276, 0.437011, 0.376356, 0.27255, null, 0.604063, 0.43135, 0.347101, null, 0.667985, 0.269125, 0.251765, 0.681008, 0.50273, 0.373529, 0.25189, null, 0.609219, 0.322042, null, 0.4143, null, null, 0.474045, null, 0.496682, 0.616352, null, null, 0.618956, ...	null	[ "6867ffe2469ae5fd07f7d5df", "6867ffe2469ae5fd07f7d5e1", "6867ffe2469ae5fd07f7d5e4", "6867ffe2469ae5fd07f7d5e2", "6867ffe2469ae5fd07f7d5e3", null, "6867ffe2469ae5fd07f7d5e5", "6867ffe2469ae5fd07f7d5e6", null, null, "6867ffe2469ae5fd07f7d5e7", "6867ffe2469ae5fd07f7d5e8", "6867ffe2469ae5fd07f7d...	[ "6868030c469ae5fd07f7d7ad", "6868030c469ae5fd07f7d7ae", "6868030c469ae5fd07f7d7af", "6868030c469ae5fd07f7d7b0", null, "6868030c469ae5fd07f7d7b1", "6868030c469ae5fd07f7d7b2", "6868030c469ae5fd07f7d7b3", null, "6868030c469ae5fd07f7d7b4", "6868030c469ae5fd07f7d7b5", "6868030c469ae5fd07f7d7b6", ...	[ "stenosis" ]	(none)	[ 0.8806606943610867, 0.787937510966697, 0.9069175428763687, null, null, 0.9397582852240188, null, null, null, 0.9345755668890398, 0.5217286602428703, 0.8343901410238675, 0.896235987179929, null, 0.6236762961039842, null, null, null, null, null, null, null, null, 0.943701...
fiftyone.utils.eval.detection.DetectionResults	null	[ "stenosis", "stenosis", "stenosis", "stenosis", "stenosis", "(none)", "stenosis", "stenosis", "(none)", "(none)", "stenosis", "stenosis", "stenosis", "stenosis", "stenosis", "(none)", "stenosis", "(none)", "stenosis", "(none)", "(none)", "stenosis", "(none)", "stenosis"...	[ "(none)", "(none)", "stenosis", "stenosis", "stenosis", "stenosis", "(none)", "stenosis", "stenosis", "stenosis", "(none)", "stenosis", "stenosis", "stenosis", "stenosis", "stenosis", "stenosis", "stenosis", "(none)", "stenosis", "stenosis", "(none)", "stenosis", "(none...	[ 0.45276, 0.437011, 0.376356, 0.27255, null, 0.604063, 0.43135, 0.347101, null, 0.667985, 0.269125, 0.251765, 0.681008, 0.50273, 0.373529, 0.25189, null, 0.609219, 0.322042, null, 0.4143, null, null, 0.474045, null, 0.496682, 0.616352, null, null, 0.618956, ...	null	[ "6867ffe2469ae5fd07f7d5df", "6867ffe2469ae5fd07f7d5e1", "6867ffe2469ae5fd07f7d5e4", "6867ffe2469ae5fd07f7d5e2", "6867ffe2469ae5fd07f7d5e3", null, "6867ffe2469ae5fd07f7d5e5", "6867ffe2469ae5fd07f7d5e6", null, null, "6867ffe2469ae5fd07f7d5e7", "6867ffe2469ae5fd07f7d5e8", "6867ffe2469ae5fd07f7d...	[ "6868030c469ae5fd07f7d7ad", "6868030c469ae5fd07f7d7ae", "6868030c469ae5fd07f7d7af", "6868030c469ae5fd07f7d7b0", null, "6868030c469ae5fd07f7d7b1", "6868030c469ae5fd07f7d7b2", "6868030c469ae5fd07f7d7b3", null, "6868030c469ae5fd07f7d7b4", "6868030c469ae5fd07f7d7b5", "6868030c469ae5fd07f7d7b6", ...	[ "stenosis" ]	(none)	[ 0.8806606943610867, 0.787937510966697, 0.9069175428763687, null, null, 0.9397582852240188, null, null, null, 0.9345755668890398, 0.5217286602428703, 0.8343901410238675, 0.896235987179929, null, 0.6236762961039842, null, null, null, null, null, null, null, null, 0.943701...

Dataset Card for arcade_subset_test

This is a FiftyOne dataset with 179 samples.

Installation

If you haven't already, install FiftyOne:

pip install -U fiftyone

Usage

import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("pjramg/arcade_yolo-stenunet_subset")

# Launch the App
session = fo.launch_app(dataset)

Dataset Details

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